If you have a strong interest in Mathematics, enjoy problem solving and are interested in how Mathematics is used in business and finance, this degree in Financial Mathematics will give you an understanding of the mathematical theories that underpin financial models, as well as computational expertise in the algorithms used to price financial products. One example of a financial model included in the course is the Black-Scholes option pricing model, dating from 1973, which is one of the earliest equations developed and used to price options. Implementations of financial models, including computer programming, form a key part of the course.
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For more information regarding this course, please click School of Mathematics and Statistics
This is a sample pathway for a degree in Financial Mathematics. Sample topics include probability theory, statistical modelling, computational finance, fundamentals of actuarial and financial mathematics, advanced corporate finance, risk management and machine learning.
Statistics • Applied & Computational Mathematics • Mathematics • Optional Science modules • Elective module
Applied & Computational Mathematics • Mathematics • Statistics • Finance • 1 other Science subject • Elective modules
Financial Mathematics (modules include Advanced Computational Finance, Stochastic models, Corporate Finance) • Elective modules
Financial Mathematics (modules include Financial and Actuarial Mathematics, Probability Theory, Risk Management)
Timetables & Assessment
Each student will have their own timetable based on their individual module selection. This is a full-time course and classes may include lectures, practicals and tutorials, depending on the subjects. Students will also be expected to study independently (autonomous student learning). Assessment varies with each module but may comprise continuous assessment of practicals, written exams and online learning activities.
Graduates with training in Financial Mathematics work in fields as diverse as:
- Quantitative positions in international financial companies
- Risk modelling in banking and insurance
- Computing in business, technology, research and academia
Graduates can also pursue a range of MSc or PhD programmes such as the MSc in Actuarial Science, MSc in Financial Mathematics, MSc in Statistics or an MSc in Data Analytics.
Students may apply to study abroad for a trimester in third year in partner institutions internationally.
"When I came to the UCD Open Day and saw the beautiful science building and how friendly everyone was, my mind was made up right away. When I learned about Financial Mathematics, it sounded like the perfect way to continue to study mathematics while also combining it with my interest in financial markets. I was also lucky enough to get to go abroad for my third year to UC Berkeley in California, which was an amazing experience. Studying at a different institution gave me another perspective and I think it’s really helped me in my final year. I also completed an internship in the summer between third and fourth year at Credit Suisse and was able to earn credits as part of the professional placement module. After graduating, I went back to work at the same firm full time."
Joseph Mulligan, Graduate