Description:
The major in Mathematical Economics gives students an opportunity to explore the intimate relationship between mathematics and economics through a program of study which focuses on mathematical analysis, modern statistical techniques and economic theory.
The combination of economics and mathematics prepares the student to directly go into the business world, or to go onto graduate study in economics or finance.
Learning Goals:
Students who complete the major in Mathematical Economics will be able to:
- Demonstrate mastery of mathematical concepts and techniques to the level of advanced Analysis.
- Demonstrate mastery of the concepts and techniques of of Probability, Statistics, and Stochastic processes.
- Demonstrate mastery of the ideas and concepts of Economic Theory.
- Apply concepts and techniques from mathematics and statistics to economic problems.
- Obtain a deep understanding of Economic Theory in the context of advanced mathematical frameworks.
- Think clearly, sequentially and logically, as demonstrated by the critical analysis of quantitative problems, in particular economics problems.
- Appreciate that mathematics and statistics is embedded in everyday life through its influence in various fields, in particular in economics.
- Draw on discipline based experiences of working collaboratively, communicating mathematical and economics knowledge and acting professionally and responsibility in further study, or professional pursuits.
Other Information
Advice to Students
What 1st year courses should you enrol in? To satisfy pre-requisites of the core courses in the major, students must take MATH1115 and MATH1116; ECON1101 and ECON1102 (or ECON1100 or ECON1001/1011; and STAT1003 or STAT1008.
It is recommended that students take MATH2405 and one extra MATH coded course to obtain a minor in Mathematics.
Students should seek further course advice from the academic convener of this Mathematical Economics major.
Back to the top
Requirements
Major Requirements
This major requires the completion of 48 units, which must include:
24 units from completion of the following course(s):
| Code | Title | Units |
|---|---|---|
| STAT2001 | Introductory Mathematical Statistics | 6 |
| ECON2111 | Microeconomics 2(H) | 6 |
| MATH2320 | Analysis 1 Honours: Metric Spaces and Applications | 6 |
| MATH3029 | Probability Modelling with Applications | 6 |
12 units from completion of the following course(s):
| Code | Title | Units |
|---|---|---|
| ECON2127 | Mathematics for Economists B | 6 |
| ECON2142 | Strategic Thinking: An Introduction to Game Theory (H) | 6 |
| EMET2007 | Econometrics I: Econometric Methods | 6 |
6 units from completion of the following course(s):
| Code | Title | Units |
|---|---|---|
| ECON3100 | Economics 3 (H) | 6 |
| ECON 3121: Mathematical Economics | ||
| EMET3006 | Applied Micro-econometrics | 6 |
| EMET3008 | Applied Macro and Financial Econometrics | 6 |
| EMET 3011: Econometrics III: Adv Methods |
6 units from completion of the following course(s):
| Code | Title | Units |
|---|---|---|
| MATH3320 | Analysis 2 Honours: Topology, Lebesgue Integration and Hilbert Spaces | 6 |
| MATH3325 | Analysis 3 Honours: Functional analysis, Spectral theory and Applications | 6 |
| MATH3511 | Scientific Computing | 6 |
| MATH3512 | Matrix Computations | 6 |
| MATH3514 | Numerical Optimisation | 6 |
| MATH4202 | Theory of Partial Differential Equations Honours | 6 |
| MATH3342 | Differential Geometry H | 6 |
| MATH4204 | Algebraic Topology Honours | 6 |
