Your qualification fit
Typically equivalent of a UK 2:1; a four-year Special Bachelor degree with 60% can be considered for master's entry
Check my qualifications →University of Bristol · Bristol
MSc Data Science
Teaches the computational and statistical foundations of data science, including large-scale data engineering, machine learning, visual analytics and ethics, ending with a project. Co-designed with industry and taught at the Temple Quarter Enterprise Campus; suits numerate graduates aiming to be data scientists or engineers.
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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
Profile C: 6.5 overall with 6.5 in all skills
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Scholarship or tuition-discount information is recorded for this university; eligibility may depend on course and intake.
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Scholarship information
Potential funding at University of Bristol
Think Big scholarships for overseas-fee students: undergraduate awards of £6,500 or £13,000 per year (up to four years) and postgraduate awards of £6,500, £13,000 or £26,000 for the first year; 2026 applications closed on 10 April 2026.
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
Teaches the computational and statistical foundations of data science, including large-scale data engineering, machine learning, visual analytics and ethics, ending with a project. Co-designed with industry and taught at the Temple Quarter Enterprise Campus; suits numerate graduates aiming to be data scientists or engineers.
This 12-month postgraduate route concentrates on data preparation, exploration and visualisation, statistical modelling and machine-learning methods, turning complex evidence into useful decisions. The course record does not promise a placement, so students should judge it primarily by its curriculum, teaching approach and project opportunities.
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.
- Assessment may combine coursework, reports, presentations, examinations or projects; the exact balance is set by the university.
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
- Strong 2:1 (65%+) or equivalent in a numerate science, computer science or engineering; other quantitative subjects (e.g. economics, finance, physics, psychology) also considered
- Sri Lankan qualifications
- Typically equivalent of a UK 2:1; a four-year Special Bachelor degree with 60% can be considered for master's entry
- English (IELTS)
- Profile C: 6.5 overall with 6.5 in all skills
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How we help
Support, clearly agreed.
- We check your eligibility and documents.
- We prepare and submit your application to University of Bristol.
- 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 University of Bristol
- MSc Artificial IntelligenceMaster's · 1 year · £36,700/yr
- BSc Data ScienceUndergraduate · 3 years · £32,500/yr
Similar courses at other universities
Course information checked October 2026 from the official course page on bristol.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 University of Bristol before you apply. Global Educational Consultants is an independent consultancy.