Data Science MSc
On-Campus
Master's programs
Regular fees: 6800 - 13600 EUR
International Fees : 14575 - 29150 EUR
The MSc Data Science has been designed by leading academics and industry experts to deliver an education that matches the needs of employers. The world of data science and AI is rapidly evolving, and so are we. Lancaster University’s Data Science Institute plays a leading role in UK data science research, which means we continually refine and update our curriculum to make sure you are learning the most modern tools and techniques. As demonstrated by our hundreds of alumni, we develop graduates with the skills and expertise to become professionals that design, test and implement solutions to drive innovation and business decision making. You will gain the confidence to apply data science techniques that enable companies to use artificial intelligence to gain insights and make better decisions.
This flexible Master’s allows you to select modules, guided by pathways, to develop an enhanced understanding of modern data science technologies. The pathways are:
Biodiversity
Business Intelligence
Data Engineering
Who is this programme for?
For those interested in gaining insights from data to provide solutions, this Master’s in Data Science is open to anyone with an undergraduate degree, providing you have a good grasp of statistical analysis, ideally to A level standard. You may be a recent graduate or you may wish for a career change.
Looking ahead to employability
The strength of Lancaster’s MSc Data Science is producing graduates with demonstrable experience on their CV. Throughout the course you will network and interact with data science industry professionals through guest lectures, group projects and professional skills workshops. Crucially, you will have the opportunity to work on a real-time project during your 14-week placement with one of our industry partners, choosing techniques and approaches from your data science toolkit to provide answers to their questions.
You will also:
Gain the confidence to successfully speak the language of data science to future employers and colleagues
Develop your programming skills in R and Python
Graduate with the ability to think critically, design solutions, build a rationale and communicate this effectively
What to expect
Your learning and practical experience is split into three parts.
Core data science modules
Study the core modules that span the breadth of data science including the fundamentals of statistics and programming in Python; modern machine learning; and artificial intelligence. This term is essential in providing the foundations for you to advance your knowledge and technical skills in your chosen pathway.
Specialist modules
Choose your specialist pathway, selecting optional modules that align with your interests and career goals.
Industry placement or dissertation
Apply the knowledge and skills you've gained with a 14-week placement or dissertation, either within industry or as part of an academic research project. Our students really value this experience, with many offered jobs at the end. You will develop your ability to formulate a project plan, gather and analyse data, interpret your results, and present findings in a professional environment. This research will be an opportunity to bring together everything you have learnt over the year, expand your problem-solving abilities and manage a significant project.
Entry requirements
Academic Requirements
A 2:1 Hons degree (UK or equivalent) in any discipline, provided that the applicant has had exposure to quantitative methods such as statistics, or mathematical modelling.
Applicants with a 2:2 Hons degree in Computer Science, Mathematics, Statistics, Engineering, Physics, Life Sciences, Economics, Finance and Linguistics are strongly encouraged to apply, provided that their undergraduate degree included at least one module in statistics, mathematics, mathematical modelling or machine learning (e.g. Neural networks).
If you have studied outside of the UK, we would advise you to check our list of international qualifications before submitting your application.
English Language Requirements
We may ask you to provide a recognised English language qualification, dependent upon your nationality and where you have studied previously.
