Overview

This Computational Finance MSc from King's College London will provide students with a solid foundation not only in traditional quantitative methods and financial instruments but also scientific computing, numerical methods, high-performance computing, distributed ledgers, big-data analytics and agent-based modelling.

These techniques will be used to understand financial markets from a post-crisis perspective which incorporates findings from the study of financial markets at high-frequency time scales, modern approaches to understanding systematic risk and financial contagion, and disruptive technologies such as distributed-ledgers and cryptocurrencies. The course is highly practical, and students will have the opportunity to apply their learning to real-world data and case studies in hands-on laboratory sessions.

Key benefits

6th in the UK for Computer Science (QS World Rankings by subject 2020).

Research lies at the heart of our department - 92% of research outputs ranked as world leading or internationally excellent in Computer Science (REF 2014).

Friendly and supportive learning environment, with students from across the globe.

Located in central London, you will have easy access to major libraries and leading scientific societies, including the Chartered Institute for IT (BCS) and the Institution of Engineering and Technology (IET).

Career prospects

The Careers Service run tailored sessions for Informatics students and a careers programme which includes skills sessions and visits from top employers.

Some graduates work in cyber security companies, general software consultancy companies, specialised software development businesses and the IT departments of large institutions (financial, telecommunications, and public sector). Recent employers include Hang Seng Bank, Lloyds Banking Group and Merrill Corporation.

Other graduates have entered into the field of academic and industrial research in areas such as machine learning, software engineering, algorithms and computer networks.

Programme Structure

Courses include:

Individual Project

Scientific Computing for Finance

Quantitative Methods in Finance

Industry-Expert Lectures in Finance

Agent Based Modelling in Finance

High-Frequency Finance

Key information

Duration

Full-time
- 12 months

Start dates & application deadlines

Starting 2026-09-28 00:00:00
- Apply before 2026-07-25 00:00:00 , International
- Apply before 2026-08-25 00:00:00 , National

Language

English

TOEFL^® IBT

100

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Credits

180 alternative credits

Delivered

On Campus

Campus Location

London, United Kingdom

Disciplines

Finance Computer Sciences Artificial Intelligence View 379 other Masters in Artificial Intelligence in United Kingdom

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Academic requirements

GPA

Upper Second Class

English requirements

TOEFL^® IBT

100

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PTE Academic

Schedule a PTE test!

IELTS

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Cathoven AI IELTS Preparation

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AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

A Bachelor's degree with a high (minimum of 65%) 2:1 honours (or international equivalent) in Computer Science or another relevant quantitative discipline (such as Mathematics, Statistics, Physics, Natural Science, Electronic Engineering, General Engineering, Operations Research, or a joint degree in two such subjects).

A personal statement of up to 4,000 characters (maximum 2 pages) is required.

A copy (or copies) of your official academic transcript(s), showing the subjects studied and marks obtained.

One academic reference is required. A professional reference will be accepted if you have completed your qualifications over five years ago. In some cases, we may request an additional reference from you.

Applicants may wish to include a CV (Resume) or evidence of professional registration as part of their application.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

40000 GBP / year

≈ 40000 GBP / year
Domestic Applies to you

Applies to you

Citizens or residents

16950 GBP / year

≈ 16950 GBP / year

Living costs

London

United Kingdom

1137 - 2157 GBP / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

Scholarships Information

Below you will find Master's scholarship opportunities for Computational Finance.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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About

Overview

Key benefits

Career prospects

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic Applies to you

Living costs

London

Funding

Scholarships Information

Available Scholarships

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