MSc Data Science

A minimum of an upper second-class Bachelor's 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 is expected, along with evidence of familiarity with introductory probability, statistics and computer programming. Prior experience in a high-level programming language (e.g. R/matlab/python) is a requirement. Relevant professional experience will also be taken into consideration.

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UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies.

Graduates of the MSc Data Science in UCL Statistical Science progress into professional, normally data-driven roles—such as data scientist, machine learning engineer, data analyst and data engineer—or pursue further academic study.

Compulsory modules

• Introduction to Machine Learning
• Statistical Design of Investigations
• Statistical Computing
• Introduction to Statistical Data Science
• Research Project
• Foundation Fortnight
• Stochastic Systems
• Forecasting
• Stochastic Methods in Finance
• Stochastic Methods in Finance II
• Quantitative Operational Risk Modelling
• Optimisation and Operations Research
• Applied Bayesian Methods
• Inference at Scale
• Computational Statistics
• Applied Multivariate and High-Dimensional Methods
• Graphical Models
• Applied Machine Learning
• Information Retrieval and Data Mining
• Statistical Natural Language Processing
• Applied Deep Learning

Optional modules

• Stochastic Systems
• Forecasting
• Stochastic Methods in Finance
• Stochastic Methods in Finance II
• Quantitative Operational Risk Modelling
• Optimisation and Operations Research
• Applied Bayesian Methods
• Inference at Scale
• Computational Statistics
• Applied Multivariate and High-Dimensional Methods
• Graphical Models
• Applied Machine Learning
• Information Retrieval and Data Mining
• Statistical Natural Language Processing
• Applied Deep Learning
• reasonable adjustments
• Student Support and Wellbeing Services
• UCL Student Support and Wellbeing Services
• AccessAble
• UCL Student Support and Wellbeing Services.