Your qualification fit
UK 2:1 equivalent: 4-year Bachelor Special or Professional degree, or 3-year General degree, with 60%, 3.3/4.0 or B+. UK 2:2 equivalent: same degrees with 55%, 3.0/4.0 or B
Check my qualifications →Queen's University Belfast · Belfast
MSc Data Analytics
Develops the computing, statistics, modelling and analytics skills used to extract value from large datasets and communicate findings to decision-makers. Suits maths, statistics or computing graduates aiming for data scientist or analyst jobs in software, health, finance and other sectors.
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Open budget planner →Funding informationThis university has scholarship information recorded.
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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, no component below 5.5
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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Scholarship information
Potential funding at Queen's University Belfast
South Asia (including Sri Lanka) students receive automatic awards of £3,500–£4,000 for undergraduates and £2,000–£5,000 for postgraduate taught (excluding Queen's Business School PGT), plus a £1,500 Early Confirmation Award for paying fees in full by the deadline (2026/27 terms).
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 Analytics
Develops the computing, statistics, modelling and analytics skills used to extract value from large datasets and communicate findings to decision-makers. Suits maths, statistics or computing graduates aiming for data scientist or analyst jobs in software, health, finance and other sectors.
This 12-month postgraduate route concentrates on corporate finance and investment decisions, financial markets, risk and valuation, quantitative analysis for business 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
- Corporate finance and investment decisions
- Financial markets, risk and valuation
- Quantitative analysis for business decisions
- Data preparation, exploration and visualisation
Skills development
Capabilities you can build
- Financial modelling
- Investment appraisal
- Risk analysis
- Data-informed decision-making
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 interested in how organisations and markets allocate money, value opportunities and manage financial risk. 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:
- Financial analyst
- Investment analyst
- Corporate finance associate
- Risk or treasury analyst
These are examples, not guaranteed outcomes. Employment depends on your experience, location, professional registration where applicable and the modules completed.
Course contents
Published course content for this programme.
8 curriculum items were captured from the university’s official course page. These may include modules, course units or published curriculum topics, and can change by intake, pathway and availability.
- 01Prof Adele MarshallPublished course content
- 02Written/Practical examinationsPublished course content
- 03Project dissertationPublished course content
- 04Data Analytics FundamentalsPublished course content
- 05Database & Programming FundamentalsPublished course content
- 06Data MiningPublished course content
- 07Machine LearningPublished course content
- 08Frontiers in AnalyticsPublished course content
Entry requirements
Can I apply?
- Academic
- Normally a 2:2 Honours degree in Mathematics, Statistics, Computer Science or a closely related discipline; strong mathematical ability expected (Sri Lanka 2:2 equivalent: 4-year Special/Professional or 3-year General degree with 55%, 3.0/4.0 or B)
- Sri Lankan qualifications
- UK 2:1 equivalent: 4-year Bachelor Special or Professional degree, or 3-year General degree, with 60%, 3.3/4.0 or B+. UK 2:2 equivalent: same degrees with 55%, 3.0/4.0 or B
- English (IELTS)
- 6.0 overall, no component below 5.5
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How we help
Support, clearly agreed.
- We check your eligibility and documents.
- We prepare and submit your application to Queen's University Belfast.
- 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 qub.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 Queen's University Belfast before you apply. Global Educational Consultants is an independent consultancy.