MSc in Quantitative Finance

Duration	12 Months
Level	Masters Program

This course is designed to give quantitative students a foothold in this financial world with the advanced, specialist skills that employers are seeking
This course is ideal for students, who have a high level of mathematical ability, a background in a subject such as maths, engineering, physics or another highly quantitative subject and wish to move into finance
Students will learn from their peers as they join Masters’ students from other disciplines such as Accounting and Finance, Management Science, Mathematics, or Economics for each module
Graduates of this course leave with a complete toolkit of skills, from big data mining techniques to Python programming
Students will also have the chance to work with our careers team and access the global alumni network

Class 12th	No specific cutoff mentioned
Bachelors	60.0% Applicants must have a 2:1 Hons degree (UK or equivalent) in a numerate subject such as Physics, Mathematics, Statistics, Management Science, Engineering Familiarity at the undergraduate level with topics such as probability and statistics, calculus and linear algebra is essential It is recommended for the applicant's previous studies to have covered the following modules: Maths – Calculus, Probability Statistics, Linear Algebra (Matrices) Physics Econometrics Game Theory Risk Theory Operations Research Complex Functions Stochastic Processes Signal Processing Actuarial Science Simulation Computer Science and Engineering At least 3 years of bachelor's degree is required At least 60% overall, with at least 55% in each year (year 2 onwards)
Exams	IELTS: 7 With a minimum of 6.0 in each element of the test PTE: 65 With a minimum of 50 in each component of the test

Class 12th

No specific cutoff mentioned

Bachelors

60.0%

Applicants must have a 2:1 Hons degree (UK or equivalent) in a numerate subject such as Physics, Mathematics, Statistics, Management Science, Engineering
Familiarity at the undergraduate level with topics such as probability and statistics, calculus and linear algebra is essential
It is recommended for the applicant's previous studies to have covered the following modules:
- Maths – Calculus, Probability
- Statistics, Linear Algebra (Matrices)
- Physics
- Econometrics
- Game Theory
- Risk Theory
- Operations Research
- Complex Functions
- Stochastic Processes
- Signal Processing
- Actuarial Science
- Simulation
- Computer Science and Engineering
At least 3 years of bachelor's degree is required
At least 60% overall, with at least 55% in each year (year 2 onwards)

Exams

IELTS: 7

PTE: 65

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