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Operations Research and Industrial Optimisation
Master of Science (Mathematics and Statistics)Informal specialisationYear: 2024
Operations Research and Industrial Optimisation
Overview
The Master of Science (Mathematics and Statistics) is a coursework masters degree incorporating a substantial research project.
The course is a flexible program that allows students to study subjects across Pure Mathematics, Applied Mathematics, Mathematical Biology, Mathematical Physics, Physical Combinatorics, Operations Research, Discrete Mathematics, Statistics, Probability and Stochastic Processes. Subjects are taught at an advanced level and form an ideal preparation for research in Mathematics and Statistics, including doctoral (PhD) studies.
The Master of Science (Mathematics and Statistics) also gives students the opportunity to undertake a professional skills component, and is a pathway to PhD study or to the workforce.
Last updated: 23 April 2024
Structure
62.5 credit points
Students must complete two compulsory specialisation subjects:
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| MAST90014 | Optimisation for Industry | Semester 1 (On Campus - Parkville) |
12.5 |
| MAST90098 | Approximation, Algorithms and Heuristics | Semester 2 (On Campus - Parkville) |
12.5 |
AND
Students must select three elective specialisation subjects:
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| MAST90013 | Network Optimisation | Semester 2 (On Campus - Parkville) |
12.5 |
| MAST90050 | Scheduling and Optimisation | Not available in 2024 | 12.5 |
| MAST90137 | Mathematical Game Theory | Not available in 2024 | 12.5 |
| MAST90142 | Advanced Nonlinear Optimisation | Semester 1 (On Campus - Parkville) |
12.5 |
Last updated: 23 April 2024
Majors, minors and specialisations
Last updated: 23 April 2024