MSc Data Science

Big data is playing an increasingly important role in our society. The need for expert and ethically-informed data analysis is in high demand across many industries. This course gives you the professional and problem-solving skills for a range of high-level careers.

This interdisciplinary masters will be taught by the Schools of Computer Science and Mathematical Sciences. Our academics conduct their own international-quality research. They use this to teach you the latest techniques and technologies in this field.

Develop your knowledge in key topics such as statistical modelling, machine learning and advanced algorithms. We offer a range of flexible optional modules. This allows you to study a topic that interests you.

You will undertake an individual research project in an area of your choice. This can be with industry partners or with one of our expert research groups. Past projects have included:

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Modules

  • Compulsory modules
  • Research Project
  • Machine Learning
  • Advanced Algorithms and Data Structures
  • Linear and Discrete Optimisation
  • Computer Vision
  • Designing Intelligent Agents
  • Data Science with Machine Learning
  • Handling Uncertainty with Fuzzy Sets and Fuzzy Systems
  • Simulation and Optimisation for Decision Support
  • Fundamentals of Information Visualisation
  • Information Visualisation Project
  • Big Data Learning and Technologies
  • Programming
  • Databases, Interfaces and Software Design Principles
  • Applied Statistics and Probability
  • Time Series and Forecasting
  • Statistical Modelling
  • Applied Multivariate Statistics
  • Classical and Bayesian Inference
  • Computational Statistics
  • Statistical Machine Learning
  • Time Series and Forecasting
  • Applied Statistical Modelling
  • Applied Multivariate Statistics
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    £27,200 Per Year

    International student tuition fee

    1 Year

    Duration

    Sep 2025

    Start Month

    Aug 2025

    Application Deadline

    Upcoming Intakes

    • September 2025

    Mode of Study

    • Full Time