UCL (University College London)

UCL (University College London)

Data Science (with specialisation in Statistics)

Data science brings together computational and statistical skills for data-driven problem solving, which is in increasing demand in fields such as marketing, pharmaceutics, finance and management. This programme will equip students with the analytical tools to design sophisticated technical solutions using modern computational methods and with an emphasis on rigorous statistical thinking.

Entry requirements

A minimum of an upper 2nd Class Honours degree in a quantitative discipline from a UK university or an overseas qualification of an equivalent standard. Knowledge of mathematical methods and linear algebra at university level and familiarity with introductory probability and statistics is required. Relevant professional experience will also be taken into consideration.

Course modules

Core modules: introduction to statistical data science; introduction to machine learning; statistical design of investigations; statistical computing; modules may include: applied Bayesian methods; decision and risk; factorial experimentation; forecasting; medical statistics; stochastic methods in finance; affective computing and human-robot interaction; cloud computing; financial data and statistics; machine vision; statistical natural language processing; web economics.

Assessment methods

The programme is delivered through a combination of lectures, tutorials and classes, some of which are dedicated to practical work. Assessment is through written examination and coursework. The research project is assessed through the dissertation and a 15-minute presentation.


Qualification Study mode Start month Fee Course duration
MSc Full-time £ 11,090 per Academic year (home fees) 1 years
MSc Full-time £ 23,020 per Academic year (overseas fees) 1 years
MSc Part-time £ 5,725 per Academic year (home fees) 2 years
MSc Part-time £ 11,460 per Academic year (overseas fees) 2 years

Campus details

Campus name Town Postcode Region Main campus Campus Partner

Key information

Programme Administrator
Telephone number: 
020 7679 1872/1881