University of York - MSc Mathematical Finance

University of York - MSc Mathematical Finance

Part of our suite of uniquely interdisciplinary finance Masters programs

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Location
York, UK
Join an established course which has been serving students for over a decade. Our team of dedicated academic staff are leaders in their field, publishing their research in leading academic journals.

Mathematical Finance (MSc) is part of our suite of uniquely interdisciplinary finance Masters programmes. They bring together expertise from the Department of Mathematics, the Department of Economics and Related Studies and the School for Business and Society.

Our syllabus includes contemporary tools, methods and approaches to tackle applied, professional and academic challenges in accounting and finance.
2024 Ranking Data
Peer Score
3.1
Cohort Size
14 FT
Acceptance Rate
80.5%
Tuition
£32,260

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2,561
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Ratings

3.50 star(s) 2 reviews 4.00 star(s) Students Quality 3.50 star(s) Courses/Instructors 1.50 star(s) Career Services
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S
Headline
Worthwhile content but poor delivery
Class of
2024
While teaching the same basic content and mathematical tools as elsewhere, the delivery of two modules is by the economics department- who were awful lecturers compared to the lecturers from the mathematics department - who themselves were not great, one being particularly awful.

The programming module was excellently delivered however.


The university careers service is non-existent, but I'm not sure whether it can be expected to know anything about the quantitative finance industry.
Recommend
No, I would not recommend this program
Students Quality
4.00 star(s)
Courses/Instructors
2.00 star(s)
Career Services
1.00 star(s)
Upvote 0 Downvote
lourano.x
Headline
UoY Mathematical Finance
Class of
2024
The MSc in Mathematical Finance at York is a fantastic pick for anyone looking to crush it as a quantitative researcher or dive deep into tough financial maths, even if it’s not as famous as some London schools for quant stuff.

From the beginning, you might be hit with measure-theoretic probability, quickly realising that the material here is no joke—this is far from playing in a sandbox.

When you dive into stochastic calculus, you might find the proof of Ito's Lemma in one-dimensional settings is tough, but this is just the start.

If you're willing to grind through the dissertation stage, you'll find that proving Ito's Lemma is only the beginning, as you might tackle finding some kind of viscosity solutions to your SDE for real quant trading problems.

However, the dissertation stage is based on your own hustle—it's up to you whether you struggle with these advanced topics or just chill on stochastic volatility models.

Don’t expect the UoY maths department to land you a seven-figure salary straight out of the gate. But if you put in the effort all year and learn the key points how to break into the industry, you might likely find your place even before you finish the degree.
Recommend
Yes, I would recommend this program
Students Quality
4.00 star(s)
Courses/Instructors
5.00 star(s)
Career Services
2.00 star(s)
Upvote 1 Downvote
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