Data Science and Machine Learning

Entry requirements

For admission to MSc Data Science and Machine Learning, the requirement is a good honours degree (or equivalent) in computer science or cognate discipline. The choice of award title students may be accepted on to will be determined by the award applied for and the prior learning of the student as demonstrated by the transcript for existing qualifications held by the applicant.

Months of entry

January, September

Course content

The MSc in Data Science and Machine Learning draws on our internationally recognised research in data science and machine learning. It is informed by the expertise of our academic staff and reflects current research and practice in the field. The course develops your understanding of how to obtain data from a range of sources, alongside key methods for data pre-processing, cleaning, analytics, and modelling.

The course is delivered through a combination of core modules that develop both theoretical understanding and practical skills in data science and machine learning. You will cover key areas including data engineering and teamwork, real-world data science applications, mathematical and programming foundations, neural networks and machine learning, and responsible technology practice. In the final project, you apply your knowledge and skills to an independent, substantial piece of work in data science and machine learning.