UCL (University College London)
Data Science (with Specialisation in Computer Science)
A minimum of an upper 2nd class Honours degree in a quantitative discipline (such as mathematics, computer science, engineering, physics or statistics) from a UK university or an overseas, qualification of an equivalent standard. Knowledge of mathematical methods including linear algebra and calculus at first-year university level is required. Depending on the modules selected, students undertake assignments that contain programming elements and prior experience in a high-level programming language (R/matlab/python) is useful. Relevant professional experience will also be taken into consideration.
Applied machine learning; information retrieval and data mining; introduction to machine learning; introduction to statistical data science; applied bayesian methods; business analytics; cloud computing; decision and risk; financial data and statistics; machine vision; programming and mathematical methods in machine learning; statistical models and data analysis; web economics; affective computing and human-robot interaction; bioinformatics; computational modelling for biomedical imaging; forecasting; graphical models; stochastic systems; supervised learning.
The programme is delivered though a combination of lectures, seminars, class discussions and project supervision. Student performance is assessed through a combination of unseen written examination, coursework (much of which involves programming and/or data analysis), practical application, and the research project.
|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|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
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