Taught entirely online, our 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.
This distance learning programme builds on the strength and success of the campus-based MSc Mathematical Finance. You'll develop your skills and competence in mathematical and quantitative finance in a flexible learning environment, suitable for a diverse range of students from across the world.
Our team of dedicated academic staff are leaders in their field, and you'll work closely with them through regular one-to-one online tutorials and supervisory sessions.
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.
Excellent textbooks and friendly tutors allowed me to master quite sophisticated mathematics and excel in most subjects. Interactive lectures just a mouse-click away provided me with opportunity to study at home, on the move, everywhere! The course is a great way to master a complex discipline for people who lead busy lives.Valeriy, MSc Mathematical Finance (online)
Fund Management Company, Australia
This course has built-in flexibility to meet the needs of distance learners from diverse backgrounds, meaning you can study when it suits you.
You'll be learning with internationally-respected academics who have published definitive textbooks with Cambridge University Press and Springer, introducing stochastic processes and mathematical finance to crucial modern concerns such as credit risk.
We teach in two four-month periods in each academic year; October to January and March to July. These teaching periods are each equivalent to the ten-week terms of campus-based courses. We also run two two-week induction periods for new students in September and February.
You'll complete modules to the value of 180 credits, including core taught modules and a dissertation.
The online degree is split into four stages:
You'll need to complete all four stages to achieve the MSc, but you can exit earlier with either a Postgraduate Certificate or Postgraduate Diploma, depending on your progress.
The induction module carries no credits, but introduces you to the basic concepts and theories that you will be working with, as well as teaching and learning using the online system.
Please note, modules may change to reflect the latest academic thinking and expertise of our staff.
You'll be provided with a list of topics to choose from, or you can propose your own topic (subject to approval). Dissertation topics are unique for each student, and are typically based on recent publications in leading journals or preprints by leading researchers in the field of mathematical/quantitative finance.
Previous topics include:
Throughout the dissertation process you'll submit drafts and received detailed written feedback. You'll have regular one-to-one meetings with your supervisor to discuss the drafts and feedback, review progress and provide advice on any problems encountered.
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.
|Part-time, distance learning (18 months)
The fee per stage is £5,860 (stage 1 - Certificate; stage 2 - Diploma; stage 3 - Masters). Each stage takes six months. Fees for subsequent years are subject to confirmation.
stage 1 fee
|Part-time, distance learning (36 months)
The fee per stage is £5,860 (stage 1 - Certificate; stage 2 - Diploma; stage 3 - Masters). Each stage takes 12 months. Fees for subsequent years are subject to confirmation.
stage 1 fee
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.
I found my experience with the MSc programme to be very rewarding. Taking the course helped me to make the transition into quantitative finance coming from a more natural science (mathematical biology) background. I particularly liked the focus and care with which the course approached the mathematics.Ulrich, MSc Mathematical Finance (online)
Head of Data Analytics at Berenberg Asset Management, Germany
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.
You'll make use of our Virtual Learning Environment (VLE), and a range of teaching methods including:
Your regular one-to-one tutorials will make use of screen sharing and handwriting facilities to allow communication in the symbolic language of mathematics. Interactive presentations are used to describe new concepts you will have to learn and problems classes put them into practice. As well as supporting your learning online, the VLE gives you access to the wider community of staff and students in the Mathematics Department, and you'll be able to discuss modules and assignments with your peers through discussion forums.
While you're working on your project and your dissertation you'll have regular online meetings with your academic supervisor who will offer advice and support. We always aim to give you a supervisor with specialist knowledge of the area you're investigating.
No presence on campus is required, but access to suitable hardware, software and a good internet connection are necessary:
We offer a dedicated library service for distance learners and you'll have remote access to all of our relevant electronic library resources.
You'll be assessed by regular coursework assignments throughout each module and a recorded online viva at the end of the Certificate and Diploma stages of the programme. The coursework consists 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.
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. There is also a recorded online viva at the end of the dissertation stage.
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:
The topics studied felt relevant and current, and many of the skills I picked up have become key tools in my professional life. Additionally, the study skills, discipline and time-management capabilities that were crucial to succeeding on the course have also proved invaluable for studies for subsequent professional qualifications.Thomas, MSc Mathematical Finance (online)
Derivatives Trader, London
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 Enginneering, 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 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.
You can start the course in either September and February.
You should indicate whether you want to undertake the 'Fast' stream (18 months) or the 'Standard' stream (36 months). However, to allow maximum flexibility, it is possible to transfer between the streams at the end of each stage.