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Four-year Bachelor's degree from a recognised Sri Lankan higher education institution
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MSc Data Science & Artificial Intelligence
Covers machine learning, computational modelling, computer vision, natural language processing and edge AI using tools such as Python, TensorFlow and Spark, ending in an independent masters project. Suits computing, maths or engineering graduates aiming for data science and AI roles; January starters take 16 months.
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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
6.0 overall, minimum 5.5 in each component
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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 Bournemouth University
International postgraduate taught applicants are automatically considered for the Academic Excellence Scholarship (£4,500, for a 2:1/first-class equivalent) or the Academic Achievement Scholarship (£2,000), for September 2026 and January 2027 entry. Undergraduate international scholarships are also offered.
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 & Artificial Intelligence
Covers machine learning, computational modelling, computer vision, natural language processing and edge AI using tools such as Python, TensorFlow and Spark, ending in an independent masters project. Suits computing, maths or engineering graduates aiming for data science and AI roles; January starters take 16 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. 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
- Practical, laboratory, studio, simulation or supervised activities where appropriate to the discipline.
- 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
- Bachelor's Honours degree 2:2 in computing, computer science, maths, statistics, physics, electronic engineering, data science/analytics or a subject with significant maths and computing content
- Sri Lankan qualifications
- Four-year Bachelor's degree from a recognised Sri Lankan higher education institution
- English (IELTS)
- 6.0 overall, minimum 5.5 in each component
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How we help
Support, clearly agreed.
- We check your eligibility and documents.
- We prepare and submit your application to Bournemouth 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.
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Course information checked October 2026 from the official course page on bournemouth.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 Bournemouth University before you apply. Global Educational Consultants is an independent consultancy.