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- 00 - General Content
- 01 - Schema Data
- 02a - Course Title
Mathematical Finance MSc
- 02b - Short Description
Mathematical Finance MSc. Gain advanced quantitative skills for global finance with expert teaching in maths, statistics, and markets.
A
- A0 - Info Blocks
Postgraduate Taught
- A1 - Course Code
P-N3G2
- A2 - Start Date
27 September 2027
- A3 - Study Location
University of Warwick
- A4 - Qualification
Master of Science (MSc)
- A5 - Department
Warwick Business School
- A6 - Duration
1 year full-time
C
- C0 - Course Overview
- C1 - Course Overview - Introduction
Develop advanced quantitative expertise for global finance.
Mathematics lies at the core of financial markets – and you can build the quantitative expertise to forge a career at the heart of the industry. Our rigorous MSc is delivered by two of Warwick's top departments - Statistics and Warwick Business School - giving you access to the latest theory and practice in mathematical finance.
- C2 - Course Overview - Image

- C3 - Course Overview - Testimonial
D
- D0 - Modules
- D1 - Introduction
Build advanced quantitative and analytical expertise for careers in finance and financial technology.
- Mathematical finance expertise: uncover the newest quantitative theory and practice through specialist modules
- Machine learning and computational statistics: advanced skills for data-driven financial decision-making
- Quantitative finance programming: strengthen your technical skills in C++, Python and R
- Specialist financial knowledge: understand advanced theory and practice through specialist modules in quantitative finance.
- D2 - Modules - General
These are indicative optional modules which may vary year-on-year.
Read the module descriptions for this course on the Warwick Business School website.
- D2 - Modules - QUAL-2
- D2 - Modules - QUAL-3
- D2 - Modules - QUAL-4
- D2 - Modules - QUAL-5
E
- E0 - Teaching and Learning
- E1 - Teaching and learning Intro
You’ll combine rigorous mathematical study with practical, industry-focused learning.
- Interdisciplinary teaching: learn from experts across Warwick Business School and the Statistics department, at a university ranked among the top 40 globally for Accounting and Finance in the QS World University Rankings by Subject 2026.
- Research-led learning: engage with advanced quantitative theory and contemporary financial practice
- Technical skill development: build programming and analytical expertise through practical quantitative finance applications
- Career-focused support: careers coaching and professional development through our MSc CareersPlus & Employer Relations service.
- E2 - Class sizes
The typical class size for this course is around 28 students.
- E3 - Contact hours
Students on this MSc will typically receive 27 contact hours per module.
- E4 - Assessment
Over three terms you will complete seven core modules, and two optional modules of your choice. Assessment of these modules consists of a mixture of project work and examinations. Your studies will be completed by your Dissertation.
F
- F0 - Entry Requirements
- F1 - Minimum requirements
2.1 degree at undergraduate level from a UK university, or overseas equivalent. You will need strong ability in mathematics and finance, and some experience in statistics or econometrics.
- F4 - English Language Requirement
Band B
IELTS overall score of 7.0, minimum component scores of two at 6.0/6.5 and the rest at 7.0 or above.
- F5 - Additional requirements
There are no additional entry requirements for this course.
G
- G0 - Fees and scholarships
H
- H0 - About the Department
I
- I0 - Careers
- I1 - Departmental Careers Information
Graduates from these courses have gone on to work for employers including:
- Hamilton
- Optiver
- Rothko.
They have pursued roles such as:
- Investment Banking Analyst
- Quantitative Investment Analyst
- Trading Risk Analyst.
Learn more about graduate destinations in our MSc Employment Report.Link opens in a new window
J
- J0 - Life at Warwick
- J1 - Life at Warwick - Day in the life department
K
- K0 - Why Warwick
M
- M0 - Updates page
- M1 - Updates