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Harness new forms of data with increasingly powerful computer techniques. Gain the technical and practical skills to analyse big data. Study a unique course developed according to the needs of the employment sector.
The UK Government has identified a huge shortage of specialists in data science and artificial intelligence. The University of Sunderland is looking for a new generation of idealists, visionaries and problem solvers to help business, industry and government make the right decisions in our increasingly complex and uncertain world.
This course is designed for students who have computing, STEM experience or prior experience in working with data (e.g. statistics), to gain the knowledge and skills required to work in data science or data analytics in the real world. We are looking for people who ask questions, who don’t jump to conclusions, and who respond with caution. We want people who are able to find and communicate the best possible solutions.
On this course, you'll study subjects including the fundamentals of data science, data mining, machine learning, data analytics and visualisation, and security of big data. This highly practical course means you’ll have the opportunity to experience the latest technologies and tools used in industry, giving you the confidence to be productive and effective when you go out into the workplace.
We use a wide variety of teaching and learning methods which include lectures, group work, research, discussion groups, seminars, tutorials and practical laboratory sessions. Compared to an undergraduate course, you will find that this Masters requires a higher level of independent working.
Assessment is 100% coursework-based with no exams. Methods include written reports and research papers, practical assignments and the Masters project.
Our typical offer is:
| Qualification | Minimum grade |
|---|---|
| a Canadian bachelor's degree | GPA 2.40 |
| a USA bachelor's degree | GPA 2.5 |
If you already hold a postgraduate qualification, please see our Applying for additional postgraduate degrees Help and Advice article.
If you don't meet our standard entry requirements, you can take one of the foundation pathways at our partners ONCAMPUS Sunderland. Find out more information and whether your course is eligible on our ONCAMPUS page.
If your qualification is not listed above, please contact the Student Administration team at studentadmin@sunderland.ac.uk for further advice.
We require applicants to hold an undergraduate degree with a classification of 2:2 or above in a computing or related discipline (mathematics, statistics, engineering), or 2:1 or above in a relevant non-computing or related discipline (which has numeracy included and/or application of big data as a significant theme).
If English is not your first language, please see our English language requirements.
Fees are:
*European Union (EU), EEA (European Economic Area), and Swiss nationals who do not qualify for the EU Settlement Scheme are classed as international, however, for 23/24 admission you will receive a European student fee scholarship and will pay the home tuition fee rate for the duration of your studies. The discounted fee will be reflected in your offer letter. Learn more in our Help and Advice article.
Take a look at the Your Finances section to find out about the scholarships and bursaries that may be available to you.
This information was correct at the time of publication.
Businesses and industries across the UK have identified a skills gap in data science and currently the role of a Data Scientist is one of the highest paid jobs in the computing discipline.
Progress in some of the most attractive fields and industries, including government agencies, high technology companies, consulting and market research firms. Benefit from the University’s close links with businesses and employers in the North East and join an industry-driven programme.
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