Adds data science tools for handling and interpreting large datasets to a strong economics foundation. Suits economics or quantitative graduates heading for analytical roles in finance, policy or tech.
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Check your fitMatch your level, budget, intake and preferences.
Use these as an early planning guide. We will confirm the exact university rules for your qualification and intake before you apply.
01Academic route
Your qualification fit
4-year Sri Lankan Bachelor's (Honours/Special): UK 2:1 = B+, Upper Second Class, GPA 3.3/4 or 60%; high 2:1 = GPA 3.6/4; First = A-, First Class, GPA 3.7/4 or 70%. Most courses ask for a First or high 2:1.
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Scholarship information
Potential funding at University of Cambridge
Postgraduate funding for international students comes mainly through Gates Cambridge and the Cambridge Trust, which offer full-cost and partial awards; applicants are considered through the course application if they meet the funding deadline (early December for 2027 entry). Undergraduate funding for international students is very 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 MPhil in Economics and Data Science
Adds data science tools for handling and interpreting large datasets to a strong economics foundation. Suits economics or quantitative graduates heading for analytical roles in finance, policy or tech.
This 9-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
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.
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Continue to the university curriculum
Review the current compulsory and optional modules for your intended intake before applying.
Entry requirements
Can I apply?
Academic
High 2:1 honours degree in economics or a related field (Sri Lanka: GPA 3.6/4)
Sri Lankan qualifications
4-year Sri Lankan Bachelor's (Honours/Special): UK 2:1 = B+, Upper Second Class, GPA 3.3/4 or 60%; high 2:1 = GPA 3.6/4; First = A-, First Class, GPA 3.7/4 or 70%. Most courses ask for a First or high 2:1.
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Course information checked October 2026 from the official course page on postgraduate.study.cam.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 University of Cambridge before you apply. Global Educational Consultants is an independent consultancy.
MPhil in Economics and Data Science at University of Cambridge | Fees & Entry | GEC