
MSc Data Science
Course overview
The University of Surrey Data Science programme aims to equip students with the skills needed to analyse and understand large, complex datasets. It covers key areas such as machine learning techniques, statistical modelling, data management, and the ethical use of data. The course prepares students to extract meaningful insights and contribute to data-driven decision-making in various industries.
Students will learn through a blend of lectures, practical laboratory sessions, and seminars. Assessment typically includes coursework assignments, written examinations, and a substantial individual research project or dissertation. This structure allows students to apply theoretical knowledge to real-world problems and develop a strong portfolio of practical data science skills.
Entry requirements
Candidates are required to submit a personal statement, and a relevant academic and/or employer reference is also required. Students have the option to include their CV along with their applications to show their work experience.
Grade Requirements:
- Applicants need at least a 2:2 UK honours degree (or an international equivalent) in a numerate subject. This includes fields such as Mathematics, Statistics, Computer Science, Engineering, Physical Sciences, or Economics.
- Applicants need to demonstrate a strong mathematical background.
English Proficiency:
- If English is not your main language, you must prove your ability to use it well. This generally means achieving an IELTS score of 6.5 overall, with a minimum of 6.0 in writing and 5.5 in other components.
- The university also accepts comparable scores from other approved English language tests.
Scholarships
Discounts for Surrey Graduates
As graduate of Surrey you may be eligible for a 20 per cent discount on our taught masters programme fees.
Up to 20% of feesEarly Payment Discount
The discount is awarded as a £2,000 fee waiver for eligible students in the first year of their studies.
Up to £2,000ICAEW Foundation Bursary
The ICAEW Foundation Bursary will be given as a one-off payment of £5,000 for one year of postgraduate study.
Up to £5,000International Alumni Discount for Medicine (Graduate Entry) BMBS
The discount of 20% only applies to the first year of the Medicine (Graduate Entry) BMBS programme.
Up to 20% of feesInternational Excellence Award (Postgraduate)
This prestigious £5,000 award recognises academic excellence and is awarded to selected students starting a masters degree at Surrey.
Up to £5,000ISTAT Foundation Scholarship Program
Contributing to the development of future aviation professionals by providing funds and avenues for students with a keen interest in commercial aviation.
Surrey MBA AI Pathfinders Scholarship
This is a partial scholarship that covers 10–50% of tuition fees, depending on the applicant’s profile and interview performance.
Surrey MBA Eastern Europe Bridge Scholarship
This is a partial scholarship that covers 10–50% of tuition fees, depending on the applicant’s profile and interview performance.
Surrey MBA Employer Partnership Scholarship
This scholarship allows the Surrey MBA to match employer contributions towards the tuition fee up to 40%.
Surrey MBA Enterprise Trailblazer Scholarship
This is a partial scholarship that covers 10–50% of tuition fees, depending on the applicant’s profile and interview performance.
Surrey MBA Service Stewardship Scholarship
This is a partial scholarship that covers 10–50% of tuition fees, depending on the applicant’s profile and interview performance.
Surrey MBA Women in Leadership
This is a partial scholarship that covers 10 – 50% of the tuition fee.
Career opportunities
Graduates of the MSc Data Science programme are well-prepared to transition into roles as:
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Business Intelligence Analyst
- Statistician
- Quantitative Analyst
Cost of study
For international students, the full-time tuition fee for the MSc Data Science programme at the University of Surrey is £24,900 per year.
Admission
Applications can be submitted directly to the university through their online application form. Please speak to our trained advisors for assistance.
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