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Overview

The MSc in Quantitative Finance provides a rigorous grounding across a wide range of mathematical modelling methods and techniques for financial markets. From the pricing and hedging of financial securities to managing the risk in portfolios of equity, fixed income and derivative securities. A challenging programme, it equips students with the necessary theoretical, mathematical and computational skills needed to pursue a rewarding career in finance. Ambitious students with an educational background in Economics, Finance or STEM (Science, Technology, Engineering, and Mathematics) subjects and with a proven quantitative talent will be ideally suited to this programme. For graduates wishing to pursue further the theoretical dimension to the discipline, the curriculum content also provides the perfect basis for a Ph.D. in Finance.

The course was awarded Risk Management Accreditation by the Professional Risk Managers International Association (PRMIA), confirming the suitability of the course for preparing graduates for a career as professional risk managers. Graduating students obtain exemptions to PRMIA level 1 and 2 exams.

The programme can be undertaken on a full-time or part-time basis. The part-time option enables current professionals with the relevant background to combine working life with study, however this is dependent on students’ employment commitments.  Note that this is not a dedicated part-time programme and that part-time students will be required to attend lectures, tutorials and complete group assignments in conjunction with the full-time cohort, for whom the schedule is primarily during working hours for a block of hours on several days a week.  Modules in autumn trimester will be delivered in a compressed format meaning that modules are taught intensively over two 6 week periods, requiring additional attendance at lectures and tutorials. Employer support is therefore essential.

 

12 Months

Full-Time Programme Duration

90%*

% Employed after 6 months

24 months*

Part-Time Programme Duration

End August 2024

Starting

Class Profile

Based on the class of 2023/2024

23

Class size

23

Average Age

17%/83%

Females/Males

7

Nationalities

61%

International class %

The Smurfit Experience

View our Video Gallery and Webinars On-Demand to gain a deeper insight into our programmes and the student experience. These videos and webinars provide valuable and practical insight as you consider your Business Masters options.

Events

Mar

23

Admissions International Recruitment Fairs

Locations worldwide

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Apr

17

Masters and MBA Virtual Open Evening

Virtual Event

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Discover our Rankings and Accreditations