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.

View All Modules Here

MSc Financial Mathematics (T349) Part Time
EU          fee per year - € 4800
nonEU    fee per year - € 13860

***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:

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