MSc Data Science and Statistics

Data science is increasingly important to the global economy and is influencing scientific progress across numerous fields. This course will provide you with the tools to become an industry expert with a strong mathematical foundation.

You’ll learn strong statistical foundations of universal relevance as well as gain expertise in statistics and probabilistic modelling, including the design, collection, analysis and presentation of data. You’ll also study machine learning techniques and software technologies central to putting this knowledge into practice, addressing the challenges of small and large data sets.

This course is designed for graduates who have limited experience of statistics and would like to develop their knowledge in this area. The first semester will give you the foundation level statistical knowledge and general programming skills required of data scientists. The second semester is focused on statistics, and will give you the skills and knowledge to challenge real world data using more advanced analytical techniques.

After graduation you’ll be well placed to progress into a wide variety of careers in data science, from large-scale established commercial enterprises to innovative technology start-ups. You'll also have acquired the essential foundation for further postgraduate study and research within related fields. We also offer this course with a placement year, giving you the opportunity to gain work experience as part of your degree.

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Modules

  • Applied data science
  • Statistics for data science
  • Machine learning 1
  • Software technologies for data science
  • Applied data science
  • Applied Statistics
  • Statistical Design of Investigations
  • Statistical Modelling
  • Research project preparation
  • Dissertation
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    £31,600 Per Year

    International student tuition fee

    1 Year

    Duration

    Sep 2025

    Start Month

    Aug 2025

    Application Deadline

    Upcoming Intakes

    • September 2025
    • September 2026

    Mode of Study

    • Full Time