Your qualification fit
Four-year Bachelor's special degree from a reputable university (55%+); three-year general degree may be considered (80%+). Course pages may specify more.
Check my qualifications →Edge Hill University · Ormskirk
MSc Data Analytics
Develops data-analysis skills for careers in a data-driven economy, designed for graduates from non-STEM subjects. The programme develops statistics, programming, machine learning, data management and evidence-led decision-making. At postgraduate level, the emphasis is on advanced knowledge, critical evaluation and independent professional or research work.
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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
6.5 overall, no component below 6.0
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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 Edge Hill University
Global Vice-Chancellor's Award of £3,000 for eligible international students on UG, PGT, MBA, PGCE, MRes and PhD programmes (2026/27), plus a £500 discount for paying full tuition before CAS.
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 data-analysis skills for careers in a data-driven economy, designed for graduates from non-STEM subjects. The programme develops statistics, programming, machine learning, data management and evidence-led decision-making. At postgraduate level, the emphasis is on advanced knowledge, critical evaluation and independent professional or research work.
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
- Prepare, analyse and communicate insights from data.
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
- 2:2 or above (or equivalent) in a non-STEM subject
- Sri Lankan qualifications
- Four-year Bachelor's special degree from a reputable university (55%+); three-year general degree may be considered (80%+). Course pages may specify more.
- English (IELTS)
- 6.5 overall, no component below 6.0
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How we help
Support, clearly agreed.
- We check your eligibility and documents.
- We prepare and submit your application to Edge Hill 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 edgehill.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 Edge Hill University before you apply. Global Educational Consultants is an independent consultancy.