Taught course

Data Science

University of Nottingham · Faculty of Science

Entry requirements

A 2:1 (or international equivalent) with evidence of an interest or aptitude in mathematics and computing. Graduates from other fields, with strong mathematics and/or computation background will be considered with 60% average mark.

Months of entry


Course content

Big data is playing an increasingly important role in our society. The need for expert and ethical 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:

  • Development of location-based service for education
  • UK precipitation forecasting
  • The effect of virtual audiences on music performance anxiety


This course offers multiple pathways, preparing you for a highly skilled career in industry or research.

If you have a background in computer science or mathematical sciences, this course provides a selection of advanced modules that can ensure your further growth.

If you have a background in other subjects, the course provides a selection of modules that enable you to acquire knowledge in mathematics and computer science starting with required fundamentals.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Postgraduate Enquiries
+44 (0)115 951 5559