Institution: Leibniz Institute for East and Southeast European Studies (IOS) Regensburg Application deadline: September 30, 2024 Call for Applications 2025 Visiting Scholars Program of the Leibniz Institute for East and Southeast European Studies (IOS) Regensburg, Germany The Leibniz Institute for East and Southeast European Studies (IOS, https://www.leibniz-ios.de) in Regensburg is one of the largest and longest-established institutions of its kind in Germany with a distinctly international orientation. It is an independent research facility with close links to the University of Regensburg. IOS conducts interdisciplinary research on the history as well as the economic and political development of Eastern and Southeastern Europe. The IOS carries out research in two major research fields (https://leibniz-ios.de/en/research/ios-research/research-agenda): Institutionalization, De-Institutionalization, Re-Institutionalization Mobility(s) and Inequality(s) Together with the University of Regensburg, the IOS has established the Leibniz-ScienceCampus “Europe and America in the Modern World. Frictions and Transformations of Globality since the 19th Century.” The IOS maintains a special library holding a stock of more than 340,000 media units of literature in humanities and social sciences relating to the countries of Eastern and Southeastern Europe. Within the framework of its Visiting Research Fellow Program, the IOS encourages applications from historians, economists and political scientists as well as scholars of cognate disciplines. The fellows are expected to conduct research relevant to the research profile of the institute. One fellowship will be awarded in connection with the Volkswagen-Foundation funded grant to strengthen Southeast European Studies in Regensburg. The duration of the research stay usually lasts between two and four weeks. The allowance is determined by the length of the research stay and the applicant’s professional experience. Together with the University of Regensburg, the institute provides an attractive research environment in a city known for its high quality of life. Regensburg has one of Germany’s largest preserved medieval cities holding the status of a UNESCO World Heritage Site. We now invite applications for our 2025 Visiting Researcher Program. Please submit your application online until September 30, 2024, via the IOS application portal at https://leibniz-ios.de/en/institute/about-the-institute/fellowships. The application documents should include the following (all in PDF format): a short research proposal in German or English (maximum three pages) a detailed academic Curriculum Vitae naming two references copies of no more than three academic articles (published or unpublished) preferences concerning length and desired period of your stay (usually between February and November). You will be notified of the outcome of your application until November 5, 2024. Please note: All applications will be deleted after six months. For further information, please contact the heads of the IOS research departments: for economics, Prof. Dr. Arevik Gnutzmann-Mkrtchyan (gnutzmann@ios-regensburg.de),for history, Prof. Dr. Guido Hausmann (hausmann@ios-regensburg.de); for political science, Dr. Cindy Wittke (wittke@ios-regensburg.de); or the Academic Director, Prof. Dr. Ulf Brunnbauer (brunnbauer@ios-regensburg.de).
Within the framework of its Visiting Research Fellow Program, the IOS encourages applications from historians, economists and political scientists as well as scholars of cognate disciplines. The fellows are expected to conduct research relevant to the research profile of the institute. One fellowship will be awarded in connection with the Volkswagen-Foundation funded grant to strengthen Southeast European Studies in Regensburg.
Leibniz Institute for East and Southeast European Studies (IOS)
Economic Development, Innovation and Growth (JEL O)
This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. There are 4 modules in this course Fundamentals of Data Manipulation with Python Basic Data Processing with Pandas More Data Processing with Pandas Answering Questions with Messy Data This course is part of the <a class="cds-119 cds-113 cds-115 css-7jm8m6 cds-142" href="https://imp.i384100.net/KjnKbv" data-click-key="unified_description_page.consumer_course_page.click.career_outcomes_program_link" data-click-value="{"href":"/specializations/data-science-python","namespace":{"action":"click","app":"unified_description_page","component":"career_outcomes_program_link","page":"consumer_course_page"},"schema_type":"FRONTEND"}" data-track="true" data-track-app="unified_description_page" data-track-page="consumer_course_page" data-track-action="click" data-track-component="career_outcomes_program_link" data-track-href="/specializations/data-science-python" to="/specializations/data-science-python">Applied Data Science with Python Specialization This Introduction to Data Science in Python course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python. When you enroll in this course, you'll also be enrolled in this Specialization. Learn new concepts from industry experts Gain a foundational understanding of a subject or tool Develop job-relevant skills with hands-on projects Earn a shareable career certificate
What you'll learn Understand techniques such as lambdas and manipulating csv files Describe common Python functionality and features used for data science Query DataFrame structures for cleaning and processing Explain distributions, sampling, and t-tests
PhD Research Opportunity - The Economics of Preventing Future Health Inequalities
The research opportunity This PhD research opportunity will focus on evaluating the impact of preventative health policies on current and future health inequalities. Preventative health interventions can affect health inequality because baseline risks, and intervention uptake, effects and adherence vary across groups. In the context of this PhD research opportunity, interventions of interest include, but are not limited to: screening programs, vaccination, life-style interventions, and preventative medication. Analysis will utilise best practice in health inequalities measurement, modern econometric techniques, behavioural experiments, and modelling. This research opportunity will produce policy-relevant, causal estimates of the effects of health preventative interventions on health inequalities. Depending on the student’s interest, potential projects may include: the evaluation of an existing health prevention program, the development of a measurement tool for health inequalities, behavioural experiments to assess how preventative interventions can improve uptake and adherence, and the modelling of future health inequalities by building tools for distributional cost effectiveness analysis. Ideal candidate This PhD research opportunity would suit someone with a strong quantitative background (e.g. econometrics, statistics), and an interest in applying their skills to research at the intersection of inequalities, health and policy evaluation. Training, travel and supervision The successful candidate will work under the supervision of Prof Dennis Petrie, Monash University and Dr Gawain Heckley (Lund University, Sweden). They will be based at the Centre for Health Economics, Monash University and work jointly with researchers based at Lund University, Sweden. There will be opportunities for domestic and international conference travel and for research visits to Lund University and other international partner institutions (financial support available). As part of the CHE PhD program, the candidate will undergo rigorous training in advanced health economics and related studies. PhD entry requirements and scholarship eligibility Applicants should have: a 4-year bachelor degree, honours degree or 2-year master's degree (with research component) in economics, econometrics, statistics or a related quantitative discipline, demonstrated research experience, and strong academic results. Apply for a scholarship First, please submit an Expression of Interest (EOI). If successful, you will be invited to submit a full application. Important: Please make sure you select “Health Economics” as your area of interest in the online EOI form otherwise we will not receive your EOI. EOI closing dates: International Students: 24 July 2024 Domestic Students (Australian and New Zealand citizens, and permanent residents of Australia): 23 September 2024 You will be asked to include the following information (after the data privacy page): Your CV, including details of two referees A copy of your academic transcripts and details of grading scales Evidence of English language proficiency according to these guidelines A 1-2 page cover letter outlining your research skills, experience, research topics of interest and why this specific PhD opportunity interests you. About Monash University and the Centre for Health Economics, Australia The Centre for Health Economics is one of the world’s leading research groups in the economic analysis of health and health care. We have the highest concentration of economists working in health in the Asia-Pacific region and the largest Health Economics PhD program in Australia, reflecting the reputation of our researchers and the quality of their mentorship. Monash is one of the top 50 universities in the world, ranked top in health economics in the Asia-Pacific region. As a PhD student of the Centre, you will be part of a team of researchers at the cutting edge of impactful international research across research themes including: disadvantage and health; global and environmental health economics; economic behaviour, incentives and preferences in health; and, economic modelling of health policies and technologies. About Lund University, Sweden The current research opportunity is part of a collaboration between the Centre for Health Economics, Monash University and Lund University, Sweden. Health economics at Lund University is ranked foremost in Scandinavia and ninth in Europe within its field. Health economic research is conducted at the Lund University School of Economics and Management and at the Department of Clinical Sciences, Malmö, Faculty of Medicine. The health economics research group working from the Faculty of Medicine primarily focuses on five research areas: 1) Public health issues; 2) Incentives and organization within healthcare; 3) Design of healthcare systems in terms of efficiency and distribution; 4) Economic evaluations of health interventions and programs; 5) Socioeconomic inequality in health and welfare. Employment prospects PhD graduates from the Centre for Health Economics typically find employment as researchers in leading universities and consulting firms around the world. Our previous graduates have been successful in gaining positions at the London School of Economics, the University of Cambridge, the University of Oxford, the University of York, the University of Melbourne, Ernst & Young, the World Bank and government health departments. Enquiries: dennis.petrie@monash.edu Supporting a diverse workforce Monash University recognises that its Australian campuses are located on the unceded lands of the people of the Kulin nations, and pays its respects to their elders, past and present.
The Economics of Preventing Future Health Inequalities 2025 PhD Program. Project-specific PhD opportunity in the Centre for Health Economics, Monash Business School. Location: Caulfield campus, Monash University, Australia Duration: 3.5-year fixed-term appointment Employment type: Full-time Remuneration: You will receive a generous scholarship covering all tuition fees and a tax-free stipend at current value of up to AU$50,291 per annum. Start date: February 2025 Additional financial support is available through research and teaching assistance work.
Public Economics & Economic Policy (JEL H)
Macroeconomics and Monetary Economics (JEL E)
Notice of Intent to Publish a Funding Opportunity Announcement for Limited Competition: NCI National Clinical Trials Network - Network Group Statistics and Data Management Centers (U10 Clinical Trial Required)
Notice NOT-CA-24-084 from the NIH Guide for Grants and Contracts
Applied Economics (Banking and Financial Markets) online MSc
The University of Bath’s Applied Economics course cuts through abstract to focus on how economics works in the real world. You’ll learn from big names in the field and receive cutting-edge software training that enables you to mine and analyse complex data. Through interactive exercises and case studies, you will learn how organisations address economic issues, financial crisis and other pressing challenges. Ranked 2nd in Accounting and Finance by The Complete University Guide 2024. Ranked 4th* best university in the UK by the Times and Sunday Times 2023. Gain an edge in the global job market The online MSc Applied Economics course is designed to equip you with the technical mathematics, data analysis and econometrics skills needed to recognise business opportunities and address pressing issues. Seek this degree to prepare for many in-demand roles, including financial or risk analyst, investment banker, applied economist, or portfolio manager. This course provides high levels of student interaction, which lets you network with aspiring economic professionals. Many of our students have experience with leading UK and international firms, such as Airbnb, Bosch, Deloitte, JP Morgan Chase & Co., and Royal Bank of Scotland. ” The best part of the program is that it does not feel like a virtual program. I enjoy the discussion forum where I can learn and share knowledge about any subject matter with brilliant minds from all over the world. The course incorporates technology in research and analytics, which has shaped my trading strategies and skills immensely.” Emmanuel Nkrumah, Applied Economics online MSc student What you will learn Analyse, interpret and critically evaluate economic data and research Apply principles to respond to economic and policy issues Design and implement your own research projects Use microeconomics and macroeconomics to guide strategic decision making Develop the necessary mathematical, statistical and econometrics skills Acquire research skills to support future commercial or doctoral research Curriculum details Principles of Economics, Maths and Statistics (10 credits) Applied microeconomics A (10 credits) Applied microeconomics B (10 credits) Applied macroeconomics A (10 credits) Applied macroeconomics B (10 credits) Applied econometrics A (10 credits) Applied econometrics B (10 credits) Strategic decision making and games A (10 credits) Strategic decision making and games B (10 credits) Economics of financial institutions (10 credits) International monetary policy and institutions (10 credits) Financial markets (10 credits) Applied financial economics (10 credits) Applied research methods (10 credits) Master’s project (40 credits) For more information visit https://info.online.bath.ac.uk Study details MSc 2 years and 6 months online Intake dates: January, May and September Entry requirements Typically you should have a first or second class bachelor’s honours degree or international equivalent. We welcome applications from those with a 2:2 honours degree (or its international equivalent) in subjects with a high level of economics content. To apply for this course, you must have an undergraduate degree in a social science or business-related discipline such as business administration, finance, accounting, international trade, banking, financial management, public finance or politics. We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree. If your first language is not English you will need IELTS with a grade of at least 6.5 overall and no less than 6.0 in any of the four parts (listening, reading, writing and speaking). If you completed your degree in the UK within the last 2 years prior to the start of the course, you may be exempt from our English language requirements. Fees Cost per 10 credits £722* (10% alumni discount). Fees are paid per unit. The MSc totals 180 credits. * Valid up to and including September 2024 intake. Tuition fees are liable to increase each January. You should budget for an increase of up to a maximum of 5% each year. * Rankings based on undergraduate data.
Put economic insights into action - Businesses, research institutions and government agencies rely on professionals who can extract insights from financial data and make strategic decisions in a global economy. By studying the online MSc Applied Economics with the University of Bath, you will engage in comprehensive study of economic theory and gain practical skills to support efforts to sustain economic growth and improve lives.
Urban, Rural and Transportation Economics (JEL R)
Econometrics, Statistics and Quantitative Methods (JEL C)
Agricultural and Environmental Economics (JEL Q)
Master's degree in Economics-QEM curriculum
For this programme, we welcome applications from students with a strong quantitative background and with a commitment to undertake the demanding training that is necessary to make them ideal candidates for public and private research centers, consulting firms, international organizations, central banks and any other institutions where a well trained economist is needed. The program is also a natural step towards the access to the best Ph.D. programs worldwide and therefore excellent opportunities in the academic sector. The programme has a well-established placement record thanks to its rigorous training, wide network, and a dedicated faculty of professors that has been trained in the best Ph.D. programs in Europe and the US. The Economics-QEM curriculum is part of a the Erasmus Mundus Joint Master Degree (EMJMD) QEM programme organized with Université Paris 1-Panthéon-Sorbonne (Paris, France), Universitat Autònoma de Barcelona (Barcelona, Spain), Université Catholique de Louvain (Louvain-la-Neuve, Belgium) and Warsaw School of Economics (Warsaw, Poland). Prospective students who enter the Economics-QEM curriculum at Ca’ Foscari University of Venice have the opportunity to obtain the degree jointly awarded by all partner universities conditional on fulfilling some academic requirements at the end of the first term, and paying additional consortium fees. Ca’ Foscari University is located in the historical city of Venice and offers a vibrant and international environment. For more information about the Master’s degree programme Economics-QEM curriculum check the website: https://www.unive.it/data/en/6237/economics-qem-em15-22-24 For the details/timing of the application procedure, please visit the “Admission” section of page https://www.unive.it/pag/43587 If you hold an international qualification, before starting the application process please make sure you have completed the pre-evaluation procedure and that you have all the requirements for international students. Complete info on Entry requirements for applicants holding an international qualification Info in the degree-seeking page. For any inquiry about the programme you can reach us: qem-venice@unive.it
The Master's degree programme Economics-QEM curriculum at Ca’ Foscari University is the more research oriented track of the Ca' Foscari Master’s in Economics, Finance and Sustainability. It provides rigorous training in fundamental quantitative tools by combining core economic theory with related quantitative disciplines.
Ca' Foscari University of Venice - Department of Economics
PhD in Methods and Models for Economic Decisions
The PhD program lasts three years and all its activities are in English. Each post is endowed with a scholarship of about € 16,243 gross per year. Each student is endowed with an additional budget of about € 1,624 per year for research activities.The PhD program is hosted by Department of Economics of the University of Insubria (located in Varese, Italy), which has been granted the Departments of Excellence award and funding plan for the period 2023 – 2027 by the ANVUR (Italian National Agency for the Evaluation of Universities and Research Institutes), ranking 8th among the Italian departments of economics and statistics. Topic and goals A significant part of economic analysis focuses on decision-making processes. Consumers and producers, workers and firms, banks and managers, households and policy makers continuously make decisions which are economically relevant. Economists are interested in understanding, predicting or modifying the processes underlying these decisions. The analysis of human decisions relies on methods and models that differ significantly across various fields of economic research. For instance, classical decision theory is largely based on mathematical models, while more recent research in behavioral decision theory often relies on experimental methods. Econometric tools are used to investigate the determinants of specific decisions, such as those concerning labor, transports, health or charity. Computational methods are used to simulate how economic agents interact, and to investigate the economic effects of their interactions. The PhD program in Methods and Models for Economic Decisions trains young researchers to master the variety of theoretical and applied approaches that are used in economics for analyzing decision-making processes. Faculty The PhD Board includes faculty members of Insubria University as well as faculty members of other Italian and foreign universities. See the PhD webpage for the complete faculty list. Organization In the first year of the program, students attend compulsory courses to acquire a broad set of research skills(from theory to data analysis), that allow them to tackle the complex phenomena related to decision making. During the second and third year of the program, students focus on their own research under the supervision of one or more faculty members and participate in seminars and reading groups in their field of interest. See the training activities webpage for the complete list of courses. The program strongly encourages students to spend part of their PhD period abroad and supports them in gaining international experience. The central goal of the program is to create independent researchers, who can then pursue an academic career in leading universities or obtain research positions in private firms or international organizations. At the end of the third-year students submit their PhD dissertation, which is usually made of three research papers. The PhD courses in the next academic year will start in November 2024. Admission requirements The selection procedure is open to candidates who hold a Master’s Degree (Laurea Magistrale) or a 4-year Degree previous to the Ministerial Decree no. 509/1999 (Laurea quadriennale vecchio ordinamento), or equivalent academic title (Master’s Degree) obtained abroad, without age or citizenship restrictions. Graduands may conditionally access the selection procedure, provided that they obtain the required admission qualification by 31 October 2024, under penalty of exclusion in case of positive outcome of the selection procedure. Full details for applying to the academic year 2024-25 (Cycle 40) with enrollment procedures can be found here in Italian and in English. Here are the links to the full call for applications: 6 “ordinary” scholarships: in Italian and in English 2 “additional” scholarship (DM 630 - PNRR): in Italian and in English Deadline for applications: July 11, 2024 Visit Website
Department of Economics, University of Insubria University of Insubria opens the call for applications to the 40th cycle of PhD program in METHODS AND MODELS FOR ECONOMIC DECISIONS. For the academic year 2024-2025 there are 8 posts available: 6 “ordinary” scholarships plus 2 “additional” scholarships (DM 630 - PNRR) on two specific research projects co-financed by firms (see below the link to the call for more details).
Department of Economics, University of Insubria
Studying in the Department of Economics within the School of Law and Social Sciences at Royal Holloway means that you will learn from internationally renowned experts at one of the UK’s top ten teaching and research Economics departments. Our balanced approach to research and teaching guarantees high quality teaching from subject leaders, cutting edge materials and intellectually challenging debates. You will have close contact with the academic staff teaching on the course and you will receive individual support from the course director whilst being able to tailor your degree to your interests. On graduation you’ll be prepared to work for international organisations, government, NGOs, consultancies and think-tanks. Excellent career prospects with economics graduates having an impressive employment record and starting salaries amongst the highest in the country Be part of a relatively small cohort enabling you to receive individual support from the course director and other academic staff Royal Holloway, University of London is a Top 30 University in the UK (Times and Sunday Times Good University Guide, 2024) Core modules: Economics of Health Empirical Methods for Health Economics Foundations of Microeconomics Mathematical Methods Dissertation in Economics Optional modules: A number of optional modules are available during your degree studies. The following is a selection of modules that are likely to be available. Changes will be kept to a minimum but new modules may be offered or existing modules may be withdrawn, for example, in response to a change in staff. Inequality, Development and Health Behavioural Health Economics Long-term Trends in Health and Health Policy Time-series Econometrics Optional module from our Department of Health Studies
How effective are health policies implemented around the world? What role does economic and population growth play in the sustainable development goals? How does climate change affect the distribution of health and well-being? These are some of the modern-day challenges you will study on the MSc Global Health: Economics and Policy. Studying this course, you’ll learn to analyse existing and emerging health and economics challenges of the 21st century, such as pandemics, economics growth, demographic changes, climate changes and the environment. You’ll receive training in modern health economics from a global perspective, covering topics such as inequality, development, environment and public health-care delivery.
PhD Program in Economics in English language at the University of Economics in Bratislava
Read all information about admission process, online application, recognition of diplomas, required documents on the website of EUBA directly: https://nhf.euba.sk/en/studium/doctoral-studies The deadline for application: June 13, 2024 – 23:59 (Europe/Bratislava) The admission exam: June 28, 2024 (interview on-site or online). Please apply for one of the topics for your dissertation thesis: 1. The Impact of AI on wealth distribution 2. Inequality of Opportunities and Human Capital Accumulation in Slovakia 3. The creation of shared values and the social value chain in the context of the sustainable development concept 4. Convergence or divergence of wage levels in the economies and regions of Central and Eastern Europe: what role does labor productivity play? 5. The silver economy as an economic opportunity arising from the aging of the population 6. Academic cooperation and scientific productivity of European cities 7. Slovak „Lef-Behind Places“: Impact of deprivation of public services on election results 8. Evaluation of the Effectiveness of Active Labor Market Policies for the Integration of Disadvantaged a Marginalized Populations 9. The Impact of Rising Living Costs on the Pervasiveness of Undeclared Work 10. The role of Public policies in Innovation activities of the universities 11. Development trajectories of regional innovation systems - case study of the South Moravian and Bratislava regions 12. Digital transformation of public administration in Slovakia 13. Joint exercise of competences by local self-government in Slovakia - Driving forces and barriers to success 14. Integration of Immigrants into the Slovak Labour Market 15. Impact of Digitalization on Firm Performance: Insights from Slovak Enterprises in the Industry Sector 16. Labour Migration in Slovakia: Exploring its Dynamics within the Framework of Labour Market Evolution 17. The role of foreign direct investment in digital transformation 18. The Economic importance of financial literacy in 21. century and its consequences: Theory, Evidence and Practice 19. Economic theory & policy responses to the changes in the macroeconomic environment 20. Building Public Trust and Engagement in E-Government Services through Behavioral Economics (A Comparative Analysis of selected Central European and South-East Asian countries) 21. Economic costs of children's disadvantaged environment 22. Technology, Inequality, and Productivity: Shaping the Future of Work 23. Research Essays on Appropriate Technologies and Economic Development 24. Bidding Behavior in Digital Asset Auctions: Exploring the Impact of Personality Traits and Behavioral Characteristics on Strategies, Outcomes, and Market Dynamics 25. The Efficiency of Value Investing Under Different Market Conditions 26. The cascading effect in cryptocurrency markets 27. Peer effect and insurance demand 28. Framing effect and financial decisions We are looking forward to your application submitted by June 13, 2024. More information about the University of Economics in Bratislava: https://euba.sk/en/ https://euba.sk/en/activities/virtual-tours https://www.youtube.com/watch?v=KggjZRaC8cM
We are pleased to announce the 2024 call for applications for the PhD Program in Economics in English language at the University of Economics in Bratislava (EUBA), the Faculty of Economics and Finance. The program is full-time only. Doctoral students receive a monthly scholarship of 1025,50 EUR in the first half of study and 1 194 EUR in the second half of study and does not pay tuition fees for the standard length of study.
MSc/PhD in Quantitative Economics - University of Alicante
MASTER PROGRAM The Master is a two-year academic program. Year one focuses on core courses in Mathematics, Statistics, Microeconomics, Macroeconomics, and Econometrics. In Year Two, students take nine elective courses, in which students explore topics in the frontier of research, such as: • Behavioral Economics • Experimental Economics • Macroeconometrics • Advanced Econometrics and Big Data • Labor Economics • Development Economics By the end of the second year, students complete their Master’s thesis under the direction of a faculty supervisor. In the thesis, students put to use the knowledge they have acquired throughout the Master, in order to demonstrate in-depth knowledge of the literature in the research area they have chosen to work in, along with the ability to make a novel research contribution. OUR STRENGTHS<o:p></o:p> Our faculty has been trained in prestigious international and national universities. <o:p></o:p> A small student-to-faculty ratio, implying that our students receive dedicated attention and support from our faculty.<o:p></o:p> Expertise in a wide range of research topics: behavioral economics, macroeconomics, financial economics, applied economics (in labor, health, education and development), and data science, among others.<o:p></o:p> The possibility of combining a rigorous and thorough training with a Mediterranean lifestyle.<o:p></o:p> PhD PROGRAM<o:p></o:p> Those students wishing to continue onto the PhD program will start working on their doctoral thesis in year three under the supervision of faculty members. PhD students will benefit from a dynamic research environment including weekly departmental seminars by leading international scholars and will also have the opportunity to present their own work at regular workshops.<o:p></o:p> FINANCIAL SUPPORT <o:p></o:p> During the first year, the Department awards scholarships ranging from 8,000 to 10,000 euros to the best students admitted to the program. From the second year on, the financial support is linked to Teaching or Research Assistantships on a competitive basis and -depending on the duties- the amount provided by these fellowships ranges from 8,000 to 22,000 euros per year.<o:p></o:p> PhD PLACEMENT<o:p></o:p> The Department strongly encourages our PhD students to participate in the international job market. In particular, our Placement Office provides financial and logistic support in order to facilitate the job searches of our PhD candidates. By participating in our Placement Workshop, candidates are able to prepare for all of the important aspects of the job market process. These include communication skills, mock interviews and seminars, how to select places to target, how to fill out applications, etc. Further, the Department provides additional financial support in order to enable our PhD candidates to participate in the international Job Market Meetings that are conducted annually in Europe and the United States.<o:p></o:p> Visit our alumni section on our web page to see placements of our former students.<o:p></o:p>
The Graduate Program in Economics is a full-time American-style program that is taught entirely in English. The program provides students with thorough theoretical and empirical training in Economics and Data Analysis. In addition, the program offers advanced optional courses in the second year. The aim of the program is to prepare students for professional careers in academia, public and private research institutions, and the corporate sector.
Financial support for best students, teaching or research assistantships. More information on University's website.
Call for Applications for the PhD in Economics - 2024/2025
Note. The Call is published in Italian and in English. At the moment the English version is still being edited but it should be available very soon. For the moment you can find the English version here. The duration of the program is four years. In the first year, students receive a rigorous training in Microeconomics, Macroeconomics and Econometrics. By the end of the year, students select a research topic and prepare a survey paper of the research field. Admission to the second year is conditional on exam performance as well as on presentation of a satisfactory research project. During the second and third year, students work on their dissertation under the close supervision of a Faculty member and attend bespoke courses on various research topics. Visiting periods abroad, and participation to summer schools is encouraged, and it usually takes place at this point. The fourth year is dedicated to research and completion of the thesis, that will be discussed at the end of the year. Students have the opportunity to spend a Visiting Period abroad to carry out their research at a foreign university or research institution. The period spent abroad follows second-year courses and is usually between six and twelve months. The aim of the visiting period abroad is to advance the PhD project by taking advantage of the expertise available in the hosting institution, while promoting the integration of students in an international research network. Students are also encouraged to attend Summer Schools in topics of their choice, and to present their research in workshops and conferences. Research is the main focus of our PhD program. The project must be integrated in the research areas of the Faculty. Active involvement in research is promoted partly through the interaction with the supervisors and their research networks, partly through the student's active participation in seminars, workshops and conferences at the Departments of Economics of the Universities of Milan and Pavia. Students are expected to present the results of their research in Department seminars and/or in research student workshops. The PhD degree is jointly awarded by the University of Milan and the University of Pavia after completion and defence of an original thesis which must provide a significant contribution to the development of knowledge in Economics. Admission requirements Candidates holding a second cycle degree (Laurea magistrale), an equivalent qualification, or a qualification equivalent to the level of studies (Master’s Degree) awarded by a foreign university, may apply to take part in the competition for admission to the doctoral research programme, as per the article above. The suitability of the foreign academic qualification in terms of content is evaluated by the Examining Committee set up for admission to the doctoral programme, in compliance with the regulations in force in Italy and in the country in which the academic qualification was issued, and with the international treaties or agreements on the recognition of qualifications for the purpose of continuing studies. Those without a second-cycle degree may also apply. Candidates without a Master's degree admitted to the PhD programme must obtain the required qualification by 1 October 2024. Application for admission Applications for admission must be submitted by no later than 2 pm of 27 June 2024, following the procedures described below: 1. Register online on the University portal This operation is not required of those already registered on the portal or in possession of University login credentials (final year students or those who graduated from the University of Milan less than a year ago); 2. Login and submit an application for admission to the Doctoral programme by accessing Admission services - Servizio di ammissione dottorati di ricerca 3. Pay the non-refundable fee of €50 covering selection costs, within the deadline for admissions. The following documents (no larger than 10 MB) must be uploaded (as pdf .rtf or .jpg files) to complete the online admissions procedure: Diploma Supplement or Bachelor's/Master's diploma (or equivalent qualification obtained in Italy or abroad), with transcript of records. Upcoming graduates are required to submit a certificate of enrolment in lieu of the diploma. The documents must be in Italian, English,French, German or Spanish. This document is not required of graduates/upcoming graduates of the University of Milan since it will be acquired internally; CV describing any professional experience and other qualifications held by the applicant; Research project (using Form 1 attached here to); Copy of passport (foreign applicants only); List of publications (if any); Annex A. Non-EU candidates residing abroad are also required to submit an online application for pre-enrolment through Universitaly, in order to obtain a student visa. The online application cannot be modified or supplemented with further documentation once it has been confirmed. Self-certification is accepted in the cases provided for and pursuant to current legislation. Please note that the failure to provide even just one of the documents (from A to C) above, will result in the candidate being excluded from the competition. Qualifications and scientific publications may be submitted in either Italian or English. In addition to the above listed documentation, at the request of the Teaching Committee, as specified in the table, applicants must ask qualified referees who have been involved in their training to provide one letter of reference drafted according to Form 2 attached hereto, which the referees must email directly (as a .pdf file) to the address indicated in the doctoral programme description by the competition deadline. The reference letters will be looked at in conjunction with the candidate’s CV but will not be awarded any points. Admission procedure Admission to the doctoral programme is through a public selection procedure that involves: assessment of the CV (up to 20 points) and of the research project (up to 10 point), possibly based on his/her second cycle degree dissertation online interview (up to 70 points). The research project, which must be described according to a standard format (Form 1 attached here to), is relevant for the sole purposes of selection and does not constitute any obligation regarding the subsequent choice of doctoral thesis in the event that the candidate is admitted. The candidate’s CV and research project will be evaluated prior to the interview, and candidates will be able to see the result of the evaluation on the University portal. Candidates who have obtained at least 10 points in the curriculum and at least 5 points in the research project are admitted to the interview. The doctoral programme admission exam is passed if the candidate obtains the minimum score of at least 70/100. Admission to doctoral programme Applicants are admitted to the programme in accordance with the ranking order until the number of places available has been filled. The rankings of eligible applicants will be published online, on the days following the interviews, on the University website. For any information, the PhD Coordinator is available to meet the candidates on Monday 3 June 2024 at 10 am here.
The Call for Applications for the PhD Programme in Economics (a.y. 2024/2025) is now out. Four scholarships are available. Please find the page with the call at THIS LINK The deadline is 27 June 2024. The Department of Economics, Management and Quantitative Methods of the University of Milan and the Department of Economics and Management of the University of Pavia won for the second time the Department of Excellence award, a public award for the 350 best Departments of the public Universities in Italy. Studying in our Departments means working with experts with established international reputation in a team of leading scientific and educational institutions.
MSC DATA SCIENCE, AI, AND DIGITAL BUSINESS
Programme details - Gives you in-depth expertise about technological concepts like AI, machine learning, Big Data analytics, and virtual team - Suitable for undergraduate students who are interested in a successful career in engineering, data science, or other relevant tech fields. - Allows you to learn comprehensive aspects of machine learning, data science, digital business and innovation management. - Opens up career opportunities across multiple industries like data analytics, AI, business intelligence, and digital consulting. - Helps you gain additional skills in Big Data, cybersecurity, and cloud computing through technical know-how provided by Amazon. - A flexible learning format, as well as virtual access to the Gisma Campus at Potsdam, allows you to study online. - Provides in-depth knowledge about digital transformation efforts like innovation management, technology, and data control organisation. Accreditations and rankings The degree programme has been awarded the quality seal of the Accreditation Council Foundation. It was first assessed by FIBAA in a multi-stage accreditation procedure and then successfully accredited by the Accreditation Council Foundation. The Accreditation Council Foundation is a joint institution of the federal states of Germany for quality assurance in study and teaching at German universities. The quality seal of the Accreditation Council Foundation certifies, among other things, compliance with academic standards and formal requirements. Gisma University of Applied Sciences is state recognised. It also benefits from AMBA accreditation, which was awarded for the Global MBA and is an honour shared by only 6 universities in Germany and 2% of all universities worldwide. The prestigious AMBA accreditation represents innovation and excellence in education. Programme structure Data Science and AI Intro to AI and Machine Learning Methods of Prediction AI and Applications Big Data Analytics Data Visualisation and Communication Business Project in Big Data & AI General business competencies Project Management Innovation Management and Digital Transformation Digital Marketing & Analytics CSR, Diversity and Ethics Leadership, action and intercultural competencies Behavioural Competencies in Virtual Teams Ethical Issues for AI CEO Decision Making & Case Studies Scientific and Methods Competence Research Methods and Scientific Work Master Thesis
Gisma University of Applied Sciences MSc Data Science, AI and Digital Business programme offers a unique combination of technology and business which will help you keep advance into a future-oriented career in a global company or innovative start-up. Digital technologies are omnipresent in today’s society and business world. All areas of life are affected by a digital revolution which is evolving faster and faster. Artificial intelligence, 5G, Big Data, the Internet of Things, and Blockchain will disrupt traditional business models and change job roles in the industry.
Master in Business Analytics & Data Science
Overview Technology advances have dramatically changed the way businesses function, and expertise in business analytics and data science is essential to leverage technology for optimal results. Applying a hands-on approach, this program gives students a comprehensive foundation in data science, using industry-leading software, tools and applications. Students will gain practical experience with advanced web-based applications and toolsets, understand how to use data as a strategic resource and learn how to apply data management skills to a business setting in order to effectively implement data-driven solutions. After completing the master program, students will have the opportunity to earn an additional qualification, a U.K. state-recognized degree from London Metropolitan University (London Met). To earn the MSc in International Business Management, students must complete an additional 14-week Business Consultancy Project module (30 ECTS) and a Research Module. Studying a master's program in Munich allows students to expand their business knowledge in the economic powerhouse of Germany. The vibrant Bavarian capital is home to numerous major multinational company headquarters including BMW and Allianz, as well as a flourishing startup scene, and is also actively pursuing initiatives to provide a greener, more sustainable living environment. Munich may be famous for its annual Oktoberfest festival, but it has so much more to offer students wishing to study business. The city energetically promotes and supports innovative startups and tech companies, making it an ideal place for future entrepreneurs to gain knowledge, get involved and to set up new and forward-thinking ventures. Munich also offers students a superb array of sports, outdoor adventures, socializing and entertainment opportunities, ensuring a well-rounded student experience.
The master's programs (título propio) awarded by Universidad Católica San Antonio de Murcia (UCAM), Spain, were authorized to be offered at EU Business School Munich GmbH on April 13, 2021, following article Art. 86 Abs. 3 BayHSchG. For more information about university-specific degrees (título propio) and state-recognized university titles, please refer to the section Degrees at EU Business School on our website at euruni.edu/degrees.
The core units of this program will allow you to explore a range of data science concepts. Specialist elective units will allow you to explore complementary areas of interest through additional coursework units, an industry placement unit or a research thesis unit. Study a postgraduate course at Charles Darwin University to upskill at work, fast-track your career, increase your job prospects or explore a new interest. We offer flexible study options so you don't have to put your life on hold while you learn. - #2 Australian uni for postgraduate employment outcomes (GUG 2024) - Top 100 university globally for quality education - Our graduates enjoy higher than average employment rates and starting salaries Compulsory Core units totalling 150 credit points as detailed below: - Software Now - Foundations of Data Science - Algorithms and Complexity - Database concepts - Principles of Computing Systems - Business Intelligence and Data Mining - Project Management, Risk and Reliability - Advanced Data Management - Data Analytics and Visualisation - Machine Learning, Artificial Intelligence and Algorithms - Security Assessment in Software Development
The Master of Data Science will further develop your technical and analytical skills needed to manage and interpret useful insights from large data sets. Your coursework will include project-based assessments allowing you to focus on what you are passionate about.
What you’ll study On this course, you'll: Become familiar with popular software and tools such as Knime, Tableau, Hadoop and Spark Get remote access to our computer clusters and supercomputers Analyse real data to provide answers for practical problems Learn about applied data analytics and engineering, advanced data management, big data applications and business intelligence Discover and manage the business value provided by data sets All course materials are available on-demand and can be accessed from wherever you are in the world. Find out more about how you'll learn with us. Modules - Applied Intelligent Data and Text Analytics (30 credits) - Big Data Applications (30 credits) Business Intelligence (30 credits) - Data Analytics and Management (30 credits) - Master’s Engineering or Study Project (60 credits) How you're assessed All assessments for this course are based on coursework submitted online. Your performance is assessed through coursework such as: - Practical work, including task-based exercises - Written assignments - Presentations - Master’s Engineering or Study Project You'll also receive formal and informal tutor feedback to help you improve future work. Entry requirements To join this course, you must have: - A first or second class honours degree in a relevant subject, or international equivalent, or relevant employment experience - English language proficiency at IELTS level 6.0 with no component score below 6.0 (or other acceptable proof), if English is not your first language If you’re unsure whether you’re eligible to apply, please speak to one of our course advisers on +44(0)23 9431 1545, or email info@study-online.port.ac.uk
The amount of information we generate is skyrocketing, and an organisation’s ability to leverage its power often determines its success. Are you ready to secure a rewarding job helping companies get the most out of their data? On this 100% online course, we’ll give you the in-depth knowledge, key concepts and methods for turning raw data into valuable business solutions. Join us to develop vital skills that are sought-after by companies everywhere, and unlock exciting new career options that propel businesses toward success.
Program structure A Bachelor of Arts or Science degree takes a minimum of three or four years (90 – 120 credits) of full-time study, depending on your academic background. The core of the Data Science program integrates two main components. The first offers foundational training in mathematics and statistics along with more hands-on exposure to data science applications through data science labs and machine learning courses. The second component provides exposure to traditional computer science topics such as programming, databases and algorithms, plus the opportunity to learn cutting-edge topics in artificial intelligence. The curriculum also includes a course in technical writing and one about social and ethical dimensions of technology, which provide the opportunity to develop soft skills that are useful in the area of data science. We offer an honours program to computer science students with high academic standing. You may apply to the honours program once you have completed 30 credits. After your degree The program targets students expected to directly join the workforce after completion of the undergraduate degree. The program will prepare them to hold a technical position related to the production and analysis of data by providing them with a knowledge base in probability and statistics, data management, and computer programming. The students will have an opportunity to be exposed to various subdisciplines such as artificial intelligence, pure mathematics, and communication.
In today’s economy, businesses and institutions rely on data analysis to reach their goals. Data collection is made possible by technological advancements, but insightful data analysis requires human expertise. That’s where a degree in data science comes in. Data analysis is an essential part of working in almost every field today. For this reason, data scientists are in high demand across economic sectors. Students in the Data Science program will develop a broad array of practical skills including: Data science applications in mathematics and statistics, computer science, artificial intelligence, ethics and communication. Both theoretical understanding and hands-on experience
Digital Economics Master of Science (M.Sc.)
Characteristic features of the degree program - newly designed interdisciplinary program - first university program of its kind in Germany - modern and innovative study program at the interface of economics and informatics - possibility to individualize your course through extensive elective and specialization options - close cooperation with the Department of Humanities and Social Sciences - Industrial Partner Network for company contacts and internships - KIT is member of the university network EUCOR which enables you to participate in courses at the universities Freiburg, Basel, Strasbourg, Colmar and Mulhouse - departmental International Relations Office for assistance in planning your stay abroad - for prospective doctoral students: Karlsruhe House of Young Scientists (KHYS) - for young start-ups: entrepreneurial support by KIT-Gründerschmiede / KIT Founders Forge In the compulsory area, the degree program, which is now mainly taught in English, is divided into the subjects economics, methods and society with the modules Economics: - Digital Economics (9 CP) - Digital Financial Economics (9 CP) - Economics & Management (9 CP) Methods: - Informatics & Machine Learning (9 CP) - Statistics & Econometrics (9 CP) - Computation & Optimization (9 CP) Society: - Digitalization & Society (9 CP) In the supplementary compulsory elective area, you set your own focus in terms of content by choosing two elective modules (2x 9 CP) and a seminar module (9 CP) from the subjects of business administration and economics, informatics, operations research, statistics and/or law and sociology. In the final fourth semester, you will write your master's thesis.
In the interdisciplinary master's degree program in Digital Economics, you will deepen and supplement the academic qualifications you acquired in your bachelor's degree program in the subjects of digital economics, business administration and economics, informatics, mathematics, statistics and econometrics, operations research and social sciences. The master's program in Digital Economics opens up career opportunities e.g. as executive in all areas of public administration, in non-governmental organizations, and in all areas of the private sector that are influenced by digitalization. In addition, there is a possibility of working in consulting or in start-ups. Or you can opt for an academic career and start a doctorate as the next step.
Karlsruher Institut für Technologie (KIT) Campus Süd
Overview Study Plan Achieve master’s level in extracting knowledge from data and build the core competencies required to become a Data Scientist leader who can define tomorrow’s new directions and innovations today. During your master’s program, you will acquire the necessary expertise in a variety of applied modules that focus on Data Science Fundamentals, Data Science Methods and Computer Science. The Data Fundamental modules will connect all relevant aspects of data science. This includes Operations, Applications and Innovations. You will deepen your practical skills in data science and process management projects as well as in the necessary programming languages and applications. One such example comes from the field of predictive analysis in which you will learn to address customers more specifically based on their potential behavior. Within the Data Science Methods module, you will broaden your competences in predictive and prescriptive analysis. Practical project work will enable you to determine how these methods are applied and how you can derive reliable and relevant forecasts from your data analysis. The Computer Science module gives you detailed insights into how new technologies and methods of Parallel Computing, Cognitive Computing and Disruptive Computing are applied to data science projects and used in practice. During your master’s program, you will expand your existing knowledge of Digital Leadership with a two-phase Leadership Assessment (in the first and fourth semesters). In addition, you will establish consulting competences as part of a practice project and deepen your qualitative and quantitative research methods during a practice-oriented research project. Options include Information Analysis Become an information superhero and lay the decision-making groundwork for tomorrow’s successes. You use the entire data infrastructure, restore archived information (data retrieval) and bring that information back into the game, which gets you right to the bottom of data. Not only are you familiar with all retrieval models and methods and the architecture of retrieval systems but also with their various fields of application (e.g. search engines). Your toolset also includes User Behavior, User Interfaces, Web Information Retrieval and Multi Retrieva, which you use to generate precise analyses on the behavior of target audiences (e.g. customers). Business Analysis Become a trailblazer and use your interdisciplinary, digital skills to set the course for major cross-sectional fields of the economy. Your forecasts determine the success factors of the future and provide the blueprints for the respective departments. You use Marketing Analytics to gain a better understanding about the market (your customers) and to even more effectively address it. You set the stage for all future marketing activities. Using Financial Analytics, you evaluate and manage the economic viability of a business. Financial Investment Analytics is your tool of choice when it comes to assessing important investments for tomorrow and beyond. Human Computer Interaction/Natural Language Processing (NLP) Become a translator and link man and machine, thereby creating new ways of interaction. Be it simplified handling of new products for the most diverse target audiences or controlling large-scale machines by voice or language assistants, you determine the dialogs. Not only are you versed in all theoretical and conceptual approaches from linguistics (speech recognition, speech processing, speech generation) and computer science (including Artificial Intelligence, Machine Learning) but have also acquired the needed methods and techniques through applied projects.
A course of study for the analysts of the digital future Our Master in Data Science (in planning) is a degree programme for all forward thinkers who are planning today the digital precision landings of the day after tomorrow. Do you want to know how large data science projects are set up and managed? Which cross-sectional areas and competencies need to be taken into account? And how can these be linked to create viable innovation potentials for industry, technology, research and development? Do you wonder how you can eliminate the risk factor in future predictions for large-scale innovation and production processes? Curious which methods and techniques to use? Our master’s program in Data Science will not only give you answers to your questions, but will also give you the knowledge and skills you need so that the future can emerge from your forecasts.
PhD in Economics - University of Torino
All activities take place at the Collegio Carlo Alberto in downtown Torino. Students can benefit from a vibrant and international academic environment and participate in all scientific events (seminars, workshops, conferences, ...). On top of the yearly scholarship (17,500 Euros per year, for four years), they receive yearly research funds and have the possibility to spend part of their third or fourth year abroad as visiting students. There is also the possibility to sign cotutelle agreements with other academic institutions so to obtain a double doctoral degree. See the poster announcing the new round of admissions! It can be downloaded here. The official call for applicants will be released in April 2025. In the meantime, potential applicants are however invited to send at their earliest convenience their "expression of interest". The guidelines for the submission of the expression of interest can be found here. For more information about the Vilfredo Pareto PhD in Economics, see the website of the program or contact vpde.unito@carloalberto.org.
The Vilfredo Pareto PhD in Economics is a 4-year PhD program of the University of Torino, organized in close collaboration with the Collegio Carlo Alberto. The program allows students to structure their coursework and write their doctoral dissertation in a number of different areas of economics. After a common set of core courses that take place in the first semester (including review courses in mathematics and statistics and advanced courses in microeconomics, macroeconomics, and econometrics), students can further prepare for their dissertation work by choosing from a list of elective courses.
PhD Programme in QUANTITATIVE METHODS IN ECONOMICS at the University of Macerata
Course Objectives The aim is to develop scientific training in quantitative analysis for the new generation of scholars in academia and to promote a culture of quantitative analysis within institutions. The course delves into policy analysis tools, both ex-ante (calibrated predictive models) and ex-post (counterfactual analysis of observational data); mathematical and statistical quantitative methods in deterministic and stochastic contexts applied to economic growth, income distribution, monetary policy, international trade, environmental economics, social inclusiveness, business economics, and other areas of economic analysis application. These topics are also explored through simulation models such as multisectoral models (input-output, SAM based, and CGE) and agent-based models. Significant attention is also paid to new methods of online data collection and analysis (big data, web scraping, and nowcasting), network analysis, and data analysis applied to administrative business data. Employment and Professional Opportunities QME PhD graduates will be able to access professions requiring high qualifications in data analysis, the construction and maintenance of quantitative survey models, and policy evaluation at both micro and macroeconomic levels. More specifically, the QME PhD facilitates access to academic careers in national and international university systems; work in economic research centers at the national and international level; activities supporting the choice and implementation of economic policies at all levels of government; roles in policy impact evaluation, both ex-ante and ex-post, in public and private companies; and professions related to the roles of economist and applied statistician or emerging roles such as data scientist, data analyst, or data journalist. In particular, the focus on training public officials in data analysis aims to contribute to technical competence in public administration. Similarly, the application of quantitative methodologies to business administrative data and fields such as business analytics offers a professional outlet in companies that prioritize the use of data analysis in strategic decision-making.
The PhD in Quantitative Methods in Economics (QME) - entirely in English - provides excellent skills in the use of the most modern quantitative tools for economic analysis and economic policy analysis, used both in academia and in the private sector, as well as in the analytical activities of national and international institutions.