MSc in Quantitative Finance

Duration	12 Months
Level	Masters Program

To successfully complete the Quantitative Finance course, students must have a good understanding of mathematics.
Students may well have studied finance, economics, engineering or maths or physics as an undergraduate. Or might have a bachelor’s degree in a science subject, in particular computer science.
Students will study core modules focusing on asset pricing, risk management and introductions to key financial securities such as equities, fixed income securities and derivatives.
This course cover basic and advanced topics in econometrics including ARCH and GARCH models, co-integration and dealing with high frequency data.
Students will choose five from around 40 optional modules in your final term.
Students can also choose to complete a traditional dissertation, which counts for four optional modules, or a shorter ‘applied research project’, which is the equivalent of two optional modules.

Class 12th	No specific cutoff mentioned
Bachelors	No specific cutoff mentioned A UK upper second class degree or above, or the equivalent from an overseas institution. The 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
Exams	IELTS: 7 Minimum of 6.5 in the writing section and no less than 6.0 in any other section. PTE: 69 Minimum of 62 in Writing and no less than 60 in any other section

Class 12th

No specific cutoff mentioned

Bachelors

No specific cutoff mentioned

A UK upper second class degree or above, or the equivalent from an overseas institution.
The 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

Exams

IELTS: 7

Minimum of 6.5 in the writing section and no less than 6.0 in any other section.

PTE: 69

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