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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...
Read more 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. Read less
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...
Read more 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. Read less
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
Scholarships
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