312515 v.1 Applied Mathematics and Statistics Major (BSc Science)
Introduction
Mathematics is the study of concepts such as quantity, structure, space and change. It has been described as the science of patterns, whether found in numbers, space, science, engineering, computers, imaginary abstractions, or elsewhere. Through abstraction and logical reasoning, mathematics evolved from counting, calculation, measurement, and the systematic study of the shapes and motions of physical objects. Today, mathematics is used in most fields, including natural science, engineering, medicine, finance and the social sciences such as sociology and psychology. This major includes core units in calculus and linear algebra that provide foundation knowledge. Students may also select from units in analysis, optimisation, industrial modelling, scientific computation, and statistics and probability. Employment prospects are good. Mathematics can be a stepping stone to a wide and diverse career. Our graduates have moved on into many different areas of employment such as finance, government, industry, defence and research as many employers are keen to employ people with a good background in mathematics.
Course Organisation
Students may pursue their interest in applied mathematics and statistics by choosing the Applied Mathematics and Statistics single major or combining it with other majors listed under 311148 Bachelor of Science. Students undertaking a single major in Applied Mathematics & Statistics must also complete one of the following three streams: 312514 Applied Mathematics Stream http://handbook.curtin.edu.au/courses/31/312514.html 312513 Industrial Modelling and Optimisation Stream http://handbook.curtin.edu.au/courses/31/312513.html 312512 Applied Statistics Stream http://handbook.curtin.edu.au/courses/31/312512.html
Further Information
For more information contact the Career Consultant, in the Faculty of Science and Engineering on (08) 9266 4816, email careers@vesta.curtin.edu.au or visit our website www.scieng.curtin.edu.au.
| Course Structure | Hrs/Wk | Credit | |||
|---|---|---|---|---|---|
| Year 2 Semester 1 | |||||
| 311828 | v.1 # | Scientific Computing 201 | 4.0 | 25.0 | |
| OR | |||||
| 8140 | v.6 ^ | Operations Research 201 | 4.0 | 25.0 | |
| OR | |||||
| 302315 | v.2 * | Mathematical Statistics 202 | 4.0 | 25.0 | |
| 8127 | v.6 | Advanced Calculus 201 | 4.0 | 25.0 | |
| 50.0 | |||||
| Year 2 Semester 2 | |||||
| 302292 | v.1 ^ | Network Optimisation 202 | 4.0 | 25.0 | |
| OR | |||||
| 8393 | v.9 * | Experimental Design and Analysis 202 | 4.0 | 25.0 | |
| OR | |||||
| 308690 | v.2 # | Computational Mathematics 202 | 4.0 | 25.0 | |
| 8128 | v.6 | Linear Algebra 202 | 4.0 | 25.0 | |
| 50.0 | |||||
| Year 3 Semester 1 | |||||
| 10098 | v.2 | Mathematical Methods 301 | 4.0 | 25.0 | |
| 310299 | v.1 ^ | Industrial Modelling and Optimisation 301 | 4.0 | 25.0 | |
| OR | |||||
| 311007 | v.1 * | Statistical Modelling 301 | 4.0 | 25.0 | |
| OR | |||||
| 310503 | v.2 # | Numerical Optimisation 301 | 4.0 | 25.0 | |
| 50.0 | |||||
| Year 3 Semester 2 | |||||
| 302300 | v.2 | Applied Mathematical Modelling 302 | 4.0 | 25.0 | |
| 310300 | v.2 ^ | Logistics and Supply Chain Optimisation 302 | 4.0 | 25.0 | |
| OR | |||||
| 3975 | v.5 * | Applied Statistics 302 | 4.0 | 25.0 | |
| OR | |||||
| 311631 | v.2 # | Risk Analysis and Credibility Theory 302 | 4.0 | 25.0 | |
| 50.0 | |||||
# Students choosing the Applied Mathematics stream must do this unit
* Students choosing the Applied Statistics stream must do this unit
^ Students choosing the IMO stream must do this unit
