MJRU-MATHS v.1 Mathematics Major (BSc Science)
Major/Stream Overview
This major/stream is part of a larger course. Information is specific to the major/stream, please refer to the course for more information.
Mathematics is the study of concepts such as quantity, structure, space and change and to use these concepts to model and describe the behaviour of real world complex systems. 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 technology, natural science, engineering, medicine, finance and the social sciences such as sociology and psychology. Employment prospects are good as mathematics graduates have high level problem solving skills. 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. This Major should be taken by students who wish to study Applied Mathematics, Financial Mathematics or Industrial Mathematics. It provides students with the foundation knowledge and skills necessary to pursue their interest in these areas of mathematics.
Professional Recognition
Graduates of this course may be eligible for membership in the Statistical Society of Australia (SSAI) and/or Australian Mathematical Society (Aust MS).
Major/Stream Entry and Completion Details
The Mathematics major requires WACE Mathematics 3C/3D. WACE Mathematics: Specialist 3C/3D is desirable.
Major/Minor/Stream Organisation
Major/Stream Learning Outcomes
A graduate of this course can:
1. understand and apply mathematical and statistical principles and concepts in a range of mathematical disciplines such as operations research, statistics, numerical analysis or applied mathematical modelling, and to solve problems relevant to science, industry, commerce and Government
2. apply mathematics and statistical methods to critically analyse problems in science, finance and engineering; and to think creatively to generate innovative solutions
3. locate, extract and critically appraise relevant evidence and scientific literature in relation to mathematical science
4. communicate effectively within the context of mathematical science through the written word and by oral presentation
5. use new technologies to effectively gather data and communicate information
6. understand the theoretical framework of mathematical science and work as a responsible, reflective, self-directed and motivated lifelong learner
7. be aware of the diversity of international perspectives and apply international standards of practice within their profession as a mathematical scientist
8. understand cultural diversity and how it impacts on the discipline of mathematical science
9. display professional behaviour both independently and as a team member through the use of ethical practices
| Course Structure | Hrs/Wk | Credit | |||
|---|---|---|---|---|---|
| Year 0 | |||||
| STRU-IOPTM | v.1 | Industrial Optimisation Stream (BSc Science) | 200.0 | ||
| OR | |||||
| STRU-AMATH | v.1 | Applied Mathematics Stream (BSc Science) | 200.0 | ||
| OR | |||||
| STRU-FMATH | v.1 | Financial Mathematics Stream (BSc Science) | 200.0 | ||
| 200.0 | |||||
| Year 2 Semester 1 | |||||
| MATH2009 | v.1 | Advanced Calculus | 4.0 | 25.0 | |
| MATH2011 | v.1 | Operations Research | 4.0 | 25.0 | |
| 50.0 | |||||
| Year 2 Semester 2 | |||||
| MATH2010 | v.1 | Linear Algebra | 4.0 | 25.0 | |
| MATH2000 | v.1 | Network Optimisation | 4.0 | 25.0 | |
| 50.0 | |||||
| Year 3 Semester 1 | |||||
| MATH2015 | v.1 | Mathematical Computing | 4.0 | 25.0 | |
| MATH3000 | v.1 | Mathematical Methods | 4.0 | 25.0 | |
| OR | |||||
| INDE3000 | v.1 * | Industrial Modelling and Optimisation | 4.0 | 25.0 | |
| 50.0 | |||||
| Year 3 Semester 2 | |||||
| MATH3004 | v.1 | Industrial Project | 4.0 | 25.0 | |
| MATH3001 | v.1 ** | Applied Mathematical Modelling | 4.0 | 25.0 | |
| OR | |||||
| STAT3003 | v.1 | Applied Statistics | 4.0 | 25.0 | |
| 50.0 | |||||
* Students approved to undertake the Industrial Optimisation Stream must complete this unit
** Students approved to undertake the Applied Mathematics or Industrial Optimisation Stream must complete this unit
Handbook
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For course and enrolment information please visit our Future Students website.
