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MSc Data Science and Machine Learning

  • DeadlineStudy Details: 1 year

Masters Degree Description

Become a changemaker in the world of data science and machine learning through one of the most established Master’s programmes in this field. Our one-year Data Science and Machine Learning MSc offers modules spanning artificial intelligence and deep learning to digital finance and probabilistic modelling, enabling you to craft a future career in a range of fields.

Entry Requirements

A minimum of an upper second-class UK Bachelor's degree (or international qualification of an equivalent standard) in a highly quantitative subject such as computer science, mathematics, engineering, physicals, or statistics. Additionally, applicants must have knowledge of mathematical methods including linear algebra, calculus, probability and statistics at least at the level taught in the first year of a UK university undergraduate programme in the mathematical sciences. Relevant work experience may also be considered. Depending on the optional modules selected, students undertake assignments that contain programming elements and prior experience in a high-level programming language (e.g., Python) is useful.

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Fees

For fees and funding options, please visit website to find out more.

Programme Funding

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

Student Destinations

Graduate Outcomes survey data shows that recent graduates from Data Science and Machine Learning MSc have been employed at major tech and finance companies, including Accenture, Amazon, Bloomberg, Deutsche Bank, IBM, Index Ventures, IBM, and Morgan Stanley. Others have gone on to pursue further study or a career in academia.

Module Details

Compulsory modules

  • Introduction to Statistical Data Science
  • Applied Machine Learning
  • MSc Data Science and Machine Learning Project
  • Supervised Learning
  • Introduction to Machine Learning
  • Graphical Models
  • Bioinformatics
  • Information Retrieval and Data Mining
  • Statistical Natural Language Processing
  • Reinforcement Learning
  • Multi-agent Artificial Intelligence
  • Machine Vision
  • Bayesian Deep Learning
  • Applied Deep Learning

Optional modules

  • Supervised Learning
  • Introduction to Machine Learning
  • Graphical Models
  • Bioinformatics
  • Information Retrieval and Data Mining
  • Statistical Natural Language Processing
  • Reinforcement Learning
  • Multi-agent Artificial Intelligence
  • Machine Vision
  • Bayesian Deep Learning
  • Applied Deep Learning
  • reasonable adjustments
  • Student Support and Wellbeing Services
  • UCL Student Support and Wellbeing Services
  • AccessAble
  • UCL Student Support and Wellbeing Services.

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