Financial Mathematics MSc
City St George's, University of London
Student rating
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( 3.8)

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Qualification

MSc - Master of Science

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Location

Bunhill Row

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Study mode

Full Time

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Start date

SEP-26

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Duration

1 Year

Course info

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Qualification

MSc - Master of Science

Location

Bunhill Row

Study mode

Full Time

Start date

SEP-26

Duration

1 Year

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Qualification

MSc - Master of Science

Location

Bunhill Row

Study mode

Full Time

Start date

SEP

Duration

1 Year

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Mathematics
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Course info

OverviewWho is it for?Interested in learning more about financial market and some of the mathematical techniques which are applied, in particular stochastic modelling? In our MSc in Financial Mathematics programme, you will focus on the tools that allow you to develop pricing models, learn about different financial securities and how they are used in risk management or asset management.Consequently, emphasis is given to stochastic modelling and simulation techniques. You will also acquire a ...Read more

OverviewWho is it for?Interested in learning more about financial market and some of the mathematical techniques which are applied, in particular stochastic modelling? In our MSc in Financial Mathematics programme, you will focus on the tools that allow you to develop pricing models, learn about different financial securities and how they are used in risk management or asset management.Consequently, emphasis is given to stochastic modelling and simulation techniques. You will also acquire a sound knowledge of econometrics, asset pricing, risk management and key financial securities such as equities, fixed income securities and derivatives. Finally, you will master advance programming skills in Python, Matlab and VBA. The MSc in Financial Mathematics programme focuses on mathematical concepts used by quants, including stochastic modelling, simulation techniques and econometrics. Students will learn about asset pricing, risk management, and different financial securities, including equities, fixed income and derivatives.You will be taught Python and Matlab during terms 1 and 2, and you will have the opportunity to learn VBA in the elective term.

Key stats

  IDP Connect
CUG Subject Ranking
CUG Subject Ranking
Source: Complete University Guide 2026
47th
CUG Ranking
CUG Ranking
Source: Complete University Guide 2026
53rd

Modules

Modules (Term 1)
Modules (Term 2)
Modules (Term 3)
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Entry requirements

A UK upper second class degree or above, or the equivalent from an overseas institution. Your academic background should be in a highly quantitative subject such as mathematics, physics, engineering, economics or computer science and having covered areas such as statistics, linear algebra and calculus. Work experience is not a requirement of this course.

Tuition fees

Students living in

Domestic

£26,500 per year

This information is updated by IDP Connect, or in some cases the institution directly.
Please note: The fees might vary so please make sure you contact the institution for up to date information.

Students from Domestic

This is the fee you pay if the University is in the same country that you live in (England, Scotland, Wales, Northern Ireland)

This is the fee you pay if the University is in the same country that you live in (England, Scotland, Wales, Northern Ireland)

£33,100 per year

This information is updated by IDP Connect, or in some cases the institution directly.
Please note: The fees might vary so please make sure you contact the institution for up to date information.

Students from International

The amount you'll pay if you come to study here from a country outside the EU.

The amount you'll pay if you come to study here from a country outside the EU.

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Uni info

City St George's, University of London
City St George's, University of London , London

City St George's, University of London is a leading institution, ranked 38th in the UK (Complete University Guide 2025)....

Student rating
( 3.8) View reviews
CUG ranking
53rd
City St George's, University of London
106 Bunhill Row London England EC1Y 8TZ United Kingdom
Nearest tube station: Barbican  0.2 miles away Nearest train station: Barbican  0.2 miles away
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