MSc Financial Mathematics

Graduate Taught (level 9 nfq, credits 90)

The MSc Financial Mathematics (PT) is designed for students who wish to gain a competitive advantage in the financial sector by acquiring the background demanded by upper-level quantitative roles. The programme will provide high-level instruction in the mathematical theory underlying finance and associated computational and statistical methods.



It features an inter-disciplinary suite of traditional and online modules that address contemporary topics in financial mathematics. It concludes with a summer work placement opportunity that enables students to apply their newfound theoretical knowledge and digital skills, and develop key professional and transversal skills.

Curricular information is subject to change


Part Time option suitable for:

Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. Yes

In the Autumn and Spring Trimesters, you will take a mixture of face-to-face and online modules (indicative module list below). In the Summer Trimester, you will have the opportunity to take up a summer work placement with a Dublin-based financial firm, or a dissertation supervised by a member of faculty. Upon completion of the programme, you will be able to understand, critique

and judge the suitability of a number of advanced fi nancial mathematical models, manipulate, analyse and discern the reliability of financial data sets, and be acquainted with industry practice.

Core modules:


 


  • Stochastic Calculus

  • Advanced Financial Models

  • Counterparty Credit Risk

  • Computational or Advanced Computational Finance


  •  


 

Optional modules include


 


  • Financial Risk Measurement and Management

  • Statistical Machine Learning

  • Time Series Analysis

  • Data Programming with Python

  • Data Programming with R

  • Categorical Data Analysis

  • Measure Theory and Integration

  • PDEs in Financial Maths

  • Microeconomics in Business

  • Foundations of Finance

  • Behavioural Economics

  • Energy Economics and Policy

Upon completion of the programme the students will be able to:


 

- demonstrate a deep knowledge of quantitative methodologies needed for jobs in investment banks and financial institutions.


 

- apply financial mathematical theory and quantitative methodologies to real world situations.


 

- critique and understand the limitations of financial mathematical models, judging the suitability of financial mathematical models and understand industry practice.


 

- write and run computer programmes that analyse complicated financial systems and data sets.


 

- analyse the reliability of a financial data set.


 

- generate new knowledge through research.


 

- access library and online resources to develop and understand financial mathematical theory and models.


 

- continue to study in a manner that may be largely autonomous.


 

- train others in the use of financial mathematical models.

MSc Financial Mathematics (T349) Part Time
EU          fee per year - € 4570
nonEU    fee per year - € 13200

***Fees are subject to change

  • The minimum entry requirement will be a 2:1 (or equivalent grade) BSc in Financial Mathematics, Mathematics, Applied and Computational Mathematics, or Statistics.

  • Applicants whose first language is not English must also demonstrate English language proficiency of IELTS 6.5 (no band less than 6.0 in each element), or equivalent.

  • Students meeting the programme’s academic entry requirements but not the  English language requirements, may enter the programme upon  successful completion of UCD’s Pre-Sessional or International Pre-Master’s Pathway programmes. Please see the following link for further information http://www.ucd.ie/alc/programmes/pathways/ 

The following entry routes are available:

MSc Financial Mathematics (T349)
Duration
2 Years
Attend
Part Time
Deadline
Rolling*

* Courses will remain open until such time as all places have been filled, therefore early application is advised