Course options
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Qualification
MSc - Master of Science
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Location
University Park Campus
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Study mode
Full time
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Start date
21-SEP-26
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Duration
1 Year
Course summary
Course overviewThe course teaches advanced financial mathematics combined with computational techniques. You'll learn mathematical techniques and skills that are used across the financial sector to quantify and hedge risk. The programme uses modern machine learning techniques for you to learn how to apply them to computational and financial mathematics. This provides hands-on experience using some of the latest software tools and libraries, as used by leading organisations from the industry.This MSc at Nottingham can provide many career opportunities in sectors including:investment and commercial bankingquantitative and actuarial analysishedge fund managementresearch in academia and industryCourse structureThe programme includes teaching expertise from the School of Mathematical Sciences and the School of Economics. You will study core modules including:Financial MathematicsComputational Applied Mathematics,Scientific Computing and C++Choose optional modules such as Statistical Machine Learning or Economics of Corporate Finance to suit your interests. Expert teaching staff will support you and guide you through your written dissertation.A highlight of the course is our partnerships with leading industry and academic experts. The panel includes individuals from Credit Suisse, Oxford University and other organisations, to ensure the degree remains relevant and up to date with changes in quantitative finance.Representatives from companies such as Bloomberg, Capital One, HSBC and PwC also provide guest lectures during the year.
Application deadline
24/08/2026
Modules
Tuition fees
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£ 33,000per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
University of Nottingham
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University League Table
26th
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Campus address
University of Nottingham, University Park, Nottingham, Nottingham, NG7 2RD, England
Subject rankings
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Subject ranking
21st out of 65 6
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Entry standards
/ Max 244169 69%22nd
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Graduate prospects
/ Max 10086.0 86%17th
9 -
Student satisfaction
/ Max 43.09 77%46th
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