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.
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.
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.
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 name||Town||Postcode||Region||Main campus||Campus||Partner|
020 7679 1872/1881