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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.

In the Autumn and Spring Trimesters, you will take a mixture of face-to-face and online modules.
In the Summer Trimester, you will have the opportunity to apply for 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.

What Will I Learn?

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.

Career & Graduate Study Opportunities

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