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Overview

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.

This course covers a broad range of subjects related to the mathematical modelling of financial markets and the pricing and hedging of financial securities. The course equips you with the necessary theoretical, mathematical and computational skills needed to pursue a career in quantitative finance. If you are a competitive student looking for a career in finance that will use your quantitative talents to the full, this is the course for you.

For graduates wishing to pursue further the theoretical dimension to the discipline, the curriculum content 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 part-time basis, thus enabling 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  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

24 months*

Part-Time Programme Duration

September 2020

Starting

Class Profile

Based on 3 year average

34

Class size

24

Average Age

34%/66%

Females/Males

6

Nationalities

49%

International class %

The Smurfit Experience

Want to find out more?  Watch the videos below to gain deeper insight into the programme and campus life.

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