MSc in Computational Finance, Royal Holloway University of London

Egham,

12 Months

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About this course

The MSc in Computational Finance at Royal Holloway is designed to develop your expertise in modern quantitative finance and computational methods for financial modeling. Offered by the Department of Computer Science and the Department of Economics, this course prepares you for careers in asset structuring, product pricing, and risk management by equipping you with skills in analyzing, evaluating, and applying computational finance techniques. You will learn to work with machine learning algorithms, data analysis tools, and software platforms such as MATLAB and R, all while understanding the theoretical foundations of finance and computer science. The course features strong industry links and the option for a one-year full-time program or a two-year program including a year in industry, aiming to enhance your employability in a competitive global market.

Why this course is highly recommended

This course is ideal for students interested in the high-demand field of computational finance, with a focus on practical skills and industry relevance. Its close proximity to ‘England’s Silicon Valley’ offers excellent networking possibilities, and the course’s research-led teaching by world-leading academics enhances its value. Graduates benefit from excellent employability prospects, with many alumni securing positions in top companies across the finance, technology, and consulting sectors.

Specialisation

Students can specialise in the core areas of modern quantitative finance and computational methods, focusing on topics such as financial modeling, derivatives pricing, and risk assessment, with opportunities to explore machine learning applications and advanced data analysis techniques.

Course fees

Application fees

1st year tuition fees

27.55L

Living cost

Degree requirements

Applicants are expected to have a UK 2:1 honours degree or equivalent in fields such as Computer Engineering, Computing, Computer Science, Software Engineering, or Economics, especially those with strong elements of Maths, Physics, or Engineering. Candidates with relevant professional experience or qualifications may also be considered.

English language test

PTE

TOEFL

DUOLINGO

120

IELTS

6.5

Career prospects

Graduates from this program are in high demand worldwide, with excellent salary prospects compared to other IT roles. Opportunities include roles in asset management, risk assessment, data analysis, and software development within financial institutions, technology companies, and research organizations. The course’s industry links and campus networking events facilitate strong connections to leading employers such as Amazon, JP Morgan, Google, and Microsoft.

FAQs

What are the application deadlines?

The deadline for overseas applicants is 31 July 2025, and for home applicants, it is 29 August 2025.

What are the English language requirements?

The required scores are IELTS 6.5 overall with no subscore lower than 5.5, Pearson PTE 61 overall with no subscore below 51, TOEFL iBT 88 overall, or Duolingo 120 overall with no sub-score below 100.