Financial & Computational Mathematics

University College Cork

Financial & Computational Mathematics

Course Outline

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.

Subjects taught

Programme Structure

Part I (60 credits)

Core Modules (45 credits)

MF6010 Probability Theory in Finance (10 credits)

MF6011 Derivatives, Securities, and Option Pricing (5 credits)

MF6012 Computational Finance I (5 credits)

MF6013 Computational Finance II (5 credits)

MF6014 Topics in Financial Mathematics (5 credits)

MF6015 Continuous-Time Financial Models (5 credits)

AM6004 Numerical Methods and Applications (5 credits)

CS6322 Optimisation (5 credits)

Elective Modules (Choose 15 credits)

AM4062 Applied Stochastic Differential Equations (5 credits)

AM6007 Scientific Computing with Numerical Examples (5 credits)

AM6019 Partial Differential Equations (5 credits)

ST4400 Data Analysis II (5 credits)

ST6040 Machine Learning and Statistical Analytics I (5 credits)

ST6041 Machine Learning and Statistical Analytics II (5 credits)

CS6503 Introduction to Relational Databases (5 credits)

Part II (30 credits)

MF6016 Dissertation in Financial and Computational Mathematics (30 credits)

Entry requirements

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.

Application dates

Closing Date

Rolling deadline. Open until all places have been filled. Early application is advised.

Assessment Info

A variety of assessment methods are used during this course. In addition to the traditional end-of-year written examinations, you will undertake a series of individual and group assignments and projects during the year in the areas of both management accounting and information systems.

In addition, an applied research project is undertaken in groups by all students during the second teaching term, culminating with a series of group presentations to leading industry experts who in turn provide invaluable feedback and advice to each student group.

The IS6215 Business Research and Communications Skills module (10 credits), which forms part of the course syllabus, is an invaluable tool for you in preparing for such presentations.


1 year full-time.

Enrolment dates

Start Date 9 September 2024

Post Course Info

Skills and Careers Information

Graduates will be prepared for quantitative roles in the financial services sector and particularly in investment banking, including roles in financial engineering, quantitative finance, investment analysis, and fund management. The programme also serves as a route to further study in this area.

More details
  • Qualification letters


  • Qualifications

    Degree - Masters (Level 9 NFQ)

  • Attendance type

    Full time,Daytime

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    Course provider