Students
Tuition Fee
GBP 33,100
Per year
Start Date
Medium of studying
On campus
Duration
12 months
Details
Program Details
Degree
Masters
Major
Actuarial Science | Applied Mathematics | Applied Statistics
Area of study
Mathematics and Statistics
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 33,100
Intakes
Program start dateApplication deadline
2025-09-01-
About Program

Program Overview


Financial Mathematics MSc

Key information

Duration: 12 months


Attendance mode: Full-time


Location: Bunhill Row, Central London


Start of programme: September 2025


Application deadline: Rolling applications


Entry year: Showing course information for 2025


Overview

The MSc in Financial Mathematics at Bayes Business School is tailored for quantitatively strong graduates with a passion for applying advanced mathematics to real-world financial problems. Whether your academic background is in mathematics, physics, statistics, engineering, computer science, finance, or economics, this programme offers the depth and flexibility to support your transition into the world of quantitative finance.


This course is ideal for career starters or early-career professionals looking to break into finance—no previous work experience is required. If you're motivated to understand the mechanics of pricing models, risk management systems, or algorithmic trading strategies, you'll find this programme offers both the theoretical foundation and the practical tools.


You will be well-prepared for roles as a quantitative analyst, risk manager, or financial data scientist, as well as for further academic study such as a PhD in financial engineering or mathematical finance. The curriculum combines rigorous training in stochastic calculus, derivatives pricing, and computational methods with hands-on experience in industry-standard coding languages including Python, Matlab, and C/C++.


Course objectives

The MSc in Financial Mathematics programme focuses on mathematical concepts used by quants, including stochastic modelling, simulation techniques and econometrics. Students will learn about asset pricing, risk management, and different financial securities, including equities, fixed income and derivatives.


Teaching staff

The teaching staff on the MSc in Financial Mathematics have many years of practical experience working in the financial services sector and are also active researchers in their fields.


Course content

Pre-Study and Induction weeks

Before your program begins, you'll be required to complete a series of online pre-study modules, designed to set you up for success. These include Fundamentals of Python, Mathematics, Probability and Statistics.


Term 1

  • Asset Pricing
  • Derivatives
  • Foundations of Econometrics
  • Stochastic Modelling Methods in Finance

Term 2

  • Fixed Income
  • Risk Analysis
  • Advanced Stochastic Modelling
  • Simulations Techniques and Financial Modelling

Term 3

You will be able to tailor your degree in the third term by choosing electives to complete your education.


Assessment methods

  • Course work
  • Examinations
  • Presentation
  • Groupwork
  • Problem sets

Term dates

Term dates 2025/26

  • Induction: 15th September 2025 - 26th September 2025
  • Term one: 29th September 2025 - 12th December 2025
  • Term one exams: 5th January 2026 - 16th January 2026
  • Term two: 19th January 2026 - 3rd April 2026
  • Term two exams: 20th April 2026 - 1st May 2026
  • Term three - international electives: 4th May 2026 - 15th May 2026
  • Term three: 18th May 2026 - 3rd July 2026
  • Term three exams: 6th July 2026 - 17th July 2026
  • Resits: 10th August 2026 - 21st August 2026
  • Additional resit week - tests only: 24th August 2026 - 28th August 2026

Careers

The MSc in Financial Mathematics equips you for a variety of careers in finance and related areas, in the UK and around the world. Graduates go on to successful careers in quant roles, traditional finance roles and data science & analytics roles or work involving developing pricing models for large financial firms.


Fees & funding

International fee

September 2025 entry


£33,100


Tuition fees are subject to annual change.


UK/Home fee

September 2025 entry


£26,500


Tuition fees are subject to annual change.


Entry requirements

  • A UK upper second class degree or above, or the equivalent from an overseas institution, in a highly quantitative programme such as mathematics, statistics, physics, engineering, finance, economics or computer science
  • Work experience is not a requirement of this course.

English language requirements

If you have been studying in the UK for the last three years it is unlikely that you will have to take an English language test.


If you have studied in the UK at degree level for less than three years (e.g. 3+1, 2+1, 2+2, etc.) you will be required to provide the results of an approved English language test and possibly resit the test to meet our academic entry requirements.


Full list of approved English language tests/qualifications and minimum requirements.


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