Data Science

Entry requirements

Upper second class honours (2:1) degree or equivalent in a relevant discipline, including a substantial amount of mathematics.

Months of entry

September

Course content

About the MSc programme

The MSc Data Science provides training in data science methods, emphasising statistical perspectives. You will receive a thorough grounding in theory, as well as the technical and practical skills of data science.

Your theoretical learning will be at a high mathematical level, while the technical and practical skills you will gain will enable you to apply advanced methods of data science and statistics to investigate real world questions.

The compulsory courses on the MSc Data Science programme will provide you with comprehensive coverage of some fundamental aspects of data, computational techniques and statistical analysis. You will then choose courses from a number of options ranging from Artificial Intelligence and Deep Learning, Bayesian Machine Learning and Distributed Computing for Big Data, to Financial Statistics and Computational Data Science. The programme will combine traditional lectures with computer lab sessions, in which you will work with data to complete hands-on exercises using programming tools.

The MSc Data Science Capstone Project will provide you with a unique opportunity to apply knowledge gained from the programme by working on a real-world data science project in cooperation with a company. The Capstone Project company partners in the academic year 2021/22 included Facebook, Microsoft, Capgemini, Koa Health, Siemens Advanta Consulting, Deutsche Bank and Open University. The Capstone Projects have covered a wide range of data science problems involving analysis of various types of data such as social media data, customer behaviour data, and company network data. Working on a Capstone Project will enable you to gain valuable hands-on experience and interact with industry.

Department of Statistics

The Department is home to internationally respected experts in statistics and data science. Maintaining and advancing our leading reputation for teaching and research is our top priority. We offer a vibrant research environment and a comprehensive programme of undergraduate and postgraduate degrees. The Department has grown in recent years, especially in the area of data science which is a key priority for education and research in the LSE2030 strategy. We aim to play a leading role in fostering the study of data science and new forms of data, with a focus on its social, economic, and political aspects.

Information for international students

LSE is an international community, with over 140 nationalities represented amongst its student body. We celebrate this diversity through everything we do.

If you are applying to LSE from outside of the UK then take a look at our Information for International students.

Fees and funding

Fees

Every graduate student is charged a fee for their programme. Visit the website for more information about the fees.

Funding

The School recognises that the cost of living in London may be higher than in your home town or country, and we provide generous scholarships each year to home and overseas students.

This programme is eligible for needs-based awards from LSE, including the Graduate Support Scheme, Master's Awards, and Anniversary Scholarships.

Selection for any funding opportunity is based on receipt of an application for a place – including all ancillary documents, before the funding deadline.

In addition to our needs-based awards, LSE also makes available scholarships for students from specific regions of the world and awards for students studying specific subject areas.

Find out more about financial support.