Our exciting and intensive MSc in Mathematical Finance will give you the skills you need to work in the financial sector and adapt quickly to new developments in the field.
Join an established course which has been serving students for over a decade. Our team of dedicated academic staff are leaders in their field. They publish definitive textbooks with Cambridge University Press and Springer, introducing stochastic processes and mathematical finance to crucial modern concerns such as credit risk.
Our course features on RiskNet.
If you'd like to study this course but feel the need to revise and consolidate your mathematics background before starting, we offer an online pre-sessional course: Mathematical Foundations of Quantitative Finance.
Dusa McDuff seminar room exclusively for Masters students
You'll complete modules to the value of 180 credits, including all core taught modules, three option modules, a group project and a dissertation. Option modules are subject to availability and may vary from year to year.
* You must choose either C++ Programming with Applications in Finance, or Computational Finance
Please note, modules may change to reflect the latest academic thinking and expertise of our staff.
Mathematical Finance Dissertation (60 credits)
Mathematical Finance Group Project (10 credits)
Every course at York is built on a distinctive set of learning outcomes. These will give you a clear understanding of what you will be able to accomplish at the end of the course and help you explain what you can offer employers. Our academics identify the knowledge, skills, and experiences you'll need upon graduation and then design the course to get you there.
|Full-time (1 year)||£11,720||£23,450|
Students on a Tier 4 Visa are not currently permitted to study part-time at York.
UK/EU or international fees? The level of fee that you will be asked to pay depends on whether you're classed as a UK/EU or international student.
Discover your funding options to help with tuition fees and living costs.
If you've successfully completed an undergraduate degree at York you could be eligible for a 10% Masters fee discount.
You can use our living costs guide to help plan your budget. It covers additional costs that are not included in your tuition fee such as expenses for accommodation and study materials.
You’ll work with world‐leading academics who’ll challenge you to think independently and excel in all that you do. Our approach to teaching will provide you with the knowledge, opportunities, and support you need to grow and succeed in a global workplace.
Our teaching is informed by the latest research, meaning you can focus on the latest ideas and models.
We use a wide range of teaching methods to suit different learning styles including:
For some modules you may also attend practical classes, computer laboratories or workshops.
Lectures are used to describe new concepts you will have to learn and problems classes put them into practice. Seminars are small, interactive sessions which allow us to focus on your individual needs. You'll be able to use our Virtual Learning Environment to supplement lectures and seminars.
While you're working on your project and your dissertation you'll have regular meetings with your academic supervisor who will offer advice and support. We will give you a supervisor with specialist knowledge of the area you're investigating.
You will be based in the Department of Mathematics in James College on Campus West. Most of your small group teaching will take place in the Department's dedicated MSc seminar room (the Dusa McDuff room), with larger classes taking place close by in James College, Derwent College and elsewhere on Campus West.
Our beautiful green campus offers a student-friendly setting in which to live and study, within easy reach of the action in the city centre. It's easy to get around campus - everything is within walking or pedalling distance, or you can always use the fast and frequent bus service.
All taught modules are assessed by a combination of the following types of assessment:
The closed book written exam assesses your subject-specific knowledge through theoretical and practical questions, in an array of targeted and broad, open-ended problems. These require topic knowledge and the ability to recognise, compare and critically evaluate different knowledge areas.
The coursework and projects consist of problems and practical tasks that might require the use of software. You'll develop your subject knowledge and analytical skills as well as your ability to apply, implement and interpret theory.
Presentations are specifically designed to enhance your communication skills for a range of audiences, from subject experts to the general public.
In the independent study module, you'll conduct a piece of applied research. You'll continue to develop your critical reasoning and digital literacy skills, including programming. As this module is assessed with a dissertation, your training is rounded off by consistently working on your written communication skills.
Upon successful completion of this course, you can embark on careers in trading and pricing derivative financial securities (options, futures, forwards, and the like), fund management, risk management, research and development, or pursue further study to PhD level.
Our graduates go on to work in:
Find out more about career opportunities and .
You should hold (or expect to achieve) an honours degree at 2:1 or equivalent in Mathematics or a related subject (including certain science degrees). We will also accept a 2:2 honours degree in a mathematically-based discipline if you complete the online pre-sessional course Mathematical Foundations of Quantitative Finance with a final grade of at least 60%.
Mathematically-based disciplines include Mathematics, Physics, Statistics, Chemistry, Computer Science, Electronics or Engineering, but candidates with a sufficiently strong mathematical background from other areas such as Biology, Economics or Finance will also be considered.
We are looking for a minimum of two years (four semesters or six trimesters) of university level courses in mathematics. We welcome students with recent degrees as well as those with work experience in related disciplines and professions.
If English isn't your first language you may need to provide evidence of your English language ability. We accept the following qualifications:
For more information see our postgraduate English language requirements.
You may be eligible for one of our pre-sessional English language courses. These courses will provide you with the level of English needed to meet the conditions of your offer.
The length of course you need to take depends on your current IELTS scores and how much you need to improve to reach our English language requirements.
After you've accepted your offer to study at York, we'll confirm which pre-sessional course you should apply to via You@York.
You can apply and send all your documentation electronically through our online system. You don’t need to complete your application all at once: you can start it, save it and finish it later.
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