Your qualification fit
Relevant Bachelor's degree: CGPA 2.8/4.0 for 2:2-equivalent courses, 3.2/4.0 for 2:1, 3.6/4.0 for First-class
Check my qualifications →Aston University · Birmingham
MSc Data Science
Covers machine learning, statistical modelling, Bayesian analysis, neural networks and data visualisation, with a dissertation project. Aimed at graduates with a maths or computing background; an optional professional practice route extends it to 22 months.
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Open budget planner →Funding informationThis university has scholarship information recorded.
Explore funding →Sri Lankan student planning
Four checks before you shortlist this course.
Use these as an early planning guide. We will confirm the exact university rules for your qualification and intake before you apply.
IELTS or an alternative
6.0 overall, 5.5 in each band
See English options →Scholarship possibilities
Scholarship or tuition-discount information is recorded for this university; eligibility may depend on course and intake.
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Plan for tuition, visa fee, Immigration Health Surcharge, required maintenance funds, travel and your first accommodation costs.
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This tool is an early planning guide, not an offer, admissions decision or visa assessment. The university decides admission after reviewing your complete application.
Scholarship information
Potential funding at Aston University
Undergraduate International Community Scholarship worth £9,000 over three years (competitive, application-based), a £4,000 PG International Community Scholarship for deposits paid by the offer deadline, and competitive Sir Adrian Cadbury Chancellor's Scholarships of £10,000 (amounts for September 2026 entry).
Eligibility, value, availability and deadlines are decided by the university. Confirm the award for this exact course and intake before relying on it.Programme overview
A clearer look at MSc Data Science
Covers machine learning, statistical modelling, Bayesian analysis, neural networks and data visualisation, with a dissertation project. Aimed at graduates with a maths or computing background; an optional professional practice route extends it to 22 months.
This 12-month postgraduate route concentrates on data preparation, exploration and visualisation, statistical modelling and machine-learning methods, turning complex evidence into useful decisions. A placement or professional-experience option is recorded, which can help connect academic learning with workplace practice when available.
Course focus
What you can expect to explore
- Data preparation, exploration and visualisation
- Statistical modelling and machine-learning methods
- Turning complex evidence into useful decisions
- Machine learning and intelligent systems
Skills development
Capabilities you can build
- Python or analytical programming
- Statistical reasoning
- Data visualisation
- Model evaluation and communication
The balance of technical, academic and professional skills depends on the modules and assessments offered for your intake.
Learning experience
How you may learn
- Applied work such as case studies, workshops, projects or problem-based tasks.
- Independent postgraduate study, critical reading and a dissertation or major project where required.
- A placement or professional-experience route is recorded; its length, availability and eligibility should be confirmed for the selected intake.
Who is this course for?
A strong fit for students who enjoy combining programming, statistics and problem-solving to extract meaning from complex data. Entry requirements still determine eligibility, and students should compare the official module list with their own career goals before applying.
Career direction
Where it may lead
Relevant career directions may include:
- Data scientist
- Data analyst
- Business intelligence analyst
- Machine-learning or analytics specialist
These are examples, not guaranteed outcomes. Employment depends on your experience, location, professional registration where applicable and the modules completed.
Course contents
Check the official curriculum.
We could not reliably extract stable course contents from the public course page. Use the official curriculum link below rather than relying on an invented or outdated list.
Continue to the university curriculum
Review the current compulsory and optional modules for your intended intake before applying.
Entry requirements
Can I apply?
- Academic
- UK 2:2 honours degree or international equivalent (Sri Lanka: CGPA 2.8/4.0)
- Sri Lankan qualifications
- Relevant Bachelor's degree: CGPA 2.8/4.0 for 2:2-equivalent courses, 3.2/4.0 for 2:1, 3.6/4.0 for First-class
- English (IELTS)
- 6.0 overall, 5.5 in each band
- English alternatives
- Sri Lankan O/L English grade B accepted as IELTS 6.5 equivalent and grade C as IELTS 6.0 equivalent; MOI letters accepted from Colombo, Moratuwa, Sri Jayewardenepura and Peradeniya universities
Not sure you qualify? Send us your results — we’ll tell you honestly, free.
How we help
Support, clearly agreed.
- We check your eligibility and documents.
- We prepare and submit your application to Aston University.
- We help you meet any offer conditions and get your CAS.
- We guide your Student visa application.
Your initial consultation is free. Any paid professional support begins only after you receive and accept a written service summary explaining the work, fee and terms.
More Data Science & AI courses at Aston University
- MSc Artificial IntelligenceMaster's · 1 year · £24,800/yr
- MSc Business AnalyticsMaster's · 1 year · £25,500/yr
Similar courses at other universities
Course information checked October 2026 from the official course page on aston.ac.uk. The expanded description is original GEC guidance built from the recorded course summary, award level and subject; it does not reproduce a university or partner listing word for word. Exact modules, teaching, assessment, professional recognition, fees, entry requirements and intakes can change. We confirm the latest details with Aston University before you apply. Global Educational Consultants is an independent consultancy.