MJRH-ADIAM v.2 Industrial and Applied Mathematics Major (BAdvSci) (Honours)
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.
This honours level major provides a flexible approach to Applied Mathematics with students able to explore the field through opportunities for immersive research experiences, industry placement and team-based projects. The major culminates in a personalised capstone experience. 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 in the Statistical Society of Australia (SSAI), Operations Research Society of Australia, and/or Australian Mathematical Society (Aust MS) and may also gain eligibility for professional level accreditation from the Australian Institute of Banking and Finance.
Career Opportunities
Students graduating with an honours degree in science can pursue careers in research through postgraduate degrees (Master by Research, PhD) but are also high competitive in industry. Graduates from the Bachelor of Advanced Science (Honours) have the added advantage being able to evidence the development of high level discipline, leadership and entrepreneurship skills through engagement with industry and research groups throughout their course. 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. Amongst the 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; Market Analyst; Games Designer; Meteorologist.
Additional Course Expenses
Students may be expected to purchase a number of textbooks and other essential study materials.
Major/Stream Entry and Completion Details
Prerequisites: Mathematics Specialist ATAR. Students with Mathematics Specialist ATAR more than 70% must take MATH1017 Accelerated Mathematics 1.
Specific Course Completion Details
To progress to the final year of study and hence to qualify for this award students will be required to provide evidence of research experience totaling at least 96 hours.
Major/Minor/Stream Organisation
This Major is designed to provide graduates with a broad range of analytical and mathematical skills with particular relevance to statistical modelling and operations research. The major consists of core Mathematics units, a set of core units focused on the development of research and leadership skills and attributes, and a final year capstone experience. In addition there is also an elective stream that enables the opportunity to study further units in mathematics, finance, computing or a minor in a Arts or Commerce discipline.
Major/Stream Learning Outcomes
A graduate of this course can:
1. demonstrate an advanced knowledge of the nature of science, its methods and processes, and an advanced knowledge of mathematical and statistical principles and concepts in a range of mathematical disciplines; solve problems relevant to science, industry, commerce and government
2. apply mathematical and statistical methods to critically analyse challenging and multi-faceted problems and to think creatively to generate innovative solutions
3. access and make judgments on the value of available knowledge using a variety of tools, and incorporate them into the planning, conduct and communication of their own work
4. communicate approaches, ideas, findings and solutions to mathematical science problems in a variety of modes to informed professional audiences
5. use established and emerging technologies in the field of mathematical sciences to address complex research questions
6. demonstrate intellectual independence and engage in self-driven continuous discipline and professional education and training in the mathematical sciences
7. be aware of the diversity of international perspectives and apply international standards of practice within their profession as a mathematical scientist.
8. work collaboratively and respectfully with colleagues from a range of cultural backgrounds and understand the importance of cultural diversity and how it impacts a mathematical scientist
9. be able to work ethically and professionally as an independent mathematical scientist and collaboratively within teams either as a professional leader or collaborator
Duration and Availability
This course is four years full-time or equivalent part-time study. One intake is offered each year in February.
| Course Structure | Hrs/Wk | Credit | |||
|---|---|---|---|---|---|
| Year 1 Semester 1 | |||||
| NPSC1002 | v.1 | Science, Technology and Global Problems | 4.0 | 25.0 | |
| STAT1005 | v.1 | Introduction to Probability and Data Analysis | 3.0 | 25.0 | |
| MATH1017 | v.2 | Advanced Mathematics 1 | 5.0 | 25.0 | |
| OR | |||||
| MATH1015 | v.1 | Linear Algebra 1 | 4.0 | 25.0 | |
| COMP1005 | v.1 | Fundamentals of Programming | 4.0 | 25.0 | |
| OR | |||||
| COMP1007 | v.1 | Programming Design and Implementation | 4.0 | 25.0 | |
| 100.0 | |||||
| Year 1 Semester 2 | |||||
| STAT1006 | v.1 | Regression and Nonparametric Inference | 4.0 | 25.0 | |
| MATH1016 | v.1 | Calculus 1 | 5.0 | 25.0 | |
| OR | |||||
| MATH1018 | v.2 | Advanced Mathematics 2 | 4.0 | 25.0 | |
| MATH1006 | v.1 | Mathematical Modelling | 4.0 | 25.0 | |
| SELECT OPTIONAL UNITS TO THE TOTAL VALUE OF: | 25.0 | ||||
| 100.0 | |||||
| Year 2 Full Year | |||||
| NPSC2001 | v.1 | Research, Leadership and Entrepreneurship in Science 1 | 7.0 | 50.0 | |
| 50.0 | |||||
| Year 2 Semester 1 | |||||
| MATH2011 | v.1 | Operations Research | 4.0 | 25.0 | |
| OR | |||||
| INDE2000 | v.1 | Supply Chain Modelling and Optimisation | 4.0 | 25.0 | |
| MATH2009 | v.2 | Calculus 2 | 4.0 | 25.0 | |
| SELECT ELECTIVE UNITS TO THE TOTAL VALUE OF: | 25.0 | ||||
| 75.0 | |||||
| Year 2 Semester 2 | |||||
| MATH2000 | v.1 | Network Optimisation | 4.0 | 25.0 | |
| OR | |||||
| INDE2001 | v.1 | Logistics Modelling and Optimisation | 4.0 | 25.0 | |
| MATH2010 | v.2 | Linear Algebra 2 | 4.0 | 25.0 | |
| SELECT ELECTIVE UNITS TO THE TOTAL VALUE OF: | 25.0 | ||||
| 75.0 | |||||
| Year 3 Full Year | |||||
| NPSC3000 | v.1 | Research, Leadership and Entrepreneurship in Science 2 | 7.0 | 50.0 | |
| 50.0 | |||||
| Year 3 Semester 1 | |||||
| INDE3000 | v.1 | Industrial Modelling and Optimisation | 4.0 | 25.0 | |
| MATH3002 | v.1 | Numerical Optimisation | 4.0 | 25.0 | |
| SELECT ELECTIVE UNITS TO THE TOTAL VALUE OF: | 25.0 | ||||
| 75.0 | |||||
| Year 3 Semester 2 | |||||
| MATH3001 | v.1 | Applied Mathematical Modelling | 4.0 | 25.0 | |
| INDE3002 | v.1 | Dynamic and Stochastic Modelling and Optimisation | 4.0 | 25.0 | |
| SELECT ELECTIVE UNITS TO THE TOTAL VALUE OF: | 25.0 | ||||
| 75.0 | |||||
| Year 4 | |||||
| SELECT OPTIONAL UNITS TO THE TOTAL VALUE OF: | 200.0 | ||||
| 200.0 | |||||
| Optional Units to Select from in Year 1 Semester 2 | Hrs/Wk | Credit | |||
| COMP1002 | v.1 | Data Structures and Algorithms | 4.0 | 25.0 | |
| ASTR1003 | v.1 | Introduction to Astronomy | 4.0 | 25.0 | |
| STAT1003 | v.1 | Introduction to Data Science | 5.0 | 25.0 | |
| ECON1000 | v.1 | Introductory Economics | 3.0 | 25.0 | |
| PHYS1005 | v.1 | Physics 1 | 5.0 | 25.0 | |
| ACTL1000 | v.1 | Principles of Actuarial Science | 5.0 | 25.0 | |
| COMP1000 | v.1 | Unix and C Programming | 4.0 | 25.0 | |
| Optional Units to Select from in Year 4 | Hrs/Wk | Credit | |||
| NPSC4001 | v.1 | Advanced Science Capstone | 3.0 | 150.0 | |
| MATH4001 | v.1 | Advanced Topics in Applied and Computational Mathematics | 3.0 | 25.0 | |
| MATH4000 | v.1 | Mathematical Sciences Honours Dissertation | 8.0 | 100.0 | |
| MATH4002 | v.1 | Advanced Topics in Optimisation | 4.0 | 25.0 | |
| MATH3000 | v.1 | Mathematical Methods | 4.0 | 25.0 | |
| STAT4003 | v.1 | Advanced Topics in Statistics | 3.0 | 25.0 | |
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