Bachelor of Science in Financial Mathematics
University of Limerick
Key Information
Campus location
Limerick, Ireland
Languages
English
Study format
On-Campus
Duration
4 years
Pace
Full time
Tuition fees
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Application deadline
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Earliest start date
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Introduction
Bachelor of Science in Financial Mathematics
The aims of the degree are to produce graduates with developed mathematical, statistical and computing skills, and the ability to apply them to the quantitative analysis of industrial, commercial or financial business decisions.
The programme also aims to produce graduates with sufficient mathematical, statistical and computing skills for them to undertake postgraduate work in these or related areas
These aims give rise to the following objectives:
- To provide an education at a suitable level in the appropriate branches of mathematics, both by exploring and developing standard methods and techniques with due use of mathematical, symbolic and statistical computing packages and by having due regard to the fundamental ideas of proof, rigour and generalisation.
- To introduce you to state of the art theory and methodologies in the world of pricing of financial products and modelling of markets and the practical implementations of these models.
- To demonstrate the application of mathematics to problems drawn from industry, commerce and financial services.
- To provide you, through Cooperative Education placement, with experience of working in a company or department where your own developing skills can be utilised.
Admissions
Scholarships and Funding
Several scholarship options are available. Please check the university website for more information.
Curriculum
Year 1
Semester 1
- Computer Software 1
- Calculus 1
- Mathematics Laboratory
- Linear Algebra 1
Semester 2
- Computer Software 2
- Calculus 2
- Further Linear Algebra
- Introduction to Probability and Statistics
Year 2
Semester 3
- Finance
- Methods of Linear Analysis
- Probability Models
- Ordinary Differential Equations
- Vector Analysis
Semester 4
- Intro to Numerical Analysis
- Applied Data Analysis
- Operations Research 1
- Partial Differential Equations
- Theoretical Mechanics
Year 3
Semester 5
- Complex Analysis
- Linear Algebra 2
- Statistical Inference
- Advanced Data Analysis
- Fundamentals of Financial Mathematics
Semester 6
Cooperative Education
Year 4
Semester 7
- Project 1
- Stochastic Processes
Semester 8
- Project 2
- Stochastic Differential Equations for Finance
- Mathematical and Statistical Models of Investments
- Time Series Analysis
Program Outcome
NFQ Level 8 major Award Honours Bachelor Degree
Employability skills from this degree
- Numeracy and the ability to research, interpret and use business and financial data
- Advanced numeracy and analysing large quantities of data
- Logical thinking
- Teamwork and the ability to work independently
- Finding patterns and drawing conclusions
- Approaching problems in an analytical and rigorous way
- Formulating theories and applying them to solve problems
- Dealing with abstract concepts
- Presenting mathematical arguments and conclusions with accuracy and clarity
- Masters in Finance
- MSc in Financial Services
- MSc in Mathematical Modelling
Program Tuition Fee
Career Opportunities
- Claims Manager
- Credit Risk Technology
- Data Analyst
- Investment Data Analyst
- Operations Analyst
- Planning Resource Analyst
- Redress Assessor
- Researcher
- Technical Services Engineer
- Treasury Assistant