Overview
The Mathematics and Data Science MSc course from University of Stirling is one of the first courses to link these two key areas, making it uniquely positioned to help you meet this demand. The course focusses on the application rather than pure theory of mathematics and is assessed primarily through coursework, developing those skills which are in high demand by the data industry.
Key facts
- The course will provide you with a strong foundation in the mathematical analysis of data-driven systems and help you develop your computing skills, from programming Python and R, to advanced techniques including Artificial Intelligence and Machine Learning, to applying the techniques you learn on a large scale. You will learn the techniques used to approach data and build models using computational analysis and understand the mathematics underpinning these techniques.
- Our graduates have gone on to work in financial institutions, major energy firms, sport and fitness, start-ups, NHS, Environmental agencies, the Scottish Government, as well as gone onto undertake PhDs in UK and overseas.
- Career opportunities:
- As opposed to focussing on a single application or field, this course was designed to give you the core skills needed to go into mathematical modelling or data science, including becoming a data analyst, data engineer, researcher or modeller.
- 96% of our postgraduate leavers are in employment or further study within fifteen months of graduating (Graduate Outcomes Survey 2020, HESA).
Get more details
Visit programme websiteProgramme Structure
Modules include:
- Statistics for Data Science
- Networks & Graph Theory
- Representing and Manipulating Data
- Stochastic Processes and Optimisation
- Modelling in Financial and Medical Systems
- Relational and non-Relational Databases
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
- Starting
- Apply before , International
-
You can apply up to a year in advance of your course start date and we accept applications throughout the year.
Language
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Credits
Delivered
Campus Location
- Stirling, United Kingdom
Disciplines
Mathematics Data Science & Big Data Machine Learning View 406 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
- A minimum of a second-class Honours degree, or equivalent, in a numerate subject, e.g. mathematics, physics, engineering, economics; along with some evidence of a mathematical background, such as having taken and passed mathematics modules in at least some of calculus, algebra, statistics and numerical analysis.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents24300 GBP / year≈ 24300 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents11500 GBP / year≈ 11500 GBP / year
Living costs
Stirling
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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 Mathematics and 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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