UCL (University College London)

Course Introduction

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.

Course Modules

Compulsory modules: Introduction to statistical data science; introduction to supervised learning; statistical design of investigations; statistical computing. Optional modules: Applied Bayesian methods; decision and risk; factorial experimentation; forecasting; quantitative modelling of operational risk and insurance analytics; selected topics in statistics; stochastic methods in finance i; stochastic methods in finance ii; stochastic systems; affective computing and human'robot interaction; graphical models; statistical natural language processing.

Course Additional Entry

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.

Duration & Attendance Qualification Tuition fees
1 year
Full Time
MSc (Postgraduate) £23,020  Academic year. First year overseas fees
1 year
Full Time
MSc (Postgraduate) £11,090  Academic year. First year home fees
2 years
Part Time
MSc (Postgraduate) £11,460  Academic year. First year overseas fees
2 years
Part Time
MSc (Postgraduate) £5,725  Academic year. First year home fees