Financial Mathematics

MSc Financial Mathematics
Graduate Taught (level 9 nfq, credits 90)

The MSc in Financial Mathematics is designed for students with an undergraduate degree in Mathematics or a related field, who wish to gain a competitive advantage in the financial sector by acquiring the strong mathematical and statistical background demanded by high-level quantitative roles. The proposed programme will equip students with the relevant contemporary knowledge and skills, including new digital innovations such as machine learning with financial applications, computational finance and statistical and data analysis. In the Summer Trimester students will explore their theoretical and applied knowledge in greater depth by completing a dissertation or they will be able to apply their theoretical knowledge to real-world situations via a work placement with a financial firm. Among our industry partners we list: AIB, FINCAD (Zafin Capital Markets Group) and Grant Thornton Advisory, Quantitative Risk.

Who should apply?
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.

Subjects taught

Core Modules

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

Optional Modules

Measure Theory and Integration
PDEs in Financial Maths
Applied Matrix Theory
Time Series Analysis – Act App
Data Prog with Python (online)
Data Prog with R (online)
Behavioural Economics
Scientific Programming Concepts (ICHEC)
Mathematics of Machine Learning
Computational Finance
Statistical Machine Learning (online)
Bayesian Analysis (online)
Categorical Data Analysis
Big Data Programming
Energy Economics and Policy

Summer Modules

Financial Dissertation
Financial Work Placement

Entry requirements

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

Application dates

The following entry routes are available:

MSc Financial Mathematics FT (T341)
Duration 1 Years
Attend Full Time
Deadline Rolling*

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


1 year full-time

Post Course Info

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

More details
  • Qualification letters


  • Qualifications

    Degree - Masters (Level 9 NFQ)

  • Attendance type

    Full time,Daytime

  • Apply to

    Course provider