MSc Financial and Computational Mathematics

Programme Structure
 

• Part I of the programme comprises 60 credits of taught modules.
• Part II comprises a dissertation in Financial and Computational Mathematics worth 30 credits.

Part I
 

Core Modules

• 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

• MF6016  Dissertation in Financial and Computational Mathematics (30 credits)
   

Note: Module selection must be approved by the module coordinator.
 

You can find the full academic content for this programme at University Calendar (Financial & Computational Mathematics).
 

Modules

Further details on the modules listed above can be found in our Book of Modules. Any modules listed above are indicative of the current set of modules for this course but are subject to change from year to year.

• 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 Co-ordinator.

 

Minimum Requirements and Accepted English Language Tests & ExaminationsThe minimum English language entry requirements for admission onto a postgraduate programme at UCC are outlined below. These requirements are for postgraduate applicants whose first language is not English. If Gaeilge (Irish) is your first language these requirements do not apply to you.There are a small number of programmes with a higher minimum English language entry requirement and we list these below under Programmes with a Higher Minimum English Language Requirement.IELTS*  
 

• 6.5 Overall
• 6.0 Individual Skills (academic version)
   

TOEFL iBT  

• 90 Overall
• Listening 20
• Reading 19
• Speaking 21
• Writing 20

Fees and Costs

• The EU fee for this course is €8,130.
• The Non-EU fee for this course is €18,500.
   

Deposits

If your course required a deposit, that figure will be deducted from your second semester fee payment in January.
 

EU student fee payment

Fees for EU students are payable in two equal instalments. First payment at registration in August and the second in January.
 

International student fee payment

International Students can pay in two equal instalments once they have paid the appropriate deposit. The initial payment is due on registration and the balance usually by the end of January.

Past graduates of this programme have been recruited to roles in quantitative finance (China Reinsurance Corporation, Quaternion Risk Management/Acadia Inc., Kroll Bond Ratings Agency), and some have moved on to SFI-funded study at PhD level in the application of machine learning to finance. This programme will prepare you for a broad selection of roles in the financial services sector and particularly in quantitative finance, financial engineering, and investment analysis. 
 

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.