Data Science concept

Our three-year BSc in Data Science (DatSci) and four-year MSci in Data Science (MDatSci) are Single Honours courses specifically designed for individuals keen to be exposed to the sophisticated theory and methods required for addressing modern data-analytic challenges. They equip you with the knowledge, skills, and attitude required by emerging challenges in the information age. The courses are organised jointly by the Department of Statistics and the Department of Computer Science.

Specific aspects of DatSci/MDatSci

• Operational Research
• Mathematical Finance

Undergraduate Prospectus

• DatSciLink opens in a new window / (BSc, Discover Uni)Link opens in a new window
• MDatSciLink opens in a new window / (MSc, Discover Uni)Link opens in a new window

Related degree courses

• BSc and BSc MSci in MORSELink opens in a new window
• BSc and BSc MMathStat in Mathematics and StatisticsLink opens in a new window

Admissions

Application should be made to to either DatSci (7G73) or MDatSci (G304) but not both. Transfers between these two courses is straightforward during the first two years at university (details under Course structure). Transfers between all our courses - DatSci, MDatSci, MathStat, MMathStat, MORSE and MMORSE - are usually straightforward for offer-holders and even beyond; see FAQs for more details. We therefore recommend applying to just one of our courses. Overseas students need to make changes to their visa when changing their course, even within the same department - see International Student Immigration Service. For EU students such considerations may become relevant in the future, too. For more information see under Admissions on our Undergraduate pages.

 

DatSci or MDatSci?

DatSci and MDatSci are the same during the first two years, making it easy to reconsider your preference. Differences become apparent in the final years. In particular, the fourth year of the MDatSci course offers a supervised masters-level dissertation and the possibility to specialize in areas such as advanced statistical learning and big data, high-performance computing, algorithmic game theory, and computational biology and statistical genetics. 

FAQ

You'll have lots of questions about MORSE so we have put together a comprehensive FAQ page.