Oxford University Economics Summer School
Applications for Summer School 2026 are now open! Our Summer School gives you the opportunity to complete advanced economics courses taught by internationally renowned economists, whilst immersing yourself in the unique learning experience Oxford provides. Not only that, but our Summer School stands out from the crowd by allowing you to create your own tailor-made learning experience. When you apply you will have the option to select courses in Applied Microeconomics, Macroeconomics or Econometrics; so you can choose morning and afternoon sessions from two different disciplines, or focus on a single field of interest. This allows you to create a tailored learning experience that ensures you get the most out of your time in Oxford. Webinar: Join our webinar to explore the courses offered in the Summer School 2026. Led by our Academic Director, Professor Banu Demir, this session will provide an overview of the courses and what participants can expect from the programme. Date: Wednesday, 13 May 2026 Time: 12:00pm - 12:30pm (BST) Location: Online (via Zoom) Registration Link Drop-In Q&A Sessions Join one of our free Drop-In Q&A Sessions, in which our team will guide you through how this programme works, the course structures, the admissions process, and what you can expect from the academic and social experience. Join our 30-minute session to get quick answers - no preparation required: Thursday, 26 March 2026 Wednesday, 15 April 2026 Tuesday, 5 May 2026 1:00pm - 1:30pm (GMT) 1:00pm - 1:30pm (BST) 3:00pm - 3:30pm (BST) Register Here Register Here Register Here Course Dates: 7 - 11 September 2026 Fees (Two Courses): Professionals: £2,975 Students and Academics: £1,955 Download the Summer School Brochure here. Don’t miss this opportunity to secure your place at a reduced rate and join an inspiring community of learners from around the world. Please note we can only accept payment for the summer school via MasterCard, Visa credit card, Maestro or Visa debit card. As part of your application, you are required to pay an application deposit, which will be deducted from the course payment in case of a successful application. Course and Tutor Information MORNING COURSES<o:p></o:p> <o:p></o:p> Lecture:<o:p></o:p> 09:00 - 11:00<o:p></o:p> <o:p></o:p> Tutorial:<o:p></o:p> 11:30 - 13:00<o:p></o:p> Applied Monetary Economics<o:p></o:p> <o:p></o:p> Professors:<o:p></o:p> Michael McMahon & Silvia Miranda-Agrippino<o:p></o:p> <o:p></o:p> Behavioural Macroeconomics<o:p></o:p> <o:p></o:p> Professor:<o:p></o:p> Alexandre Kohlhas<o:p></o:p> <o:p></o:p> <o:p></o:p> <o:p></o:p> Treatment Effects: Beyond The Basics<o:p></o:p> <o:p></o:p> Professor:<o:p></o:p> Romuald Méango<o:p></o:p> <o:p></o:p> <o:p></o:p> <o:p></o:p> Development Economics <o:p></o:p> <o:p></o:p> <o:p></o:p> Professor:<o:p></o:p> Stefano Caria<o:p></o:p> <o:p></o:p> <o:p></o:p> <o:p></o:p> AFTERNOON COURSES<o:p></o:p> <o:p></o:p> Lecture:<o:p></o:p> 14:00 - 16:00<o:p></o:p> <o:p></o:p> Tutorial:<o:p></o:p> 16:30 - 18:00 International Macroeconomics<o:p></o:p> <o:p></o:p> Professors:<o:p></o:p> Sergio De Ferra & Federica Romei<o:p></o:p> <o:p></o:p> <o:p></o:p> Financial Econometrics<o:p></o:p> <o:p></o:p> <o:p></o:p> Senior Fellow:<o:p></o:p> Cavit Pakel &<o:p></o:p> Professor:<o:p></o:p> Kevin Sheppard<o:p></o:p> <o:p></o:p> Machine Learning<o:p></o:p> <o:p></o:p> <o:p></o:p> Professor:<o:p></o:p> Maximilian Kasy<o:p></o:p> <o:p></o:p> <o:p></o:p> Economics of the Digital and AI Economy<o:p></o:p> <o:p></o:p> Professors:<o:p></o:p> Alexei Parakhonyak &<o:p></o:p> Greg Taylor<o:p></o:p> <o:p></o:p> <o:p></o:p> Apply for the Summer School Now Testimonials “I was a little apprehensive before I came, but these turned out to be the most accessible lectures I’ve ever had in economics. The small class sizes make it easy to speak up and ask questions, and everyone brings a different background and set of strengths.” Laura Bell, Bank of England “A few days on, I’m still reflecting on the incredible week I spent at the Oxford University Economics Summer School. The balance of theory and practical tools sparked new ways of thinking about research and its real-world applications. The faculty, the discussions, and the atmosphere all combined to make it a uniquely engaging and insightful experience that continues to influence my work.” Aditya Bysack, economist “It was a truly intensive and inspiring week that has already given me so many ideas for further research. The lectures, tutorials, and discussions were superbly organised, and the advice and encouragement from faculty have stayed with me long after I returned home.” Marta Czarnecka-Gallas, researcher “It was a pleasure to be back in a university setting, building on concepts from my undergraduate studies and learning new techniques to model, explore, and solve problems. Discussing the policy challenges behind the digital economy made the experience especially engaging and relevant.” Harriet Makin, economist “The experience far exceeded my expectations. It was an honour to learn from distinguished Oxford professors and to apply advanced concepts in seminars using practical tools. Each session broadened my understanding of modern economic research.” Timur Kayaalp, PhD researcher “Over one intensive week I gained new insights, exchanged ideas, and reflected on my research in a broader, international context.” Nils Dellnitz, Doctoral researcher
Oxford University's Summer School is accepting applications for 2026, offering courses in various economics disciplines.
Department of Economics, University of Oxford
Macroeconomics and Monetary Economics (JEL E)
Econometrics, Statistics and Quantitative Methods (JEL C)
AI is being run everywhere, by humans and agents. Harmonic Security governs all of it. The AI Governance and Control (AIGC) platform understands user / agent intent and data context in real time, giving security teams visibility and control across every tool and workflow so companies can move faster with AI while minimizing risk. We operate in one of the fastest-moving spaces in tech: the emerging intersection of AI and cybersecurity. It's a market still being defined, and we're among the first to build natively for it - protecting sensitive data in real time, at the endpoint, with minimal friction for the teams using it. Enterprises get full visibility and control. Their people get to innovate without guardrails slowing them down. Named to the Rising in Cyber 2026 list, Harmonic is gaining serious recognition and serious traction. We're led by deep cybersecurity expertise and backed by investors who know the space: N47, Ten Eleven Ventures, and In-Q-Tel. As AI adoption inside the enterprise accelerates, the ability to safely observe, control, and enforce policy in real time isn't a nice-to-have. It's mission-critical infrastructure. That's what we build. About The Team Our Product Delivery team is the engine that turns vision into impact. We ship early and often, getting valuable features into the hands of customers quickly and iterating fast. We work in the open by default, sharing progress and ideas, and we trust each other to own outcomes. We’re a small but mighty crew where every person plays a critical role and we’re committed to using AI to work smarter and faster. About The Role As our Data Scientist, you’ll help advance our mission to secure Generative AI adoption by building and continuously improving the detection models at the heart of our product - curating high-quality training datasets and tuning production models informed by real-world customer feedback. What You'll Do You’ll build and improve sensitive data detection models end-to-end - defining new sensitive data categories, curating training and evaluation datasets, training and validating models, and shipping production-ready detectors. Once models are live, you’ll continuously improve our existing suite using model performance metrics and direct customer feedback to prioritise retunes and sharpen detection accuracy. You’ll communicate clearly and proactively in a remote/hybrid team - able to explain trade-offs, make recommendations, and bring engineering, security, and product partners along in decisions without slowing momentum. You’ll stay current on techniques that materially improve model and dataset quality, and you'll be directly contributing to the development of groundbreaking technology that empowers secure Generative AI adoption within enterprises. You'd Be A Great Fit if You You’ve taken classification / NLP models from idea to production and owned them after launch - monitoring performance, tuning on real-world feedback, and improving results over time (not just training and handing off). You have strong applied NLP experience: transformers and embeddings, when fine-tuning makes sense, and when a simpler classical approach wins. You’ve built and managed high-quality training and evaluation datasets from messy real-world data - making hard labelling/taxonomy calls, and you can point to how dataset quality moved model performance. You run rigorous evaluation and care about precision/recall trade-offs, so we know a model is better before customers do. You’re expert in Python and comfortable in the modern ML stack (e.g. PyTorch, Hugging Face, scikit-learn). You’re a clear communicator who collaborates well across a remote/hybrid team, and you have a bias for shipping: pragmatic decisions, fast iteration, and incremental delivery. Bonus Points If You Have Experience in data security / sensitive-data classification, or adjacent applied security problem spaces. Experience working directly with customers/end-users to understand the problem domain and validate improvements. Experience operating ML systems in cloud environments (e.g. AWS). How We Work: AI-First by Design Harmonic exists to help enterprises adopt AI safely and at scale. We hold ourselves to the same standard. Everyone at Harmonic actively uses AI tools to do their best work, from research and writing to building processes and automating workflows. We expect every new hire to bring curiosity about AI and a willingness to use it to work smarter, faster, and more creatively. For some roles, that means tinkering and staying open to new tools. For others, it means building entirely new systems with AI at the core. We'll be clear about what we expect for each role, and we'll give you the tools and support to get there. Why Join Us This isn't just a job - it's a chance to help define a category. Harmonic Security was named to the Rising in Cyber 2026 list, and we're just getting started. We're building at the intersection of AI and security, carving out an emerging market where the rules haven't been written yet, and the people who join now will write them. We believe today's talent is tomorrow's success, and we're committed to creating an environment where you can do the best work of your life. Recognized momentum - We made the Rising in Cyber 2026 list, a signal that the market is taking notice. Rare market opportunity - Join early in a category-defining company at the convergence of AI and security, where your work directly shapes how enterprises tackle one of the biggest unsolved problems in tech. Competitive pay and meaningful equity - A real stake in Harmonic's success, not a token gesture. Comprehensive benefits - 401K, pension plan, generous PTO, and flexible hybrid work. A small, high-trust team that values transparency, creativity, and continuous learning - no politics, no bureaucracy. Thoughtful leadership - that cares deeply about your growth, not just your output. Annual global off-sites - past trips include Lisbon, Portugal and Nashville, TN. Real ownership - you'll shape the product, the culture, and the direction of the company from day one.
Join Harmonic Security as a Data Scientist, contribute to AI governance and cybersecurity.
We have a fantastic opportunity for a Senior Business Data Analyst to join our Group Data and AI Office (GDAIO) Team at Royal London. The Senior Business Data Analyst plays an important role in supporting data-informed decision-making within GDAIO. This position will help shape complex data analysis projects, develop analytical approaches, and provide meaningful insights to support business decisions. The role combines analytical expertise with collaborative project delivery, supporting high standards of data quality, accuracy, and integrity across the organisation. The Senior Business Data Analyst will support value-chain mapping of data, interpret system performance metrics, agile team performance data, and financial data, and help check and challenge GDAIO involvement in key initiatives based on return on investment. This role is important in developing and refining processes that turn complex datasets into actionable business intelligence and support better outcomes in the financial services market. Working closely with Data Engineering teams, Business SMEs, Business Sponsors and Senior Leadership, the Senior Business Data Analyst will analyse complex data ecosystems, translate findings into practical recommendations with the Head of Data Strategy and the Head of Data Architecture, and support project teams to align with organisational objectives. This role combines hands-on analysis with collaborative leadership, particularly during complex analysis or key project definition phases. More about the role: Shape and deliver complex data methodologies and analysis projects, developing analytical approaches that support business priorities Support the optimisation and phasing of data sourcing to the Enterprise Data Model (EDM) Evaluate important business processes and identify data-driven improvement opportunities Develop thoughtful analytical solutions to help address complex business challenges Provide clear insights to cross-functional teams and senior stakeholders based on advanced data analysis Help ensure analytical outputs align with business strategies and regulatory requirements Support data quality assessments, migrations and improvement initiatives Coordinate the delivery of high-impact analytical projects, helping ensure timely completion and effective use of resources Role model Royal London values across the GDAIO and broader organisation Support and coach junior Business Data Analysts, helping them build confidence and access development opportunities such as roundtables and conferences Encourage the use of data-driven decision-making practices across the organisation Contribute to initiatives that improve data literacy and analytical capability across business areas What you will bring to the role: Experience in data analysis and modelling, ideally within financial services or another regulated environment Experience delivering analytical projects with multiple stakeholders or interdependencies, especially migrations Knowledge of Agile ways of working and how they can support analytical delivery Good understanding of data lifecycle management and governance Practical experience with data visualisation tools, SQL, cloud-based data platforms, or statistical software Strong analytical and problem-solving skills, with the ability to turn complex data insights into clear business recommendations Good organisational skills, including the ability to balance priorities and support effective delivery Collaborative stakeholder management skills, with the ability to build effective relationships across different teams and levels of the organisation We know that everyone’s experience looks different. If you’re excited about this role and think you could make a positive impact in our data team at Royal London, we’d love to hear from you -even if you don’t meet every requirement. About Royal London We’re the UK’s largest mutual life, pensions and investment company, offering protection, long-term savings and asset management products and services. Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve. We've always been proud to reward employees by offering great workplace benefits such as 28 days annual leave in addition to bank holidays, an up to 14% employer matching pension scheme and private medical insurance. Inclusion, diversity and belonging We’re an inclusive employer. We celebrate and value different backgrounds, perspectives and experiences across Royal London. We welcome applications from people of all backgrounds and are committed to creating a workplace where everyone can feel included, respected and able to thrive.
Join the Group Data and AI Office (GDAIO) Team at Royal London as a Senior Business Data Analyst and support data-informed decision-making within the organization.
CIMS Online Summer Schools: Foundations and Advanced of DSGE Macro Modelling
This is a Virtual Summer school (online) this year. Registration is now open for the CIMS summer school 2026. Register Here This year's Summer school will feature: Foundations of DSGE Macro Modelling The five-day course in Foundations of DSGE Modelling will run from 07-11 September 2026. The five days will consist of foundations courses aimed at early researchers with some knowledge of Real Business Cycle (RBC) or Dynamic Stochastic General Equilibrium (DSGE) macroeconomic models, but little or no experience of Dynare. This course assumes a basic knowledge of Matlab and will begin with the basics of Dynare and proceed to the construction, in stages, of a closed economy New Keynesian (NK) DSGE model. It will then progress to the estimation by Bayesian methods, the study of optimal monetary policy and finish with an extension to the open economy NK DSGE model. The course is aimed at MSc, MRes and PhD students, early researchers, and research staff from central banks, ministries and the private sector, all with some prior experience of macroeconomic modelling and a basic knowledge of Matlab. No prior knowledge of Dynare is necessary. Please note that all participants need to have their own copy of Matlab (https://www.mathworks.com/products/matlab.html) for the course on Foundations of DSGE Macro Modelling. There is a short-term license available for students which is worth checking: https://www.mathworks.com/campaigns/products/trials.html Advanced Macro-Modelling with Applications to Numerical Methods and Heterogeneous Agents The five-day course in Advanced Modelling will run from 14-18 September 2026. The advanced course is aimed at people who are already fluent in Dynare and Matlab, but are finding that their ambition currently exceeds what they are able to do with these tools. We will cover advanced numerical and computational methods to enable people to tackle non-standard models. This course will be useful to anyone who is engaged in practical macroeconomic modelling work, especially if they are interested in working with models that are either computationally expensive to simulate, nonlinear, or infinite dimensional thanks to heterogeneous agents, monetary policy, or optimal taxation and inequality. The course is aimed at MSc, MRes and PhD students, early researchers, and research staff from central banks, ministries and the private sector, all with some prior experience of macroeconomic modelling and a basic knowledge of Matlab. Please note that all participants need to have their own copy of Matlab (https://www.mathworks.com/products/matlab.html) for the course on Advanced Macro Modelling. There is a short-term license available for students which is worth checking: https://www.mathworks.com/campaigns/products/trials.html Online delivery method: The course will be conducted using the Microsoft Teams platform. The university and the lecturers are used to do online teaching and have state-of-the-art systems to do so and are able to deliver highly interactive experiences. Though we will do our best to record all sessions, we are expecting participants to attend them live to enable interactions between participants and lectures. Any and all questions are welcome. There will be opportunities to discuss the projects and research ideas of the participants. This will occur both informally as well as formally during the lecture or break time. After the summer school, lecturers will be available to answer questions and discuss the projects of the participants. Participants will be sent computer codes, lecture notes, and slides ahead of time. Participants will also receive direct assistance before the summer school starts in order to set up all the systems ahead of the online events. The summer school covers the theoretical aspects of the techniques. In addition, the summer school is very hands-on and participants will have carefully implemented exercises where they need to modify parts of the codes. This will be done in the lectures, both in groups and with the help of the instructors. The participants will receive solutions to all exercises and will be provided with computer codes that may then use in their own research..
Following highly successful Summer Schools in previous years, the Centre for International Macroeconomic Studies (CIMS) in the School of Economics, University of Surrey will hold two online summer schools on the Macroeconomics/DSGE School (Foundation and Advanced), from September 7 to 18, 2026. Foundations of DSGE Macro Modelling will consist of a five-day course running from 7 September to 11 September 2026. Advanced Macro-Modelling with Topics including Numerical Methods and Heterogeneous Agents will consist of a five-day course running from 14 September to 18 September 2026.
3rd III/LIS Comparative Economic Inequality Conference
LIS and the UK LIS Satellite Office at the International Inequalities Institute (III) invite scholars working in the field of comparative economic inequality to contribute to the 3rd III/LIS Comparative Economic Inequality Conference on 11-12 February 2027 at the London School of Economics (LSE). We invite submissions from scholars at all levels of seniority who are working on comparative economic inequality, broadly interpreted. Topics might include (but are not restricted to) inequalities in income, wealth, debt, gender, race, class, space. We are particularly interested in papers looking at cross-country differences using LIS/LWS or similar data but are also open to comparative work focusing on inequalities across different socio-demographic or socio-economic groups within countries. The conference focus is on inequality data, measurement and methods, but not restricted to this. Confirmed Keynote Speakers Paula England, NYU Abu Dhabi A second keynote speaker is still to be confirmed Submissions Please send a title and either a complete draft (including an abstract) or, if not yet available, an extended abstract (approximately 2 pages), to iii.Lis@lse.ac.uk, and iii.lis@lisdatacenter.org Special Session – Luxembourg Consumption Study (LCS) Database For the first time, the conference will feature a special session dedicated to research using the LCS (Luxembourg Consumption Study) database, coinciding with its official launch. The LCS is LIS’s new harmonised database on household consumption and expenditure, completing LIS’s income–consumption–wealth data framework. As the Beta release of the data will become available on September 15th, 2026, authors are welcome to submit abstracts describing research they plan to conduct using the LCS Database, based on the documentation currently available on the LIS website. Scientific Committee Prof Dr. Philippe van Kerm (LIS), Prof Dr. Nora Waitkus (LSE), Prof. Dr. H. Xavier Jara (LSE), Dr. Severin Rapp, Teresa Munzi (LIS), Dr. Kun Lee (LIS) Questions For any questions, contact iii.Lis@lse.ac.uk, and iii.lis@lisdatacenter.org.
LIS and the UK LIS Satellite Office at the International Inequalities Institute (III) invite scholars working in the field of comparative economic inequality to contribute to the 3rd III/LIS Comparative Economic Inequality Conference.
Special Conference on Trade Wars, Geopolitical Fragmentation and Repercussions for Financial and Monetary Stability
Background and Context: Global financial and economic imbalances are central to current policy debates on global financial, economic, and political forums. Escalating trade wars, slowing global growth, and geopolitical tensions create new risks for international financial and monetary stability. In addition to the highly publicised trade war between the US and China, some of the closest allies of the former, including Canada, Japan, the UK and other European countries, are witnessing a major shift in their relations with the US. This was partly in response to the so-called “liberation day”, when President Trump imposed tariffs on each US trading partner, pointedly raising the issue of “unfairness” in current trade arrangements. The assertion of unfair trade practices has a political dimension, yet there is no strong supportive evidence or consensus on this issue. For example, the large US trade deficit may reflect an imbalance in investment and savings, a huge budget deficit and productivity, etc., rather than the unfair practices of its trading partners. Furthermore, the demand for dollars as a reserve currency has exacerbated the US trade deficit, contributing to global imbalances. Large trade deficits in the UK and the US can be associated with the prominent role of finance and banking in these economies, which attract international investments but can weigh heavily on export performance. These deficits were financed in part by capital flows from major oil exporters and emerging (surplus) economies. Further, the low international interest rate environment–a result of the large supply of global savings–has played some role. On the other hand, the idea of lifting capital controls and a freely floating Renminbi is also debatable. The challenges that the international trade war initiated by the US administration is bringing to global financial markets and institutions, central banks, investors, business and societies, open new avenues of curiosity and research. The sharp systemic increase in tariffs, the future of the global monetary and financial system, central banking, de-dollarisation, and inter- and intra-Eurozone financial imbalances, in conjunction with increasing international financial integration and financialization, are important aspects to explore. Yet our understanding of these challenges and, hence, the optimal financial and monetary policy response is limited. The identification of these nexuses and implications of trade wars for financial and economic stability is vital to achieving order in the domestic and global financial and monetary system. Therefore, this conference is both timely and necessary to meet some of the most pressing challenges in the age of 21st-century protectionism. Objectives and Scope: The objectives of the conference include the exploration of the trade war’s financial and economic repercussions and solutions that ensure financial and monetary stability. Papers will be written by academics and practitioners of financial and economic policies and financial management, particularly focusing on the impact of trade policy on international financial and monetary stability, and the era of conflict and protectionism. Conference Website: https://leedsbrunel.sciencesconf.org/ Paper Submission (Deadline 1 September): Click Here Registration & Payment (Deadline 30 September): Click Here Potential Topics: -Art of the (trade) deal and financial costs -Asymmetric impacts on regions, commodity exporters, service-oriented economies and manufacturing centres -Capital flows and sudden stops due to trade wars -Central Banking in the age of trade wars and geopolitical conflicts -Central bank digital currencies (CBDCs), trade wars and geopolitical tensions -Currency weaponisation, competitive devaluation and financial instability -Digitisation, financial decoupling and financial stability during trade conflicts -Emerging markets and international financial flows under trade tensions -Empirical and theoretical analyses of strategic financial policies under trade restrictions -Exorbitant privilege of the US$ in the 21st century and the rise of alternative currencies -European Economic and Monetary Union’s financial integration with the US and the Global South -Financialization in the context of trade wars -Global financial imbalances, causes and financial consequences in the context of trade wars -International financial and monetary architecture and stress management in the age of trade conflict -Inflation targeting, trade wars and geopolitical conflicts -Productivity, innovation and efficiency related to technological spillovers and protectionism -Reallocation of global capital, safe havens and asset price bubbles during trade conflicts -Regional financial and monetary integration and the positive role of regions during trade conflicts -Role of central banks and macroprudential policy during trade conflicts -Sustainable financial development of the Global South and trade wars -Tariffs and non-tariff barriers and their negative financial impact on markets and firms Keynote Speaker: Beata Javorcik is Chief Economist of the European Bank for Reconstruction and Development in London and holds a Statutory Professorship in Economics at Oxford University. She is a member of the Royal Economic Society’s Executive Committee and a Director of the International Trade Programme at the Centre for Economic Policy Research in London. Before taking up her position at Oxford University, she worked at the World Bank in Washington D.C. She holds a PhD in Economics from Yale and a BA in Economics from the University of Rochester. Panel Discussants: Ricardo Reis (LSE), Gulcin Ozkan (KCL), Jagjit Chadha (Cambridge) Conference Organisers: Guglielmo Maria Caporale, Brunel University of London (UK) Muhammad-Ali Nasir, University of Leeds (UK) Peter Phelps, University of Leeds (UK) Special Issue: Papers accepted at the conference will be considered for publication in a special issue in Journal of International Money and Finance. There will be a dedicated session at the conference to introduce the special issue. The indicative submission window for the special issue is 1 December, 2026 to 30 June, 2027, with an acceptance deadline of no later than 31 December, 2027. Presentation at conference does not guarantee publication in the special issue; only the highest quality submissions will be considered for peer-review. The special issue Guest Editors are Philip Arestis (Cambridge University), Guglielmo Maria Caporale (Brunel University of London), Muhammad Ali-Nasir (University of Leeds) and Peter Phelps (University of Leeds). The special issue will be overseen by Professor Menzie Chinn (University of Wisconsin-Madison), JIMF Co-Editor. The final decision on publication rests with the journal.
We invite scholars, practitioners and academics to a special International Conference on Trade Wars, Geopolitical Fragmentation and Repercussions for Financial and Monetary Stability, organised jointly by Brunel University of London and University of Leeds (UK) on 4-5 November 2026 at Brunel University of London (UK).
Economics Associate / Director - Manchester
Economics Associate / Director - Manchester Location: Manchester Area: Economics Position Type: Full Time, Permanent Salary: Competitive Job Description Are you ready to ignite your career and make a real impact? We are looking to recruit an Economics Associate or Director in our vibrant Manchester office and become part of a passionate team driving change across the UK. Here, every project is an opportunity to shape communities, champion sustainable growth, and leave your mark on the future. Examples of our work can be seen in the links below: Soapworks, Salford - developing a social value action plan for a mixed-used neighbourhood in Greater Manchester Kirklees Cultural Heart – writing the socio-economic ES chapter and a health impact assessment for the regeneration of Huddersfield town centre. Wisbech Gateway – undertaking economic benefits analysis for a commercial/industrial gateway development in Wisbech, Cambridgeshire. What are we looking for We are seeking a talented individual that can manage a range of complex projects which includes providing economic input on planning statements, local plan representations, economic benefit reports, health impact assessments, equality impact assessments, socio-economic chapters and social impact analysis. You will be expected to lead on the delivery of projects and present analysis to colleagues and clients, as well as at conferences and seminars where appropriate. Your work will be across a range of sectors such as residential and regeneration schemes, town expansion, retail, commercial and leisure-related projects. Your areas of knowledge and expertise: 7+ years’ experience (Associate) 10+ years’ experience (Director) A degree in economics, human geography or a related subject. Knowledge of the planning system and how economic development feeds into it. An in-depth understanding of socio-economic data from official and unofficial sources including ONS, NOMIS and gov.uk. Experience of leading on economic impact assessments for a variety of schemes, calculating job creation, contribution to economic output etc. Experience of writing socio-economic ES chapters for a variety of schemes requiring an environmental impact assessment. Further details can be found on the Job Description attached. Benefits You can expect to be part of a proactive and vibrant team that encourages individual autonomy and initiative. We feel this helps to facilitate a better work life balance that suits individuals’ needs, whilst still being assured of a supportive and collaborative working environment. You will be working on a diverse set of interesting and challenging projects; no one day will be the same! The Team itself is on a trajectory of growth and diversification, making this an incredibly exciting time to join the team. We offer an excellent remuneration and overall benefits package when you join Pegasus Group, which you can view here www.pegasusgroup.co.uk/careers/. We are committed to helping you reach your full potential and support with a range of training and development initiatives throughout your whole career. About Us We are a dynamic development consultancy that thrives on innovation. Our passion lies in crafting stunning spaces that enrich both the built and natural environment, ultimately impacting people's lives for the better. With expertise spanning various sectors such as residential, health, education, retail, energy, leisure, and employment, we specialise in delivering forward-thinking and sustainable solutions tailored to the demands and possibilities of the 21st century. Diversity, Inclusion and Recognition Since 2003, Pegasus Group has consistently grown, earning a reputation for excellence and delivery in the market. Our success is attributed to the commitment and dedication of our talented people across our 15 offices. Our staff are the cornerstone of our achievements, playing a pivotal role in our company's success. We prioritise valuing and empowering our team, fostering a culture of inclusion, and belonging. At Pegasus Group, we emphasise caring for each other, our communities, and our clients. Every individual is encouraged to bring their authentic, best self to work every day. How to Apply Please apply via our website. Make sure to include a copy of your most up to date CV. If you experience any technical issues on the application form or any queries, please email recruitment@pegasusgroup.co.uk.
Join Pegasus Group as an Economics Associate or Director in their Manchester office, focusing on sustainable growth and community impact.
Economic Development, Innovation and Growth (JEL O)
Urban, Rural and Transportation Economics (JEL R)
Research Associate in Health Economics or Medical Statistics
About the role You will join the Leicester Real World Evidence Unit, based within the Leicester Diabetes Centre in the Division of Public Health and Epidemiology, to support a programme of research funded by the NIHR Applied Research Collaboration East Midlands. The role focuses on the design, delivery and quality assurance of applied health research, with particular emphasis on evidence synthesis, cost-effectiveness evaluation and the use of large routinely collected datasets in areas including diabetes and cardiovascular disease. You will work with a large multidisciplinary team of statisticians and epidemiologists while independently managing your own research workload and objectives. The postholder will lead and contribute to systematic reviews, health economic analyses and collaborative research projects, ensuring delivery against key milestones and the production of high-quality research outputs suitable for publication and dissemination at national and international conferences. You will contribute to grant and fellowship applications, support impact and knowledge exchange activities, and engage in professional development, mentoring and, where appropriate, the supervision of doctoral researchers. The University of Leicester is a research‑intensive institution committed to world‑changing research, inclusivity and academic freedom, and the role is situated within an environment that values open debate and diverse perspectives within the law. About you You will have a postgraduate qualification in health economics or medical statistics and a PhD or equivalent professional research experience in a relevant discipline, alongside a strong record of research productivity through high‑quality publications and presentations. You will bring experience of working with datasets in applied health research, excellent knowledge of statistical programming and data management using tools such as Stata or R, and a proven ability to deliver research to agreed deadlines. Experience in the design and conduct of systematic reviews is desirable. You will demonstrate excellent analytical, organisational and communication skills, with the ability to work both independently and collaboratively within a research team. You will be committed to conducting research that delivers impact, to sharing expertise through engagement activities, and to contributing positively to the University community. In line with the University of Leicester’s values, you will support an inclusive and respectful working environment and uphold the principles of academic freedom and freedom of speech within the law throughout your work. Additional information Informal enquiries are welcome and can be made to Dr Clare Gillies at clg13@leicester.ac.uk. As part of the University’s ongoing commitment to professional development, this role will also be considered on a seconded basis for existing staff members. Please ensure this is discussed with your line manager prior to applying. More information regarding secondments can be found here. The University of Leicester has been changing the world, and changing people’s lives, for 100 years. When you join us, you’ll become part of a community of Citizens of Change, which includes not only our staff and our current students but also thousands of Leicester graduates around the world. As a diverse and forward-thinking employer, we embed the principles of equity, diversity and inclusion into everything we do. That includes not just our core missions of teaching and research, but also our support for staff, students and our local community through our values of Inspiring, Impactful and Inclusive. We’re committed to the wellbeing of all our staff and to the sustainability of our environment, on our campus and beyond. We offer a competitive salary package, excellent pension scheme and a generous annual leave allowance, along with opportunities to develop your career in a supportive and collaborative environment.
Vacancy ID: 13345 Location: Leicester Vacancy terms: Full time fixed term contract for 2 years Salary details: Grade 7 - £39,906 to £46,049 per annum Hours per week: 37.5 Advert closes midnight on: 15 Jun 2026
6th Global Economic Policy Workshop: The Economics of Geopolitical Fragmentation
The global economic order is undergoing profound transformation as geopolitical tensions increasingly reshape international trade, finance, investment, technology, and global governance. After decades of deepening global integration, the world economy is now characterised by growing fragmentation, reflected in the reorganisation of supply chains, the emergence of competing technological ecosystems, the increasing use of sanctions and export controls, and the formation of economic blocs with diverging strategic priorities. The 6th Global Economic Policy Group Workshop, titled The Economics of Geopolitical Fragmentation, will take place on 25–26 September 2026 at the Goethe Institut, Budapest, Hungary. The workshop is organised by the Global Economic Policy Group in collaboration with the University of Westminster, FernUniversität in Hagen, and the Goethe Institut. The workshop aims to bring together researchers working on the economic implications of geopolitical fragmentation and related topics in international economics and finance. It welcomes theoretical, empirical, and policy-oriented contributions addressing issues such as geopolitical risk, trade and investment fragmentation, technological decoupling, sanctions and economic statecraft, global supply chains, international monetary and financial system fragmentation, emerging markets, and global economic governance. Selected papers presented at the workshop will be considered for a special issue of the International Journal of Finance and Economics. Submissions of extended abstracts or full papers should be sent to k.jackson@westminster.ac.uk by 15 July 2026. There is no fee payable to attend the workshop.
Dates: 25–26 September 2026 Venue: Goethe Institut, Budapest, Hungary Organised by: University of Westminster, FernUniversität in Hagen, and Goethe Institut Special Issue Opportunity: International Journal of Finance and Economics Submission Deadline: 15 July 2026 Submissions and Enquiries: k.jackson@westminster.ac.uk Registration Fee: There is no fee payable to attend this workshop.
Closely related to our MSc Economics course, MSc Applied Economics takes a more practical approach to the subject to prepare you for a range of professional roles in the field of economics. You'll receive rigorous training in all the main aspects of economics – such as microeconomics, macroeconomics and econometrics – with a focus on their application to contemporary economic challenges and issues. Alongside the study of economic theory, you can select from a range of supplementary topics to tailor the course to your personal interests and career aspirations. These may include: behavioural economics and finance environmental and natural resource economics economics of politics macroeconomic policy and institutions applied financial economics economics of banking and financial institutions financial markets and investment banking machine learning applications in economics and finance If you want to specialise in finance or banking, you may be more suited to our MSc Applied Economics with Banking and Financial Markets course. MSc project The course culminates with a project, in the form of two policy briefs or a traditional dissertation. Both options give you the opportunity to apply your newly acquired knowledge to a specific economic area or debate that interests you or is relevant to your career aspirations. Policy briefs The policy briefs allow you to communicate the practical implications of a real-world piece of policy, or your own research into a challenge or issue, to an audience of private and public sector practitioners. You will conduct appropriate research and data analysis (if necessary), before presenting your findings as a written report. Dissertation You can choose to do a traditional dissertation. This enables you to use sophisticated economic theories in a piece of applied research work. Use specialist facilities You’ll have access to some of the latest industry-standard statistical, mathematical and econometric software in our computer labs, including EViews, Stata, Matlab and Python. Access to top-tier international databases will allow you to access up-to-the-minute data on real-world trends to enhance your learning experience. Gain important career skills On successful completion of the course, you will be able to: understand and apply microeconomic and macroeconomic theories to a wide range of economic scenarios apply theories and statistical tools to analyse, visualise and conceptualise economic data use mathematical, statistical and econometric methods to carry out quantitative analyses of applied economics problems conduct applied research in both private and public contexts. We limit student numbers on this course to ensure a collegiate atmosphere and a high degree of interaction between students and lecturers. Graduate prospects This course is designed to equip you with the knowledge and practical abilities required to work in various careers within economics. These include banking, consulting, governmental organisations and research institutions. It also provides suitable preparation for doctoral study and future roles in academia. Common graduate roles in applied economics include: applied economist civil servant consultant financial analyst investment banker risk analyst Recent graduates have gone on to work in a number of different roles across the world in organisations such as: World Bank Royal Bank of Scotland HSBC JP Morgan Chase &Co. Deloitte HMRC and other government institutions both in the UK and overseas Others have chosen to continue their careers in academia. Compare all our economics master’s courses
Gain a strong grounding in advanced economics, with a focus on the application of economic theory and policy analysis in contemporary real-world settings.
Public Economics & Economic Policy (JEL H)
Agricultural and Environmental Economics (JEL Q)
Find out more here
Our MSc Economics and Finance course is designed to give you the skills to start your career in a financial institution, consultancy, ministry of finance or economics, or a central bank. On this specialist master's, you’ll study advanced economic theory alongside relevant finance topics, some of which are taught by our School of Management. You will: explore how economics can be used to help address real financial issues, such as global financial crises gain a deeper understanding of econometrics to interpret and analyse empirical data effectively learn to apply established models and how to alter, test, and adapt your analysis in new market environments Dissertation or Practice Track The course culminates with either a traditional dissertation or a consultancy project. Dissertation You can choose to do a dissertation on an economic area that interests you or that is most useful in your career. This will allow you to apply your newly acquired knowledge to a specific problem or debate. Consultancy Project The consultancy project is an alternative to the dissertation. You’ll work on a consultancy or research-based project with an external organisation, helping them to address a real-world business challenge. You’ll conduct appropriate research and data analysis (if necessary), before presenting your findings as a written report and presentation. Consultancy project numbers are limited each year. You’ll apply for a suitable project with one of our external partners and will receive support from us during this process. If a suitable project can’t be secured, you will complete a dissertation instead.<o:p></o:p> Find out more about the consultancy project<o:p></o:p> Use specialist facilities You’ll have access to some of the latest industry-standard statistical, mathematical and econometric software in our computer labs, including EViews, Stata, Matlab and Python. Access to top-tier international databases will allow you to access up-to-the-minute data on real-world trends to enhance your learning experience. Gain important career skills On successful completion of the course, you will be able to: understand and apply microeconomic and macroeconomic financial theories and concepts, including asset pricing, risk management, and corporate finance analyse, visualise and conceptualise economic and financial data using established methodologies and statistical tools critically evaluate existing research and write at an academic level when formulating original research questions We limit student numbers on this course to ensure a collegiate atmosphere and a high degree of interaction between students and lecturers. Graduate prospects This course is designed to give you the knowledge and level of skills required to secure work within financial institutions, consultancies, ministries of finance or economics, or central banks. You’ll be better prepared to become a financial analyst, trader or banker; or an economist in government, research units, or commercial enterprises. It also provides suitable preparation for doctoral study and future careers in academia. Recent graduates have gone on to work in a number of different roles within economics across the world. These include: Senior Credit Analyst (Deutsche Leasing China) Analyst Developer (Schroders) Private Banking Executive (Barclays Wealth and Investment Management, London) Relationship Manager (JP Morgan Chase, China) Research Analyst (Farringdon Capital Management, Denmark) Assistant Vice President (HSBC Commercial Banking, Hong Kong) Head of Market Intelligence (Cisco Systems) Investment Specialist (TKB Investment Partners, Russia) Others have chosen to continue their careers in academia. Compare all our economics master’s courses
Combine core economics knowledge and theory with relevant financial topics to develop your skills for a finance-focused career.
Our MSc in Economics will provide you with rigorous training in the three main strands of economics: microeconomics macroeconomics econometrics Alongside these core topics, you will be able to explore specialist areas to enhance your skills around your interests and career aspirations. These include: macroeconomic or public policy economics banking investment decision-making environmental and behavioural economics machine learning methods in economics Dissertation or Consultancy Project The course culminates with either a traditional dissertation or a consultancy project. Dissertation You can choose to do a dissertation on an economic area that interests you or that is most useful in your career. This will allow you to apply your newly acquired knowledge to a specific problem or debate. Consultancy Project The consultancy project is an alternative to the dissertation. You’ll work on a consultancy or research-based project with an external organisation, helping them to address a real-world business challenge. You’ll conduct appropriate research and data analysis (if necessary), before presenting your findings as a written report and presentation. Consultancy project numbers are limited each year. You’ll apply for a suitable project with one of our external partners and will receive support from us during this process. If a suitable project can’t be secured, you will complete a dissertation instead.<o:p></o:p> Find out more about the consultancy project<o:p></o:p> Use specialist facilities You’ll have access to some of the latest industry-standard statistical, mathematical and econometric software in our computer labs, including EViews, Stata, Matlab and Python. Access to top-tier international databases will allow you to access up-to-the-minute data on real-world trends to enhance your learning experience. Gain important career skills On successful completion of the course, you will be able to: analyse economic and financial data and critically evaluate existing research understand the key issues surrounding major economic debates and contribute to these apply economic concepts to specific economic and social policy questions formulate an original research question and write at an academic level We limit student numbers on this course to ensure a collegiate atmosphere and a high degree of interaction between students and lecturers. Graduate prospects This course is designed to equip you with the knowledge and abilities required to secure work as a professional economist in government, research units or commercial enterprises. It also provides suitable preparation for doctoral study and future careers in academia. Recent graduates have gone on to work in a number of different roles within economics across the world. These include: Principal Case Officer, Competition and Markets Authority (UK) Economic Advisor, Department for Education (UK) Chief Analyst, Enterprise Lithuania Senior Tax Consultant, KPMG (Kazakhstan) Investment Manager, private equity company (Czech Republic) Director, Regional Sector Research, Emirates NBD Global Markets and Treasury Department (United Arab Emirates) Others have chosen to continue their careers in academia. Compare all our economics master’s courses
Develop your understanding of the core tools and approaches needed to be a professional economist or to progress to doctoral study.
Purpose of the job: To manage all commercial aspects of projects, from assisting the tendering process to the settlement of accounts. Seek to minimise costs and enhance value, while still achieving the required standards and quality. Key Objectives Maintain contract documentation e.g. applications for payment, quotations, variations, notifications and ensure such is provided in accordance with the terms and conditions of contracts Monitor and control income and expenditure on contracts e.g. interim/final applications for payment/final accounts/payments for late monies etc. liaising where necessary with the relevant people e.g. clients, Project Managers, senior management etc. Produce relevant monthly reports for the Commercial Manager e.g. cost and value reports, cashflow forecasts, cost to completes, turnover forecasts, WIP reports, risk and opportunity registers, earned value analysis etc. ensuring information is complete and accurate Maintain compliance of contracts in accordance with corporate procedures quietened Main Responsibilities Undertake programme monitoring to ensure identification of delays and entitlement to time Administer effective potential and actual contract change control ensuring timely submission of correct notices and prompt agreement/implementation with client and subcontractors Build positive relationships with subcontractors and ensure subcontracts are properly let. Ensure financial and contractual control of subcontractors accounts in accordance with legislation and corporate procedures Develop proactive and appropriate relationships with both internal and external stakeholders; to provide the appropriate guidance to make good business decisions Work with Project Managers to support the efficient and effective execution of projects ensuring contractual arrangements for cost, quality and delivery are achieved • Ensure all commercial activates are in line with the Commercial Strategy and meet all operational, financial, commercial, legislative standards and targets To attend contract handover meetings, start up meetings, progress meetings and contract review meetings as necessary Provide support to Sales and Estimating for all commercial activities To ensure that Contracts are set up according to Project and Company requirements including the use of WBS codes were relevant and that all associated paperwork and accurate records are collated and filed appropriately Ensure that any potential issues are raised with the relevant personnel at the earliest opportunity Responsible for open and adequate communication with peers, line management, senior management, project delivery teams and with clients as necessary To undertake the administration of the sub-contracts to ensure that the Sales contracts are appropriately supported Contributing positively to the effectiveness of project team commercial performance to include priming project managers and their teams on key risks/opportunities in customer contracts, effectively participating as necessary in validation of projects won and interrogating and reporting periodic reviews of lessons learnt Preparation and submission of Interim application for payment, analysing payment notices and monitoring cash receipts. Progress recovery of outstanding debts and resolution of financial exceptions Any other ad hoc duties as may be required and as are commensurate with the grade of the post. Qualifications, Knowledge, Experience and Skills Essential Candidates to have a minimum of 5 years’ experience from a main contracting or project delivery background HND/degree (or equivalent) in Quantity Surveying Previous experience of commercial management and procurement of subcontractors, including chairing regular meetings, measurement and control cycle, certificates and accruals calculations Good contractual and commercial understanding of JCT/NEC/ICHEME forms of contract and knowledge and understanding of Construction Law Ability to demonstrate a good knowledge of monthly reporting and earned value analysis Have knowledge and experience in estimation and cost analysis Excellent communication, numeric and computer literacy skills, proficient in Microsoft Office Excellent organisation and time management skills, with the ability to work under pressure and to tight deadlines Ability to work effectively in a team and delegate, but also able to work on own initiative and build relationships with clients’ surveyor Wide exposure to applications, claims process, placing sub-contracts, negotiation of contracts and agreeing final accounts. Be a problem solver/critical thinker with good attention to detail and good negotiation skills Takes ownership and accountability and demonstrates a professional approach to self and others Desirable Building productive business relationships at all stakeholder levels Results driven self-starter Member of RICS or other relevant professional body, or working towards CSCS card Measures • Performance based KPI’s • Routine appraisals • Feedback from peers Salary: £35K - £45K Dependant on experience Job Type: Permanent. Salary: £35000 - £45000/annum.
Online MSc in Data Science, Technology and Innovation
Online learning Our online learning technology is fully interactive, award-winning and enables you to communicate with our highly qualified teaching staff from the comfort of your own home or workplace. Our online students not only have access to the University of Edinburgh’s excellent resources, but also become part of a supportive online community, bringing together students and tutors from around the world. Programme structure You can study to an MSc, MSc with Medical Informatics specialism, Postgraduate Diploma, Postgraduate Certificate or Postgraduate Professional Development level. These credits will be recognised in their own right for postgraduate level credits or may be put towards gaining a higher award such as a PgCert. Learning outcomes The modular course structure offers broad engagement at different career stages. Individual courses provide an understanding of modern data-intensive approaches while the programme provides the knowledge base to develop a career that majors in data science in an applied domain. Career opportunities This programme is intended for professionals wishing to develop an awareness of applications and implications of data intensive systems. Our aim is to enhance existing career paths with an additional dimension in data science, through new technological skills and/or better ability to engage with data in target domains of application.
Demand is growing for high value data specialists across the sciences, medicine, arts and humanities. The aim of this unique, modular, online distance learning programme is to enhance existing career paths with an additional dimension in data science. The programme is designed to fully equip tomorrow’s data professionals, offering different entry points into the world of data science – across the sciences, medicine, arts and humanities. Students will develop a strong knowledge foundation of specific disciplines as well as direction in technology, concentrating on the practical application of data research in the real world.
MSc in Online Data Analytics for Government
WHY THIS PROGRAMME The Statistics Group at the University of Glasgow is internationally renowned for its research excellence. Students are able to benefit from this by learning from academics whose expertise covers the analysis of data from a wide range of applications. Designed for part-time study, this programme allows you to gain an MSc degree from a leading university while you're still in full-time employment. Plus, from day one you can start to put your new knowledge to the test at work. You won't have to wait until you've graduated to make a real difference in the workplace. A faster study route, which lets you complete the programme in two years, and a slower study route, which lets you complete the programme in four years, is also available. You will have the freedom to work at your own pace and access to a wide range of learning tools including rich interactive reading material and tutor-led videos. You will also be able to arrange tailored one-to-one sessions with our academic team. PROGRAMME STRUCTURE This flexible part-time programme is usually completed over three years. In the first two years, you will take two courses each trimester. If you are doing the MSc, in the third year you will undertake a project and dissertation. Core courses (MSc / PgDip) SAMPLING FUNDAMENTALS (10 credits) This course introduces students to key concepts from probability theory and provides an introduction to survey sampling with a focus on the underpinning probabilistic mechanisms. STATISTICAL COMPUTING (10 credits) Designed to introduce you to programming in the statistical software environment R. You’ll be introduced to basic concepts and ideas of a statistical computing environment and trained in programming tools which use the R computing environment. The course provides computational skills which will support other courses on the programme and you will learn the fundamental concepts in scientific programming. DATA SCIENCE FOUNDATIONS (10 credits) This course will introduce you to different approaches to learning from data, with a focus on interval estimation, hypothesis testing and frequentist and Bayesian model-based inference. You will then learn how to implement these statistical methods using R. PREDICTIVE MODELLING (ODL) (10 credits) This course will introduce you to predictive modelling using multiple linear regression as a showcase. It will present some of the distributional theory underpinning the normal linear models and the associated methods for testing and interval estimation. You will also find out how the design matrix of a linear model can be constructed to accommodate categorical covariates or, through basis expansions, non-linear effects. ADVANCED PREDICTIVE MODELS (ODL) (10 credits) Looking at models which can account for a non-normal distribution of the response and/or the fact that data is not independent, but correlated. You will gain an overview of different generalisations of linear regression models and become acquainted with the theory of exponential families. You’ll also be introduced to generalised linear models and the concept of a time series. STATISTICS IN GOVERNMENT (10 credits) The course provides an introduction and overview of survey sampling and design, survey statistics, ethics, types of surveys, data processing and management. DATA PROGRAMMING IN PYTHON (ODL) (10 credits) This course will introduce you to object-oriented programming and Python as a generic programming language and its use for data programming and analytics. You will learn to use Python libraries that are relevant to data analytics such as scikit-learn, NumPy/SciPy and pandas. UNCERTAINTY ASSESSMENT AND BAYESIAN COMPUTATION (ODL) (10 credits) Develops the foundations of modern Bayesian statistics and demonstrates how prior distributions are updated to posterior distributions in simple statistical models. You’ll be introduced to advanced stochastic simulation methods such as Markov-chain Monte Carlo. You’ll also find out how to fit Bayesian models using high-level software for Bayesian hierarchical modelling such as BUGS or STAN. INTRODUCTION TO SURVEY RESEARCH (10 credits) The course provides an introduction and overview of survey sampling and design, survey statistics, ethics, types of surveys, data processing and management. DATA MINING AND MACHINE LEARNING I: SUPERVISED AND UNSUPERVISED LEARNING (ODL) (10 credits) An introduction to machine learning methods and modern data-mining techniques, with an emphasis on practical issues and applications. You’ll be introduced to different methods for dimension reduction and clustering (unsupervised learning), a range of classification methods beyond those covered in the Predictive Modelling course. You’ll also learn about neural networks, deep learning, kernel methods and support vector machines. DATA MINING AND MACHINE LEARNING II: BIG DATA AND UNSTRUCTURED DATA (ODL) (10 credits) This course will provide you with a grounding in data mining and machine learning methods used in big data scenarios. You will also learn methods for analysing networks and unstructured data, as well as formal methods for social network analysis and quantitative text analysis. LARGE-SCALE COMPUTING FOR DATA ANALYTICS (ODL) (10 credits) The course introduces students to deep learning and convolutional neural networks and presents an overview over systems for large-scale computing and big data. DATA ANALYTICS PROJECT (ODL) (60 credits) (MSc only) At the end of the programme you will complete a project, giving you the opportunity to put the skills you have acquired throughout the programme into practice. During the project you will solve a real-world data analytics problem using state-of-the-art data science methods. CAREER PROSPECTS The programme equips you with key data and analytical skills required to master the challenges and make the most of the opportunities in today's technology-driven world. The programme is specifically designed for employees in the public sector and will help you accelerate your career and progress to senior roles in data science and analytics.
While the amount of data being produced is proliferating at a staggering rate, the skills to extract information and the value we receive from it are both relatively scarce. Analytics and data-driven decisioning is playing an increasingly important role in the economy, society and public administration. Designed together with the Office for National Statistics, our MSc in Online Data Analytics for Government is based on our successful online MSc programme in Data Analytics and will provide you with vital skills required to develop your modelling and data handling expertise. You will gain a firm grounding in the principles of learning from data sets, whilst at the same time getting hands-on experience handling, analysing and visualising data, helping your organisation to maximise the insights and value extracted from its data.
King’s Business School is the new hub in London for engaging with business, finance and government; where game-changing research informs a contemporary approach to business education, creating socially responsible leaders of the future. Learn from leading academics and active senior finance professionals who will give you the right knowledge and tools to effectively tackle business challenges and support your career aspirations. There will be a strong focus on practical skills, giving you the right knowledge and tools to effectively tackle challenges in the global finance and banking sectors, and support your career aspirations. Fit your studies around your work and life commitments without taking a career break, and start to grow the essential research, analytical and critical thinking skills that you will need to succeed in your future finance career. Why study with King’s Business School? King’s College London has been ranked top in London for business & management studies (The Complete University Guide 2019). The course aims to develop practical skills and maximise employability. Course modules are led by industry leaders to ensure that there are real world applications for all of your learning. King’s Business School provides a highly stimulating intellectual environment, where students access unparalleled academic excellence and study alongside international peers from over 50 countries. Achieve a Postgraduate Certificate in as little as 8 months, a Postgraduate Diploma in 16 months and an MSc in just 2 years. Become part of a large and active community of alumni worldwide. Benefits of online learning: Access world-class teaching and excellent student support, from anywhere in the world, without leaving home. King’s online courses offer the same rigour as on-campus courses. Six intakes per year for maximum flexibility. Small class sizes allow close instructor interaction and collaboration with other professionals from across the globe. The course information sheet is a printable version of the information on this web page, which you can download here.
The 100% online MSc in Global Finance & Banking from King’s Business School allows you to explore advanced financial and banking principles, such as investment analysis, analysis of financial statements, models of asset returns, optimal investment & risk and portfolio management.
Courses available Machine Learning: Practical Applications online certificate course Explore machine learning techniques to optimise your data analyses for informed business decision-making. 8 weeks | 7-10 hours per week Public Policy Analysis online certificate course Gain practical skills and analytical frameworks for analysing, evaluating, and communicating public policy. 10 weeks | 7-10 hours per week Automation: Implementation in Business online certificate course Learn how to deploy and manage key service automation technologies in your organisation, ethically and effectively, for enhanced productivity, profitability, and customer satisfaction. 6 weeks | 7-10 hours per week Real Estate Economics and Finance online certificate course Gain the theoretical knowledge and practical skills to make more informed real estate investment decisions. 8 weeks | 7-10 hours per week MBA Essentials online certificate course Gain holistic business and leadership skills to become a better manager, with this essential toolkit for the contemporary business environment 10 weeks | 8-12 hours per week Managerial Finance online certificate course Develop an understanding of the crucial frameworks and tools of modern corporate finance to make better managerial and investment decisions 6 weeks | 8-12 hours per week Business, International Relations and the Political Economy online certificate course Learn to maximise opportunities and mitigate risk stemming from global events with expert commentary and insights from LSE thought-leaders 8 weeks | 7-10 hours per week Negotiation Programme online certificate course Maximise your negotiation skills for business and career success in this six-week online course. 6 weeks | 7-10 hours per week Data Analysis for Management online certificate course Develop the skills you need to analyse, interpret and communicate data with confidence and impact within your organisation. 8 weeks | 7-10 hours per week Cryptocurrency and Disruption online certificate course Understand the theory and technology behind cryptocurrencies, how people invest in them and the future implications for business. 6 weeks | 7-10 hours per week How Online Courses Contribute to LSE's Mission LSE was founded to address real world issues - with the aim of understanding the causes of things for the betterment of society. Offering online certificate courses supports this vision, making LSE’s world-leading teaching and research accessible to a global audience. The interactive nature of the learning experience enables the School to reach the widest possible audience, and allows students worldwide to engage in the academic debate for which LSE is renowned. The Online Learning Experience Studying with LSE online, you’ll gain access to the insights and teaching of LSE subject experts and thought leaders, as you would on-campus, in addition to hearing from industry pioneers through video lectures. You’ll engage with real-world case studies and issues, and upon successful completion of your course you’ll walk away with a certificate from LSE - validation of the knowledge and skills you’ve gained. Presented in Collaboration with GetSmarter To present these online certificate courses, LSE is collaborating with online education leaders, GetSmarter. GetSmarter’s people-based, interactive and supportive learning model has resulted in unprecedented course completion rates, as well as measurable career improvements for many past students. Studying with LSE and GetSmarter, you’ll have a dedicated Success Manager and access to technical and academic support around the clock. This personalised and intimate approach allows you to study from anywhere in the world, at the time of your convenience, and still interact with your peers. Further Information and How to Apply For more information on these online certificate courses, visit the course pages below, or contact lseonline@getsmarter.com.
The London School of Economics and Political Science is now offering short, certificate courses, available online from anywhere in the world. These courses allow working professionals to enhance their skills online and in their own time, using a highly supportive and interactive learning platform.
London School of Economics & Political Science (LSE)
Applied Statistical Modelling & Health Informatics MSc, PGCert, PGDip
You will receive world-class training in core statistical, machine learning and computational methodology, and you will have the opportunity to apply your skills to real-life settings facilitated by the world-leading Institute of Psychiatry, Psychology & Neuroscience. The course will apply to a broad spectrum of graduates preparing for a career in medical statistics and health informatics, or professional methodologists and clinical researchers working in the private or public health sector. This course is also suitable if you are a graduate in/work in the fields of computer science, maths, physics, engineering and natural science, including psychology and medicine. Key benefits Specialist careers for those interested in applied statistical modelling and health informatics within a modern information and knowledge-based medical research setting. Valuable insight from those working at the cutting edge of these fields. A unique flexibly-structured programme ideal for researchers in industry and academia hoping to obtain methodological skills to boost their research excellence and employability. Develop your skills in multimodal and big data analysis techniques. Learn how omics, electronic health records, social media, wearables and smartphone data are used to benefit the patient. Apply your skills to real-life health settings facilitated by the world-leading Institute of Psychiatry, Psychology & Neuroscience. Access the IoPPN’s statistical and health informatics research groups and benefit from our links with industry and the NHS. Benefit from outstanding career, networking and mentoring opportunities.
This course has been created to deliver a skill set and knowledge base in “multimodal” and “big data” analysis techniques, which are a recognised scarcity within UK Life sciences.
Global Finance & Banking MSc, PG Dip, PG Cert
King’s Business School is the new hub in London for engaging with business, finance and government; where game-changing research informs a contemporary approach to business education, creating socially responsible leaders of the future. Learn from leading academics and active senior finance professionals who will give you the right knowledge and tools to effectively tackle business challenges and support your career aspirations. There will be a strong focus on practical skills, giving you the right knowledge and tools to effectively tackle challenges in the global finance and banking sectors, and support your career aspirations. Fit your studies around your work and life commitments without taking a career break, and start to grow the essential research, analytical and critical thinking skills that you will need to succeed in your future finance career. Why study with King’s Business School? King’s College London has been ranked top in London for business & management studies (The Complete University Guide 2019). The course aims to develop practical skills and maximise employability. Course modules are led by industry leaders to ensure that there are real world applications for all of your learning. King’s Business School provides a highly stimulating intellectual environment, where students access unparalleled academic excellence and study alongside international peers from over 50 countries. Achieve a Postgraduate Certificate in as little as 8 months, a Postgraduate Diploma in 16 months and an MSc in just 2 years. Become part of a large and active community of alumni worldwide. Benefits of online learning: Access world-class teaching and excellent student support, from anywhere in the world, without leaving home. King’s online courses offer the same rigour as on-campus courses. Six intakes per year for maximum flexibility. Small class sizes allow close instructor interaction and collaboration with other professionals from across the globe.
The 100% online MSc, PG Dip & PG Cert in Global Finance & Banking from King’s Business School allows you to explore advanced financial and banking principles, such as investment analysis, analysis of financial statements, models of asset returns, optimal investment & risk and portfolio management.
Economic thought has developed over time in a historical context. It can be argued that Economics has always been a philosophy rather than a Science. This is clearly evident from Greek, Chinese and Indian Economic thought. However, in the latter part of the 19th century Mathematics became the dominating force in Economics. This pivotal transformation of a philosophy into a mathematical subject, with the birth of neo-classical economics, had profound consequences for the analysis of the actions and inter-actions of human beings, and for policy debates about the role of the state in regulating national and international markets. Neoclassical economics has emphasised the rational behaviour of self-interested individuals and largely ignored the fact that humans are in essence part of nature, which the philosopher economists of Ancient Greece recognised. In recent years, aspects of economic thought have begun to make use of the insights of biological sciences. For information on how the courses work, and a link to our course demonstration site, please click here. Certification To earn credit (CATS points) for your course you will need to register and pay an additional £10 fee for each course you enrol on. You can do this by ticking the relevant box at the bottom of the enrolment form or when enrolling online. If you do not register when you enrol, you have up until the course start date to register and pay the £10 fee. For more information on CATS point please click on the link below: http://www.conted.ox.ac.uk/studentsupport/faq/cats.php Coursework is an integral part of all online courses and everyone enrolled will be expected to do coursework, but only those who have registered for credit will be awarded CATS points for completing work at the required standard. If you are enrolled on the Certificate of Higher Education you need to indicate this on the enrolment form but there is no additional registration fee. Assignments are not graded but are marked either pass or fail. All students who successfully complete this course, whether registered for credit or not, are eligible for a Certificate of Completion. Completion consists of submitting both course assignments and actively participating in the course forums. Certificates will be available, online, for those who qualify after the course finishes
This course evaluates the development of economic thought through the eyes of Greek, Chinese, Indian and European traditions before exploring economic thought in the context of the 20th century. The course is historical in content and international in perspective allowing students to develop a critical understanding of the influence of evolving economic thought on contemporary global economics.