Developed by academics at LSE, this degree will provide you with essential training in probability, statistics, mathematics and computing tools for the visualisation and analysis of large datasets.
This skills-rich degree will provide you with the necessary training for employment in numerous fields as a data scientist, analyst, or similar, requiring a critical and independent mind. By studying this programme through a Recognised Teaching Centre, you’ll benefit from local study support and the facilities of an on-campus environment.
BSc not BCs
Introduction to economics EC1002
Statistics 1 ST104a (Half course)
Statistics 2 ST104b (Half course)
Mathematical Methods MT1186
Business and management in a global context MN1178
200 and 300 courses
Information systems management IS2184
Business analytics, applied modelling and prediction ST2187
Statistical methods for market research ST3188
Machine learning ST3189
Advanced statistics: distribution theory ST2133 (Half course)
Advanced statistics: statistical inference ST2134 (Half course)
Select one of the following
Elements of econometrics EC2020
Abstract mathematics MT2116
One 300 course (or two half courses) from Selection groups E, M or N
One 100, 200 or 300 course from any Selection group
As the world becomes ever more data-driven, analytical skills are in high demand but very short supply. Few companies are exploiting quantitative techniques to their full potential, often due to a lack of in-house expertise.
By pursuing undergraduate level study in data science and business analytics, graduates will be highly sought-after by employers as the race to gain a competitive edge in the data arena intensifies. From asset management to pharmaceuticals, retail to insurance, the future is bright for any aspiring data scientist.
What do employers think of our graduates?
In some countries, qualifications earned by distance and flexible learning may not be recognised by certain authorities or regulators for the purposes of public sector employment or further study. We advise you to explore the local recognition status before you register, even if you plan to receive support from a local teaching institution.