1. Handbook
  2. Master of Science (Mathematics and Statistics)
  3. Informal Specialisation
  4. Operations Research and Industrial Optimisation
  5. Print

Operations Research and Industrial Optimisation

Master of Science (Mathematics and Statistics)Informal specialisationYear: 2023

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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: 10 November 2023

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 Not available in 2023 12.5
MAST90050 Scheduling and Optimisation
Semester 2 (On Campus - Parkville)
 12.5
MAST90137 Mathematical Game Theory
Semester 1 (On Campus - Parkville)
 12.5
MAST90142 Advanced Nonlinear Optimisation Not available in 2023 12.5

Last updated: 10 November 2023

Majors, minors and specialisations


Last updated: 10 November 2023