Thanks for visiting TopUniversities.com today! So that we can show you the most relevant information, please select the option that most closely relates to you.
Thanks for sending your response.
Your input will help us improve your experience.
Thanks for sending your response.
Your input will help us improve your experience.You can close this popup to continue using the website or choose an option below to register in or login.
Challenge yourself with a high-level mix of mathematic and finance disciplines. This mathematically rigorous course is unique in providing training from three top departments at Warwick: Statistics, Mathematics and Warwick Business School. It enables you to develop and apply the quantitative skills in machine learning, computational statistics and mathematical finance used in the financial markets and the finance industry. Build on your strong mathematical background to gain both a deep theoretical and conceptual knowledge of finance, together with the requisite high-level probability, statistics and mathematics, to enable you to undertake advanced quantitative modelling. Lab work will give you hands-on experience of using software packages for simulations and time series analysis, as well as learning programming for quantitative finance in three core languages: Python, C++ and R. Our departments benefit from excellent links to key financial institutions and employers, and this course has benefited from industry recommendations.
Program overview
Main Subject
Finance
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Challenge yourself with a high-level mix of mathematic and finance disciplines. This mathematically rigorous course is unique in providing training from three top departments at Warwick: Statistics, Mathematics and Warwick Business School. It enables you to develop and apply the quantitative skills in machine learning, computational statistics and mathematical finance used in the financial markets and the finance industry. Build on your strong mathematical background to gain both a deep theoretical and conceptual knowledge of finance, together with the requisite high-level probability, statistics and mathematics, to enable you to undertake advanced quantitative modelling. Lab work will give you hands-on experience of using software packages for simulations and time series analysis, as well as learning programming for quantitative finance in three core languages: Python, C++ and R. Our departments benefit from excellent links to key financial institutions and employers, and this course has benefited from industry recommendations.
Admission Requirements
100+
7+
3.3+
To succeed on this course, you will need strong ability in Mathematics and Finance, and some experience in Statistics or Econometrics, typically evidenced by a 2.1 or first in BSc Financial Mathematics (or similar), BSc Mathematics, BSc Statistics or BSc Physics. A clear emphasis in your choice of undergraduate electives on the aforementioned areas will strengthen your application.
While you will, throughout the course, develop all necessary advanced skills, confident foundations in mathematics (in particular sound knowledge of Probability Theory, Linear Algebra and Differential Calculus) are necessary to build on.
31 Jul 2025
12 Months
Sep-2025
Candidates are required to submit references or letter(s) of recommendation for acceptance
Tuition Fee and Scholarships
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
How do I apply for the MSc courses at Warwick Business School
You will be required to submit an application directly to the university. Please see following link on how to apply: https://www.wbs.ac.uk/courses/postgraduate/mathematical-finance/how-to-apply/
MSc Mathematical Finance
Warwick Business School, Coventry, United Kingdom
12 monthsProgram duration
31 Jul, 2025Application Deadline
YesScholarships
FinanceMain Subject Area
Program overview
Main Subject
Finance
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This mathematically rigorous course is unique in providing training from three top departments at Warwick: Statistics, Mathematics and Warwick Business School. It enables you to develop and apply the quantitative skills in machine learning, computational statistics and mathematical finance used in the financial markets and the finance industry. Build on your strong mathematical background to gain both a deep theoretical and conceptual knowledge of finance, together with the requisite high-level probability, statistics and mathematics, to enable you to undertake advanced quantitative modelling. Lab work will give you hands-on experience of using software packages for simulations and time series analysis, as well as learning programming for quantitative finance in three core languages: Python, C++ and R.
Our departments benefit from excellent links to key financial institutions and employers, and this course has benefited from industry recommendations.
Program overview
Main Subject
Finance
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This mathematically rigorous course is unique in providing training from three top departments at Warwick: Statistics, Mathematics and Warwick Business School. It enables you to develop and apply the quantitative skills in machine learning, computational statistics and mathematical finance used in the financial markets and the finance industry. Build on your strong mathematical background to gain both a deep theoretical and conceptual knowledge of finance, together with the requisite high-level probability, statistics and mathematics, to enable you to undertake advanced quantitative modelling. Lab work will give you hands-on experience of using software packages for simulations and time series analysis, as well as learning programming for quantitative finance in three core languages: Python, C++ and R.
Our departments benefit from excellent links to key financial institutions and employers, and this course has benefited from industry recommendations.
Admission Requirements
To succeed on this course, you will need strong ability in Mathematics and Finance, and some experience in Statistics or Econometrics, typically evidenced by a 2.1 or first in BSc Financial Mathematics (or similar), BSc Mathematics, BSc Statistics or BSc Physics. A clear emphasis in your choice of undergraduate electives on the aforementioned areas will strengthen your application.
While you will, throughout the course, develop all necessary advanced skills, confident foundations in mathematics (in particular sound knowledge of Probability Theory, Linear Algebra and Differential Calculus) are necessary to build on.
Tuition Fee and Scholarships
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
More programs from the university
Business and Management (1)
MSc Accounting & Financial Management
MSc Accounting & Financial Management
MSc Accounting & Sustainability
MSc Accounting & Sustainability
MSc Business & Finance
MSc Business & Finance
MSc Business Analytics
MSc Business Analytics
MSc Business with Consulting
MSc Business with Consulting
MSc Business with Marketing
MSc Business with Marketing
MSc Business with Operations Management
MSc Business with Operations Management
MSc Finance
MSc Finance
MSc Finance & Economics
MSc Finance & Economics
MSc Financial Technology
MSc Financial Technology
MSc International Business
MSc International Business
MSc Management
MSc Management
MSc Management of Information Systems & Digital Innovation
MSc Management of Information Systems & Digital Innovation
MSc Marketing & Strategy
MSc Marketing & Strategy
MSc Mathematical Finance
MSc Mathematical Finance
Executive MBA (4)
Executive MBA
Executive MBA
Executive MBA (London)
Executive MBA (London)
Full-Time MBA (4)
Full Time MBA
Full Time MBA
Online/Distance MBA (4)
Global Online MBA
Global Online MBA
Global Online MBA (London)
Global Online MBA (London)
Part-Time MBA (4)
Accelerator MBA (London)
Accelerator MBA (London)
Frequently Asked Questions