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MSc Data Science
London, United KingdomReview MSc Data Science at Queen Mary University of London through curriculum, eligibility, application process, cost and London life.Published 16 September 2026Course facts, costs and fit
Course purpose
Develops statistical modelling, visualisation, machine learning, deep learning and large-scale data processing through taught modules and a research project.
Check this against my profileCourse application process
Build a complete decision for MSc Data Science at Queen Mary University of London
- 01Course fit review
Connect previous study and experience to the current curriculum and prerequisites.
Decision quality - 02Eligibility evidence
Normally a UK 2:1 or equivalent in electronic engineering, computer science, software engineering, information technology or a related discipline; a good 2:2 may be considered individually. IELTS 6.5 overall with 6.0 in writing, listening, reading and speaking, or an accepted Band 4 equivalent.
Academic check - 03Application file
Prepare transcripts, award evidence, passport, CV, statement and references in the required format.
Evidence check - 04Confirm and consent
Approve the exact recipient and data scope only after the course and file are ready.
Student controlled
Complete decision
What MSc Data Science at Queen Mary University of London asks of your profile and budget
Academic and English threshold
Normally a UK 2:1 or equivalent in electronic engineering, computer science, software engineering, information technology or a related discipline; a good 2:2 may be considered individually. IELTS 6.5 overall with 6.0 in writing, listening, reading and speaking, or an accepted Band 4 equivalent.
- Degree and subject mapping
- Marks and backlog review
- English score and test validity
Application-ready evidence
The final list follows the current university application rule.
- Transcripts and award certificate
- Passport, CV and statement
- References and additional course evidence
London, United Kingdom
Queen Mary's Mile End campus offers a campus-led routine inside east London. The academic access is substantial, while housing choice and commute remain decisive parts of the family budget.
- Housing and commute scenario
- Arrival and setup plan
- Complete first-year family budget
What you will build
The reviewed curriculum points to these core areas. Modules can change by cycle.
- Probability and statistics
- Machine learning and deep learning
- Big-data processing and a research project
Where it can point
These are curriculum-supported directions, not employment guarantees.
- Data scientist
- Machine learning researcher
- Data engineering and business analytics roles
What must be verified
Resolve live availability before money or records move.
- Current international intake status
- Final tuition, deposit and scholarship terms
- Applicant-specific academic and English equivalence
Course questions
What to verify before applying for MSc Data Science
Am I eligible?
The published threshold is a starting point. Higher-Study maps your exact institution, marks, subject background and English evidence.
Is the displayed fee final?
No. Confirm the live fee, deposit and scholarship terms before commitment.
Does this course guarantee a job?
No. Outcomes depend on the student, labour market, immigration conditions and employer decisions.
Can I add this to my plan?
Yes. Sign in to check profile fit, compare alternatives and prepare the decision record before records move.
Official course evidenceUse the university page as the final factual reference
One course, tested properly