Overview
This Data Science course at Kingston University builds on the established strengths of the Mathematics and Computer Science programmes at Kingston and develops a multidisciplinary approach to the computational analysis of data. You will get the opportunity to develop your skills in a way which will prepare you for a variety of careers in this fast-growing and exciting area. You will also get to take advantage of opportunities for exposure to cutting-edge examples and exercises.
Like many MSc courses in the School of Computer Science and Mathematics, Data Science benefits from a diverse community of learners. You will study in week-long blocks that can fit around different work/study patterns.
Career:
Graduates from this course go on to pursue careers contained within the more generic data science umbrella. For example, they may become data engineers, data analysts and machine learning engineers.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Databases and Data Management
- Data Analytics and Visualisation
- Applied Data Programming
- Machine Learning and Deep Learning
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , International
-
- Starting
- Apply before , International
-
We encourage you to apply as soon as possible, applications will close when the course is full.
Language
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- 4.9/5 student rating
Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Data Science & Big Data View 408 other Masters in Data Science & Big Data in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- The typical offer for this course is a 2:2 or above honours degree in computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses.
- This course requires applicants to have programming knowledge, such as Python, Java, C++/C#, JavaScript and a knowledge of databases.
- Please note: each application for this course is assessed on an individual basis and may be subject to additional requirements, such as undertaking short course(s), work experience and/or English language qualification(s). Meeting particular minimum entry requirements does not automatically guarantee a place.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents20000 GBP / year≈ 20000 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents12900 GBP / year≈ 12900 GBP / year
Additional Details
UK students tuition fees:
- MSc part time £7,095
- MSc part time £11,000
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
The International Success Support Scholarship provides £2,500 towards tuition fees for international students starting in September 2026 on an eligible course. Postgraduate students receive the award in their first year, and this award supports international students to succeed at Kingston University.
We also offer a small number of International Merit-Based Scholarships worth £5,000 towards first-year tuition fees.
Full scholarship details can be found here:
https://www.kingston.ac.uk/study/fees-and-funding/international-scholarships
Check for any work restrictions
Visit programme websiteIn order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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