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Four-year special/professional bachelor's degree with GPA 2.7/4 (or B), or three-year general degree with GPA 3.0/4 (or B).
Check my qualifications →Teesside University · Middlesbrough
MSc Data Science
Builds specialist data science skills such as analytics and machine learning, taught by staff from the university's machine intelligence research group. Aimed at graduates who want data analyst or data scientist careers. January starts run 16 months including a summer break.
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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 band below 5.5
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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 Teesside University
The Vice Chancellor's Scholarship gives a one-off £7,000 first-year fee waiver to outstanding international applicants; a £1,000 alumni scholarship is available to international students progressing to postgraduate study.
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
Builds specialist data science skills such as analytics and machine learning, taught by staff from the university's machine intelligence research group. Aimed at graduates who want data analyst or data scientist careers. January starts run 16 months including a summer break.
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
Published course content for this programme.
7 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.
- 01Big Data and Business IntelligencePublished course content
- 02Computing Masters ProjectPublished course content
- 03Data VisualisationPublished course content
- 04Interactive VisualisationPublished course content
- 05Machine LearningPublished course content
- 06Research MethodsPublished course content
- 07Statistical Methods for Data AnalyticsPublished course content
Entry requirements
Can I apply?
- Academic
- First degree (minimum 2:2) in a related discipline such as computing, computer science or AI, or relevant experience/equivalent qualifications.
- Sri Lankan qualifications
- Four-year special/professional bachelor's degree with GPA 2.7/4 (or B), or three-year general degree with GPA 3.0/4 (or B).
- English (IELTS)
- 6.0 overall, no band 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 Teesside 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 tees.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 Teesside University before you apply. Global Educational Consultants is an independent consultancy.