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MSc Financial Technology

Imperial College Business School
Program overview
1 year
Full time
Master's degree
Scholarships available
Start dates
September 2022

September 2023

September 2024

About this program

MSc Financial Technology

The MSc Financial Technology is a one-year full-time programme providing graduates with in-demand quantitative and analytical skills, including coding and programming capabilities, necessary to embark on a successful and exciting career in fintech or in the financial services sector.

Our wide range of electives is continually updated to enable you to tailor your learning and match your career aspirations.

Our London location and ongoing relationships with major employers in the finance sector provides the opportunity to meet and network with leading global organisations and will help present yourself with confidence to the world's top companies.

Admission requirements

To apply for MSc Financial Technology, you should have a First or Upper Second Class Honours undergraduate degree from a recognised university or the international equivalent in a quantitative discipline such as:

  • Engineering
  • Computer Science
  • Mathematics
  • Economics
  • Finance
  • Science

Good programming skills using languages such as C++, SQL, Java, R or Python will add weight to your application. You can provide details of your experience in the software packages and programming languages section of the application form.

There are no specific 'A' Level criteria, but many banks and companies in the financial sector have very strict grade requirements for their graduate programmes. We strongly recommend that you research the entry requirements of any companies you are interested in working for.

Prerequisite knowledge requirements

MSc Financial Technology is a highly quantitative programme and therefore all students commencing the programme are expected to be proficient in probability, calculus, matrix algebra and real analysis.

You should use the Quantitative Experience Statement' on the application form to list the most advanced quantitative courses that you have taken in your academic career to date and to provide brief examples of the relevant topics covered by the programme.

Most applicants meet the requirement in one of the following ways:

  • IELTS (academic): A minimum score of 7.0 with minimum scores of 6.5 in all elements. The IELTS indicator test will be accepted for admissions to the 2020/21 academic year.
  • TOEFL iBT: A minimum score of 100 overall with minimum scores of 22 in all elements. The ETS at Home test will be accepted for admission to the 2020/21 academic year.
  • Duolingo English Test: 125 Overall with no less than 115 in any band score
  • Degree studied in and awarded by an English-speaking country and successful performance in an English language interview, conducted by the Business School's Global Skills Consultants, which would be arranged if you receive an offer.

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Program content

Throughout the autumn, spring and summer terms, you will study core modules across key areas to build on previous experience while introducing new and challenging disciplines.

Accounting and Corporate Finance

Corporate finance is at the heart of investment banking and crucial to running a successful business in any sector. In this module you cover all the key elements of company finance, valuation and risk management. You will learn to understand how to assess individual investment projects, value companies, and evaluate the sources of finance available to companies.

Big Data in Finance I

Over the past few years, there has been an explosion of interest in the use of large datasets and new empirical techniques to make financial decisions of all kinds. In this elective we examine how the combination of large datasets, empirical techniques including machine learning, and insights from behavioural finance are helping in making more efficient financial decisions. Two areas in which progress has been especially rapid are credit analytics (predicting default in personal loans, mortgages, and firms), and asset management. This elective focuses on these specific markets, considering them from supply, demand, and regulatory perspectives. You will build empirical models to illustrate important concepts throughout the elective.

Block Chain and Applications

Through this module, you will gain an understanding of the core value proposition of blockchain technology and how its etymology drives the new zeitgeist.

You will also learn the canonical technology (Bitcoin & Ethereum), their challenges along with current thinking about how to overcome them, while also gaining insight on raising capital from and valuing the token-based economy.

Ethics and Professional Standards in Finance (Online Module)

This module will to introduce you to corporate responsibility and professional standards for financial analysts. You will be taken through a review of the key factors and responsibilities for ethical practice in finance. There are eight sections in total for students to complete. Each section will include video commentary, a web-based lecture, suggested readings, practical examples and discussion questions to test the key concepts learned in that section.

Financial Econometrics in R/Python

This module builds on the introductory module and introduces basic programming in R to perform statistical analysis using the R Studio editor. You will apply your skills to empirical finance applications like stock market predictability using different factors from the literature. The module will also build on basic programming skills in Python to perform similar analysis but also as applied to financial modelling like options pricing and financial modelling.

Investments and Portfolio Management

This module provides you with a critical understanding of techniques used for investments and portfolio management. The teaching is accompanied by case studies and realistic practical examples that you will solve each week using programming software such as R. By the end of the module you will be able to implement trading strategies and portfolio construction methods in a wide range of assets.

Mathematics for Finance

The aim of this module is to introduce students to the theory of asset pricing and relevant mathematical tools. Throughout this module you will learn to demonstrate comprehensive knowledge of the fundamental concepts in asset pricing, such as state prices, arbitrage, payoff replication, and risk-neutral pricing. Furthermore, you will learn to evaluate the key concepts in individual decision-making and market equilibrium, as they relate and give rise to asset prices.

Scholarships & funding

Several scholarship options are available. Please visit the institute website for more information.


The cost of tuition for this program is £39,000 for all students.

Career paths

We expect our graduates will go into technology-driven roles across the finance sector such as analysts, developers, data scientists and software engineers

About this institute

Imperial College Business School

At Imperial College Business School, we offer undergraduate, postgraduate and MBA programs to inspire intelligent and creative minds from a diverse range of backgrounds to be the world’s future business leaders. As part of Imperial College London, a global leader...

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