UCL (University College London)
Data Science (with specialisation in Statistics)
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.
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.
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||GBP 11,090 per Year 1 (England)||1 years|
|MSc||Full-time||GBP 23,020 per Year 1 (International)||1 years|
|MSc||Full-time||GBP 11,090 per Year 1 (Northern Ireland)||1 years|
|MSc||Full-time||GBP 11,090 per Year 1 (Scotland)||1 years|
|MSc||Full-time||GBP 11,090 per Year 1 (Wales)||1 years|
|MSc||Part-time||GBP 5,725 per Year 1 (England)||2 years|
|MSc||Part-time||GBP 11,460 per Year 1 (International)||2 years|
|MSc||Part-time||GBP 5,725 per Year 1 (Northern Ireland)||2 years|
|MSc||Part-time||GBP 5,725 per Year 1 (Scotland)||2 years|
|MSc||Part-time||GBP 5,725 per Year 1 (Wales)||2 years|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
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