12 months
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All programmes of study will be delivered in a dual way combining both online and face to face teaching as appropriate. Face to face teaching will be delivered in a blended format with no large lectures to begin with. Please visit our website for more information. The MSc in Data Science programme is offered by Swansea University.

Visit the official programme website for more information


The MSc in Data Science programme at Swansea University gives you a solid grounding in data science concepts and technologies for extracting information and constructing knowledge from data.

This course focuses on three core technical themes of data mining, machine learning, and visualisation.

You study computational principles, methods, and systems for a variety of real world applications that require mathematical foundations, programming skills, critical thinking, and ingenuity.

Developing research skills is an essential element of the course, enabling you to bring a critical perspective to current data science discipline, and apply it to future developments.

You learn how to mine structured data and unstructured data, gaining practical data mining experience alongside a systematic understanding of complex and heterogeneous data.

Conventional and state-of-the-art machine learning techniques will be taught through the application of methods and techniques to synthesise solutions.

By the end of the course you will be confident in applying concepts in data visualisation, information visualisation, and visual analytics to support data process and knowledge discovery.

Career opportunities

Completing this Data Science programme at Swansea University considerably enhances your data science career prospects. Our graduates often progress to rewarding employment within esteemed organisations. Below are a number of their recent destinations.

  • Workflow developer, Irwin Mitchell
  • Programmer, Evil Twin Artworks
  • Web developer & web support, VSI Thinking
  • Software developer, Wireless Innovations
  • Associate business application analyst, CDC Software
  • Software developer, OpenBet Technologies

Programme Structure

Courses include:

  • Computer Science Project Research Methods
  • Visual Analytics
  • Big Data and Data Mining
  • Big Data and Machine Learning
  • Mathematical Skills for Data Scientists
  • Abuses, Biases and Blessings of Data
  • Data Visualization
  • Human Computer Interaction

Key information


  • Full-time
    • 12 months
  • Part-time
    • 24 months

Start dates & application deadlines




180 alternative credits


On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
Upper Second Class

English requirements

IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).

Other requirements

General requirements

  • Minimum 2:1  (or equivalent) in Computer Science or a related discipline.  
  • IELTS 6.0 (with a minimum of 5.5 in each component) or equivalent English test.


For funding and scholarships, please visit our website for more details.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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