Program Overview
The MSc Financial Mathematics (PT) part-time program equips students with advanced knowledge and skills in quantitative methodologies used in finance. Through core and optional modules, participants gain expertise in financial mathematical theory, computational and statistical analysis, and data interpretation. The program includes a summer work placement or dissertation, preparing students for quantitative roles in investment banks, financial institutions, and other financial-sector organizations.
Program Outline
Degree Overview:
The MSc Financial Mathematics (PT) is a part-time program designed for students seeking a competitive edge in the financial sector by acquiring the knowledge and skills required for quantitative roles. The program provides in-depth instruction in the mathematical theory underlying finance, along with computational and statistical methods.
Objectives:
Upon completion of the program, students will be able to:
- Demonstrate a deep understanding of quantitative methodologies used in investment banks and financial institutions.
- Apply financial mathematical theory and quantitative methodologies to real-world situations.
- Critically evaluate and understand the limitations of financial mathematical models, judging their suitability and understanding industry practices.
- Write and execute computer programs that analyze complex financial systems and data sets.
- Analyze the reliability of financial data sets.
- Generate new knowledge through research.
- Access library and online resources to develop and understand financial mathematical theory and models.
- Continue studying in a largely autonomous manner.
- Train others in the use of financial mathematical models.
Outline:
The program is structured into three trimesters:
Autumn and Spring Trimesters:
- Students take a mix of face-to-face and online modules.
- Core Modules:
- Stochastic Calculus
- Advanced Financial Models
- Counterparty Credit Risk
- Computational or Advanced Computational Finance
- Optional Modules:
- 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
Summer Trimester:
- Students have the opportunity to participate in a summer work placement with a Dublin-based financial firm or complete a dissertation supervised by a faculty member.
Careers:
The program prepares students for quantitative roles in the financial sector, including:
- Investment banks
- Financial institutions
- Hedge funds
- Asset management firms
- Consulting firms
Other:
- The program features an interdisciplinary suite of traditional and online modules that address contemporary topics in financial mathematics.
- The program concludes with a summer work placement opportunity that enables students to apply their theoretical knowledge and digital skills, and develop key professional and transversal skills.
- Curricular information is subject to change.
MSc Financial Mathematics (T349) Part Time EU fee per year - € 5040 nonEU fee per year - € 14550
