310708 v.2 Industrial Engineering Major (Master of Science)
Introduction
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 | |||||
| 302292 | v.1 | Network Optimisation 202 | 4.0 | 25.0 | |
| 309807 | v.1 | Mathematical Statistics 503 | 4.0 | 25.0 | |
| 310297 | v.2 | Logistics Modelling and Optimisation 202 | 4.0 | 25.0 | |
| 310301 | v.2 | Dynamic and Stochastic Modelling and Optimisation 302 | 4.0 | 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 | |||
| 302332 | v.3 | Applied Statistics 401 | 3.0 | 25.0 | |
| 310317 | v.2 | Supply Chain Modelling and Optimisation 501 | 4.0 | 25.0 | |
| 6125 | v.6 | Numerical Methods 501 | 3.0 | 25.0 | |
| 8140 | v.6 | Operations Research 201 | 4.0 | 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.
