Your qualification fit
Bachelor Special degree, or Bachelor professional degree with 2:2 or GPA 2.3/4.0 (C+) or above, or Bachelor General degree with 2 years' work experience
Check my qualifications →Edinburgh Napier University · Edinburgh
MSc Artificial Intelligence and Data Science
Covers applied artificial intelligence and data science techniques and how to use them to solve practical problems across different industries. Suits graduates aiming for data analyst, data scientist or AI-focused roles.
Check your fitMatch your level, budget, intake and preferences.
Use course matcher →Plan the full costTuition pre-filled, with GBP and indicative LKR totals.
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, no component below 5.5 (university standard for taught degrees)
See English options →Scholarship possibilities
Scholarship or tuition-discount information is recorded for this university; eligibility may depend on course and intake.
Check funding →Beyond the tuition fee
Plan for tuition, visa fee, Immigration Health Surcharge, required maintenance funds, travel and your first accommodation costs.
Calculate my UK budget →Free preliminary check
Could this course fit your profile?
Answer four quick questions. Nothing is submitted or stored until you choose to contact GEC.
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 Edinburgh Napier University
The South Asia Scholarship (for self-funded applicants from Sri Lanka, India, Bangladesh and Nepal) is worth £3,000 for one-year postgraduate courses, £1,000 for two-year postgraduate courses and £2,000 for undergraduates; awards are limited.
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 Artificial Intelligence and Data Science
Covers applied artificial intelligence and data science techniques and how to use them to solve practical problems across different industries. Suits graduates aiming for data analyst, data scientist or AI-focused roles.
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 (Honours) degree at 2:2 or above in any discipline, with at least 30% computing-related modules (or 2 years' programming/computing work experience)
- Sri Lankan qualifications
- Bachelor Special degree, or Bachelor professional degree with 2:2 or GPA 2.3/4.0 (C+) or above, or Bachelor General degree with 2 years' work experience
- English (IELTS)
- 6.0 overall, no component below 5.5 (university standard for taught degrees)
- English alternatives
- An approved English language test is required
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 Edinburgh Napier 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.
Similar courses at other universities
Course information checked October 2026 from the official course page on napier.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 Edinburgh Napier University before you apply. Global Educational Consultants is an independent consultancy.