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Imperial College London · London

BSc Economics, Finance and Data Science

UndergraduateEconomics

Combines rigorous economics and finance with data science and its applications, taught within Imperial Business School. Aimed at students heading for finance, policy or data-driven business careers.

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Plan the full costTuition pre-filled, with GBP and indicative LKR totals.

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Funding informationThis university has scholarship information recorded.

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Sri Lankan student planning

Four checks before you shortlist this course.

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

Sri Lankan national school qualifications are not listed among Imperial's accepted UG qualifications; courses typically require A-levels (A*AA to A*A*A) or IB 39–41.

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02English evidence

IELTS or an alternative

7.0 overall, 6.5 in each element (Imperial 'higher' level)

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03Funding

Scholarship possibilities

Scholarship or tuition-discount information is recorded for this university; eligibility may depend on course and intake.

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04Full financial plan

Beyond the tuition fee

Plan for tuition, visa fee, Immigration Health Surcharge, required maintenance funds, travel and your first accommodation costs.

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Free preliminary check

Could this course fit your profile?

Answer four quick questions. Nothing is submitted or stored until you choose to contact GEC.

This tool is an early planning guide, not an offer, admissions decision or visa assessment. The university decides admission after reviewing your complete application.

Scholarship information

Potential funding at Imperial College London

For 2027 entry Imperial is offering at least 300 Imperial Inspires scholarships worth £15,000 per year for international (Overseas-fee) students on undergraduate and selected postgraduate taught courses in Engineering, Natural Sciences, Medicine and the Business School.

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 BSc Economics, Finance and Data Science

Combines rigorous economics and finance with data science and its applications, taught within Imperial Business School. Aimed at students heading for finance, policy or data-driven business careers.

This 36-month undergraduate 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 study and progressively more complex assignments or projects.
  • 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.

24 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.

  1. 01
    Final Project: Questions and MethodsPublished course content
  2. 02
    Final Project: ReportPublished course content
  3. 03
    Topics in Emerging TechnologiesPublished course content
  4. 04
    I-Explore: Choose options from other departments at ImperialPublished course content
  5. 05
    Advanced Machine Learning​Published course content
  6. 06
    Advanced Macroeconomics​Published course content
  7. 07
    Behavioural and Experimental InsightsPublished course content
  8. 08
    Big Data for Economic Growth and DevelopmentPublished course content
  9. 09
    Economics and Finance of Climate ChangePublished course content
  10. 10
    Derivatives and Structured ProductsPublished course content
  11. 11
    Development EconomicsPublished course content
  12. 12
    Financial Engineering and Stochastic CalculusPublished course content
  13. 13
    Health Economics​Published course content
  14. 14
    Industrial organisation​Published course content
  15. 15
    Investment and Portfolio ManagementPublished course content
  16. 16
    Mergers, Acquisitions and Private EquityPublished course content
  17. 17
    Association of MBAs (AMBA)Published course content
  18. 18
    Association to Advance Collegiate Schools of Business (AACSB)Published course content
  19. 19
    European Quality Improvement System (EQUIS)Published course content
  20. 20
    Lectures and tutorialsPublished course content
  21. 21
    Final projectPublished course content
  22. 22
    Teaching and learning methodsPublished course content
  23. 23
    Computing labsPublished course content
  24. 24
    Independent learningPublished course content

Source checked 19 October 2026. Titles are shown as concise factual course information; the university remains the authoritative source.

View official course contents

Entry requirements

Can I apply?

Academic
A*AA at A-level, or 39 points IB
Sri Lankan qualifications
Sri Lankan national school qualifications are not listed among Imperial's accepted UG qualifications; courses typically require A-levels (A*AA to A*A*A) or IB 39–41.
English (IELTS)
7.0 overall, 6.5 in each element (Imperial 'higher' level)

Not sure you qualify? Send us your results — we’ll tell you honestly, free.

How we help

Support, clearly agreed.

  1. We check your eligibility and documents.
  2. We prepare and submit your application to Imperial College London.
  3. We help you meet any offer conditions and get your CAS.
  4. 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

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Course information checked October 2026 from the official course page on imperial.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 Imperial College London before you apply. Global Educational Consultants is an independent consultancy.