MJRU-APMAT v.1 Industrial and Applied 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 systemic 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. This Industrial and Applied Mathematics Major is designed to provide students with the skills in mathematics, engineering and computing and to apply them to problems arising in business, industry and government. The major includes units in advanced calculus and linear algebra that provide foundation knowledge as well as units in modelling and optimisation, network design and analysis, logistics, supply chain networks, transportation networks, computational mathematics, statistics and probability. Industry-based units and a work experience program will help students to experience real applications. Graduates are well equipped with the tools to address the key problems that need to be solved to improve the efficiency and productivity of business and industry.
Professional Recognition
Graduates of this course may be eligible for membership to the Statistical Society of Australia (SSAI), Operations Research Society of Australia, and/or Australian Mathematical Society (Aust MS). Your choice of units may also gain you eligibility for professional level accreditation from the Australian Institute of Banking and Finance.
Career Opportunities
Employment prospects are good as mathematics graduates have high level problem-solving skill. 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. Amongst other careers, this course can help you become a: Logistics Clerk; Mathematician; Statistician; Financial Dealer and Broker; Data Analyst/Scientist; Information Technologist; Logistics Analyst; Project Analyst/Manager; Risk Management; Scheduler; Statistical Analyst; Supply Chain Management; Marker Analyst; Games Designer; Meteorologist.
Major/Stream Entry and Completion Details
The Industrial and Applied Mathematics Major requires Mathematics Methods ATAR. Mathematics Specialist ATAR 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
Duration and Availability
This Major is three years' full-time study or equivalent part-time study.
Course Structure | Hrs/Wk | Credit | |||
---|---|---|---|---|---|
Year 1 Semester 1 | |||||
NPSC1001 | v.1 | Scientific Computing | 4.0 | 25.0 | |
OR | |||||
COMP1005 | v.1 | Fundamentals of Programming | 4.0 | 25.0 | |
STAT1002 | v.1 | Statistical Data Analysis | 3.0 | 12.5 | |
STAT1001 | v.1 | Statistical Probability | 3.0 | 12.5 | |
MATH1017 | v.1 | Accelerated Mathematics 1 | 5.0 | 25.0 | |
OR | |||||
MATH1015 | v.1 | Linear Algebra 1 | 4.0 | 25.0 | |
SELECT ELECTIVE UNITS TO THE TOTAL VALUE OF: | 25.0 | ||||
100.0 | |||||
Year 1 Semester 2 | |||||
MATH1006 | v.1 | Mathematical Modelling | 4.0 | 25.0 | |
COMS1000 | v.1 | Science Communications | 2.0 | 12.5 | |
STAT1000 | v.1 | Regression and non-Parametric Inference | 3.0 | 12.5 | |
MATH1018 | v.1 | Accelerated Mathematics 2 | 4.0 | 25.0 | |
OR | |||||
MATH1016 | v.1 | Calculus 1 | 5.0 | 25.0 | |
SELECT ELECTIVE UNITS TO THE TOTAL VALUE OF: | 25.0 | ||||
100.0 | |||||
Year 2 Semester 1 | |||||
MATH2011 | v.1 | Operations Research | 4.0 | 25.0 | |
MATH2009 | v.2 | Calculus 2 | 4.0 | 25.0 | |
STAT2001 | v.1 | Mathematical Statistics | 4.0 | 25.0 | |
INDE2000 | v.1 | Supply Chain Modelling and Optimisation | 4.0 | 25.0 | |
100.0 | |||||
Year 2 Semester 2 | |||||
MATH2000 | v.1 | Network Optimisation | 4.0 | 25.0 | |
MATH2010 | v.2 | Linear Algebra 2 | 4.0 | 25.0 | |
INDE2001 | v.1 | Logistics Modelling and Optimisation | 4.0 | 25.0 | |
OR | |||||
STAT2003 | v.1 | Analytics for Experimental and Simulated Data | 5.0 | 25.0 | |
SELECT ELECTIVE UNITS TO THE TOTAL VALUE OF: | 25.0 | ||||
100.0 | |||||
Year 3 Semester 1 | |||||
MATH2015 | v.1 | Mathematical Computing | 4.0 | 25.0 | |
MATH3002 | v.1 | Numerical Optimisation | 4.0 | 25.0 | |
INDE3000 | v.1 | Industrial Modelling and Optimisation | 4.0 | 25.0 | |
OR | |||||
MATH3000 | v.1 | Mathematical Methods | 4.0 | 25.0 | |
SELECT ELECTIVE UNITS TO THE TOTAL VALUE OF: | 25.0 | ||||
100.0 | |||||
Year 3 Semester 2 | |||||
MATH3001 | v.1 | Applied Mathematical Modelling | 4.0 | 25.0 | |
MATH3004 | v.1 | Industrial Project | 4.0 | 25.0 | |
MATH2002 | v.1 | Computational Mathematics | 4.0 | 25.0 | |
INDE3002 | v.1 | Dynamic and Stochastic Modelling and Optimisation | 4.0 | 25.0 | |
100.0 |
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