Mathematics courses

About Financial Mathematics And Machine Learning Msc in Queen Mary University of London

You will gain a clear understanding of modern financial mathematics and machine learning, together with a range of numerical and computational techniques (many state-of-the-art) that form an important part of the toolkit of a typical practitioner.

The programme structure is flexible, so you can choose to focus on computational or mathematical modules, depending on your background, interests and future plans. 

You will receive a comprehensive introduction to the field, including the structure of financial instruments and the operations of the markets, foundations of mathematical modelling in finance, tools for machine learning using Python, and introductory computer programming in C++.

You will go on to explore subjects such as pricing complex financial derivatives using a variety of mathematical models and techniques for managing risk, as well as advanced computational finance, including writing programs to price exotic derivatives using stochastic volatility and jump-diffusion models. 

You can also broaden your skills with unassessed courses on LaTeX (for document preparation), as well as extra-curricular workshops on programming in Excel/VBA and "modern" C++.

We offer all students the opportunity to take useful additional qualifications, including Microsoft Office Specialist, as well as qualifications in Excel and Bloomberg Market Concepts.

​​​Academic qualification equivalents

• A bachelor degree with related subject

English language requirements (one of the below):

• IELTS :6.5 overall including 6.0 in Writing, and 5.5 in Reading, Listening and Speaking. 
• TOEFL IBT: 92 overall including 21 in Writing, 18 in Reading, 17 in Listening and 20 in Speaking.
• PTE: 62 overall including 57 in Writing, and 51 in Reading, Listening and Speaking.

Queen Mary University Of London Highlights

Queen Mary University of London Average Tuition Fees And Other Expenses

The cost of attendance for the 2020/2021 academic session is presented on the table below

Note: Fee payment in installments is available

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