Full 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 financial mathematical models, manipulate, analyse and discern the reliability of financial data sets, and be acquainted with industry practice.

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.

Graduates with training in Financial Mathematics can cover upper-level quantitative roles in several sub-sectors such as:

• Quantitative analysis in financial firms and hedge funds
• Risk modelling in banking and insurance
• Computational modelling in fintech
• Research and academia

View All Modules Here

Core Modules

• Stochastic Calculus
• Advanced Financial Models
• Counterparty Credit Risk
• Financial Risk Measurement and Management

Optional Module

• Computational Finance
• Statistical Machine Learning
• Optimization for Machine Learning
• Data Programming with Python
• Data Programming with R
• Introduction to Relational Databases and SQL Programming
• Measure Theory and Integration
• PDEs in Financial Maths
• Big Data Programming
• Advanced Econometrics: Time Series
• Behavioural Economics
• Energy Economics and Policy

​Summer Modules

• Financial Dissertation
• Financial Work Placement

MSc Financial Mathematics (T341) Full Time
EU          fee per year - € 8370
nonEU    fee per year - € 20440

***Fees are subject to change

Tuition fee information is available on the UCD Fees website.

• 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/ 

Faculty Profile

Assistant Professor Adamaria Perrotta, UCD School of Mathematics and Statistics
I have a PhD in Mathematics and I taught Mathematical Analysis with real-world applications for 6 years, which deepened my interest in Applied Mathematics. After that I moved to the financial industry, working for 5 years as a business analyst in the Derivatives Pricing and Risk Management Department of an advisory firm. Since 2016 I have been a lecturer in Financial Mathematics and Computational Finance. My research interests are related to financial mathematical modelling and computational finance.

The following entry routes are available: