Financial & Computational Mathematics (MSc) 12 months Postgraduate Programme By University College Cork |TopUniversities

Financial & Computational Mathematics (MSc)

Subject Ranking

# 501-530QS Subject Rankings

Programme Duration

12 monthsProgramme duration

Tuitionfee

18,900 EURTuition Fee/year

Main Subject Area

MathematicsMain Subject Area

Programme overview

Main Subject

Mathematics

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Our postgraduate Financial and Computational Mathematics programme equips graduates with the skills necessary to pursue a successful career in quantitative finance. Modern financial technology is based upon sophisticated computational techniques for the modelling of asset and market movements, and the valuation of financial derivatives. This course provides a solid grounding in computational finance along with machine learning techniques and includes a team-based research project with opportunities to work with our industry partners.

Past graduates of this programme have been recruited to risk management (Acadia, China Reinsurance Corporation), regulatory (FinTru, KBRA), and wealth managment/investment roles (Fidelity). They have also progressed to SFI-funded study at PhD level in the application of machine learning to finance. This programme will prepare you for a broad spectrum of roles in the financial sector and particularly in quantitative finance, risk analysis, and investment banking.

Programme overview

Main Subject

Mathematics

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Our postgraduate Financial and Computational Mathematics programme equips graduates with the skills necessary to pursue a successful career in quantitative finance. Modern financial technology is based upon sophisticated computational techniques for the modelling of asset and market movements, and the valuation of financial derivatives. This course provides a solid grounding in computational finance along with machine learning techniques and includes a team-based research project with opportunities to work with our industry partners.

Past graduates of this programme have been recruited to risk management (Acadia, China Reinsurance Corporation), regulatory (FinTru, KBRA), and wealth managment/investment roles (Fidelity). They have also progressed to SFI-funded study at PhD level in the application of machine learning to finance. This programme will prepare you for a broad spectrum of roles in the financial sector and particularly in quantitative finance, risk analysis, and investment banking.

Admission Requirements

90+
176+
2.7+
63+
6.5+
  • Candidates must have obtained at least a 2.2 degree or equivalent in the mathematical sciences or another quantitative subject.
  • Candidates who have obtained at least a 2.2 honours degree in Engineering or Physics will be considered and should be able to demonstrate to the Course Coordinator some prior experience of probability and statistics, linear algebra, multivariate calculus, ordinary differential equations, and programming.
  • Candidates, for whom English is not their primary language, should possess an IELTS of 6.5 (or TOEFL equivalent) with no less than 6.0 in each individual category.
  • All candidates must be ultimately approved by the Course Coordinator.

1 Year
Sep

Domestic
8,130 EUR
International
18,900 EUR

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

More programmes from the university

Postgrad Programmes 142