Bachelor of Science in Economics and Mathematics
Program Overview
Bachelor of Science in Economics and Mathematics
Overview
The Bachelor of Science in Economics and Mathematics is a four-year, full-time undergraduate degree that combines the study of economics and mathematics. The program is designed to provide students with a strong foundation in both subjects, as well as the ability to apply mathematical and statistical techniques to economic problems.
Entry Requirements
- The entry route to Economics and Mathematics at UL is via LM124 Mathematics Common Entry.
- Students must apply to UL via the CAO.
- More information can be found on the Academic Registry website.
Course Structure
The course is full-time over four years, with the first two years introducing students to the principles of macro- and microeconomics, calculus, and statistics. The final two years concentrate on the development of skills in mathematical modeling, statistical analysis, and econometrics, and their application to a range of problems in economics.
Year 1
- Semester 1:
- MS4021: Calculus 1
- MS4131: Linear Algebra 1
- CE4701: Computer Software 1
- EC4111: Microeconomics
- Electives: Choose one of AC4213: Financial Accounting, PH4051: Measure & Properties of Matter, PH4131: Mechanics/Heat/Electricity/Magnetism, CS4221: Foundations of Computer Science 1, MS4101: Mathematics Laboratory
- Semester 2:
- MS4022: Calculus 2
- EC4102: Macroeconomics
- MS4222: Introduction to Probability & Statistics
- Electives: Choose two of AC4214: Accounting for Financial Decision Making, MS4122: Further Linear Algebra, CE4702: Computer Science 2
Year 2
- Semester 3:
- MS4035: Probability Models
- MS4403: Ordinary Differential Equations
- EC4213: Intermediate Economics
- EC4307: Econometrics
- Electives: Choose two of MS4404: Partial Differential Equations, MS4014: Introduction to Numerical Analysis, MS4034: Applied Data Analysis, MS4303: Operations Research 1
- Semester 4:
- EC4108: Contemporary Issues in the Global Economy
- EC4014: International Economics
- EC4044: Applied Economic Analysis
- Electives: Choose two of MS4043: Methods of Linear Analysis, MS4404: Partial Differential Equations, MS4014: Introduction to Numerical Analysis, MS4034: Applied Data Analysis, MS4303: Operations Research 1
Year 3
- Semester 5:
- MS4214: Statistical Inference
- MS4215: Advanced Data Analysis
- EC4055: Environmental Economics
- EC4427: Managerial Economics
- Elective: Choose one of MA4617: Introduction to Fluid Mechanics, MB4005: Analysis, MS4105: Linear Algebra 2, MB4017: Geometry
- Semester 6:
- C04320: Cooperative Education
Year 4
- Semester 7:
- EC4417: Industrial Economics
- EC4437: International Political Economy
- Electives: Choose two of MS4217: Stochastic Processes, MS4117: Discrete Mathematics 2, MS4407: Perturbation Techniques & Asymptotics, MS4408: Mathematical Modelling
- Elective: Choose one of EC4015: Final Year Project Economics and Mathematics A, MS4037: Statistical Data Science Project 1
- Semester 8:
- EC4408: Public Finance
- EC4418: Monetary Economics and International Finance
- Electives: Choose two of MS4218: Time Series Analysis, MA4128: Advanced Data Modelling, MS4018: Dynamical Systems
- Elective: Choose one of MS4017: Final Year Project Economics and Mathematics B, MS4038: Statistical Data Science Project 2
Fees and Funding
- Student course fees are broken into three components: Student contribution, Student Levy, and Tuition Fees.
- The current student contribution is set at 2,500.
- The Student Levy is 104.
- Tuition Fees vary depending on residency, citizenship, and course requirements.
Career Opportunities
Graduates of this program have excellent employment prospects, with many diverse career opportunities available upon graduation. Some potential job titles include:
- Actuary
- Equities Trader
- IT Consultant
- Pensions Administrator
- Research Analyst
- Trainee Accountant
Further Study Options
Graduates may also choose to pursue further study, such as:
- MSc in Economic & Policy Analysis
- MSc in Financial Services
- MSc in Business Analytics
Student Profiles
- Conor Flynn: Conor enjoyed his experience throughout the BSc Economics and Mathematics, particularly the wide range of topics covered from both a business and mathematics perspective.
- Karen O'Sullivan: Karen found the course to be ideally split between maths and economics, with a range of teaching methods used, including statistical programs and programming packages.
- Laoise Coughlan: Laoise is currently working as a Data Science Consultant in the Applied Intelligence Department of Accenture Dublin, having graduated from the University of Limerick in 2020 with a BSc in Economics and Mathematical Sciences.
