Entry requirements

A 2:1 degree or equivalent in a relevant discipline, including a substantial amount of mathematics.

Months of entry

September

Course content

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 range of options ranging from Distributed Computing for Big Data and Statistical Computing, to Financial Statistics and Probabilistic Methods in Risk Management and Insurance. 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 2017/18 included Facebook, Google, Microsoft, Microsoft Research, Virgin Atlantic, SpecSavers, Proximity London and Tesco. 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.

Qualification and course duration

MSc

full time
12 months

Course contact details

Name
Student Recruitment Office
Email
stu.rec@lse.ac.uk
Phone
+44 (0)20 7955 6613