This major provides tools for the quantitative evaluation of alternative policies, plans and decisions. Nationally, demand for graduates comes from government departments (agriculture, Forest Products Commission, treasury, transport and infrastructure, minerals and energy, and health), government agencies (CSIRO, DSTO) and industries such as mining and petroleum, banking, communications, defence, transport and logistics and manufacturing.
Course Structure | Hrs/Wk | Credit | |||
---|---|---|---|---|---|
Year 1 Semester 1 | |||||
311700 | v.1 | Science Research Methodologies 551 | 3.0 | 25.0 | |
SELECT 3 OPTIONS | 75.0 | ||||
100.0 | |||||
Year 1 Semester 2 | |||||
309807 | v.1 | Mathematical Statistics 503 | 4.0 | 25.0 | |
310323 | v.2 | Logistics Modelling and Optimisation 502 | 4.0 | 25.0 | |
310324 | v.2 | Dynamic and Stochastic Modelling and Optimisation 502 | 4.0 | 25.0 | |
4476 | v.4 | Operations Research 504 | 3.0 | 25.0 | |
100.0 | |||||
Year 2 Semester 1 | |||||
310345 | v.1 | Industrial Modelling and Optimisation 601 | 4.0 | 25.0 | |
310346 | v.2 | Network Optimisation for Transport and Logistics 601 | 4.0 | 25.0 | |
6842 | v.3 | Master Project 652 | 8.0 | 50.0 | |
100.0 | |||||
Year 2 Semester 2 | |||||
310343 | v.1 | Production Planning and Management 602 | 4.0 | 25.0 | |
310351 | v.2 | Logistics and Supply Chain Optimisation 602 | 4.0 | 25.0 | |
6843 | v.3 | Master Project 653 | 8.0 | 50.0 | |
100.0 | |||||
Optional Units to Select from in Year 1 Semester 1 | Hrs/Wk | Credit | |||
310317 | v.2 | Supply Chain Modelling and Optimisation 501 | 4.0 | 25.0 | |
4469 | v.4 | Applied Statistics 503 | 3.0 | 25.0 | |
4475 | v.4 | Operations Research 503 | 3.0 | 25.0 | |
6125 | v.6 | Numerical Methods 501 | 3.0 | 25.0 |
NB | This major is prescriptive and electives are not available. It is expected that students enrolling in this major will not need to undertake preparatory units. |