MSc Computational Finance

1 Year On Campus Masters Program

Kings College London

Program Overview

King's College London offers an MSc in Computational Finance through its highly reputed King's Business School. The one-year intensive course gives students a thorough understanding of financial markets, quantitative methods, and computational techniques, blending finance theory with data science application and programming. The course trains students to model and analyze complex financial systems using the newest technology and algorithms.

  • Curriculum Structure:

    • Foundation core quantitative finance subjects covering stochastic processes, financial derivatives, and risk management.

    • Advanced computing modules covering programming languages like Python, R, and C++, which are central to quantitative analysis.

    • Practical financial econometrics and machine learning modules that cover some of the current tools in data science applied to finance.

    • A final Research Project or Dissertation in which students bring together their learning to apply it to actual financial problems.

  • Accreditation:

    • King's Business School is triple accredited—AACSB, EQUIS, and AMBA—which indicates the international standing of the program and its high academic quality. This prestigious status is a mark of excellence in finance and business education.

  • Campus Location:

    • The programme is delivered on King's iconic Strand Campus, in the heart of London's financial centre. The superb location offers students unparalleled access to key financial institutions, with unlimited opportunities for networking, internships, and exposure to global financial markets.

Experiential Learning (Research, Projects, Internships etc.)

Industry Speaker Events featuring senior practitioners from banking, asset management, and fintech sectors.

  • Group Projects and Case Studies that encourage teamwork and allow students to apply theories to realistic financial problems.

  • Workshops and Tutorials that allow learning through discussion in small groups and one-to-one tuition.

  • Access to research centers in financial regulation and computational finance, encouraging engagement with cutting-edge studies.

  • Competitive scholarships for high performers providing substantial tuition fee discounts.

Progression & Future Opportunities

One-to-one career counselling and planning meetings.

CV writing, interview skills, and job application strategy workshops.

On-campus recruitment events and careers fairs to meet top employers.

  • Employability:

    • Graduates of this MSc are in high demand across the financial sector. Many pursue careers as quantitative analysts, risk managers, financial engineers, and data scientists at top banks, hedge funds, and fintech companies worldwide. Others pursue academia or research roles, leveraging their strong computational and analytical skills.

  • Further Academic Progression:

    • It is feasible for interested individuals to pursue further study, such as PhDs in financial mathematics or quantitative finance, or specialist Master's degrees in Financial Engineering or Machine Learning in Finance, with the support of King's strong research networks.

 

Program Key Stats

£42800
£18150
Sept Intake : 1st Jan


13 %
No
No

Eligibility Criteria

3.5
3 or 4 Years

324
7.0
100
2:1
670
67

Additional Information & Requirements

Career Options

  • Investment analyst
  • portfolio manager
  • asset manager
  • wealth manager
  • private banker
  • hedge fund analyst
  • equity research analyst
  • mutual fund analyst
  • fixed income analyst
  • alternative investments specialist
  • corporate banking associate
  • retail bank manager
  • commercial bank manager
  • credit analyst
  • loan underwriter
  • relationship manager
  • risk analyst
  • treasury analyst
  • trade finance specialist
  • investment banking analyst
  • corporate finance analyst
  • FP&A analyst
  • finance manager
  • business finance partner
  • treasury manager
  • financial controller
  • cost analyst
  • budget analyst
  • internal auditor
  • corporate strategy analyst
  • M&A analyst
  • compliance officer
  • AML specialist
  • fraud analyst
  • regulatory reporting analyst
  • financial crime analyst
  • GRC specialist
  • chartered accountant
  • management accountant
  • auditor
  • tax consultant
  • financial reporting analyst
  • financial consultant
  • business consultant
  • valuation analyst
  • due diligence analyst
  • transaction advisory analyst
  • management consultant
  • fintech product specialist
  • financial data analyst
  • blockchain finance analyst
  • quantitative analyst
  • algorithmic trading analyst
  • data scientist (finance)
  • business analyst (banking/finance IT)
  • insurance analyst
  • and actuarial analyst
  •  

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