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Data Analytics MSc
Data Analytics MSc
P-G5PA
MSc
1 year full-time
29 September 2026
Computer Science
University of Warwick
Warwick's Data Analytics MSc is designed for technically minded graduates of computer science, mathematics or physical sciences. Ranked 4th in the UK (REF 2021), Warwick's Computer Science department is a research leader in data analytics and will train you in the technical skills and expertise you need.
This course is designed for technically minded graduates with a background in computer science, mathematics, or the physical sciences.
It provides a distinctive perspective on data analytics that combines aspects of computer science, business, engineering, and mathematics. Thanks to the technical skills and expertise the course develops, our graduates can pursue opportunities at the forefront of an emerging discipline that will continue to revolutionise science and industry for years to come.
The course has two components - a taught component and a dissertation. The taught component will allow you to acquire expertise and technical skills in cutting edge areas of data analytics, including computer security, data mining, natural language processing and visualisation, as well as experience of project management and scientific methods.
The taught component is complemented by a dissertation project, undertaken primarily in the second half of your course, which offers the opportunity to specialise and explore areas of interest in greater depth. Your dissertation may be entirely research focussed or directed towards the application of advanced topics.
Class Size
Contact Hours
You will be assessed through a variety of methods; exams, coursework, presentations, and a dissertation. Exams take place in the summer term; usually in May and/or June with dissertations expected to be completed in September.
If you would like to view reading lists for current or previous cohorts of students, most departments have reading lists available through Warwick Library on the Talis Aspire platformLink opens in a new window.
You can search for reading lists by module title, code or convenor. Please see the modules tab of this page or the module catalogue.
Please note that some reading lists may have restricted access or be unavailable at certain times of year due to not yet being published. If you cannot access the reading list for a particular module, please check again later or contact the module’s host department.
Your personalised timetable will be complete when you are registered for all modules, core and optional, and you have been allocated to your lectures, seminars and other small group classes. Your core modules will be registered for you, and you will be able to choose your optional modules when you join us.
First Class Honours degree or a high 2:1 undergraduate degree. The degree must be in Computer Science, Mathematics, Statistics, Physics, or another relevant quantitatively focused degree.
There are no additional entry requirements for this course.
We have revised the information on this page since publication. See the edits we have made and content history.