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Mathematics and Statistics
Graduate Diploma in Science (Advanced)Informal specialisationYear: 2018
Mathematics and Statistics
Overview
Entry Requirements: Prior studies in Mathematics and Statistics including at least two first year and three second or higher level subjects, with at least an H3 (65%) mark for each of the two best second or higher level subjects. If students have completed accelerated subjects then one fewer subject can be deemed appropriate.
Intended learning outcomes
The objectives of this diploma are to:
- further the understanding of Mathematics and Statistics across a wide range of theoretical and practical topics;
- encourage the development of abilities to think critically and independently;
- provide a pathway for entry into graduate study in Mathematics and Statistics for students whose main undergraduate field of study was not Mathematics and/or Statistics.
Last updated: 30 January 2024
Structure
The Mathematics and Statistics program consists of eight Coursework subjects only (100 points).
Subjects are chosen from three sources.
1. Advanced Discipline Subjects available to students enrolled into Master of Science (Mathematics and Statistics). The advanced discipline subjects are clustered into four areas:
- Applied Mathematics & Mathematical Physics
- Discrete Mathematics and Operations Research Specialisation
- Pure Mathematics
- Statistics & Stochastic Processes.
2. Students may choose MAST90045 Systems Modelling and Simulation.
3. Students may select up to four subjects from latter-year, normally third year, undergraduate Mathematics and Statistics subjects subject to Departmental Program Coordinator approval.
Subject Options
Subject prerequisites: For stream specific requirements please click here.
Coursework
It is recommended that students take at least three subjects from a single specialisation.
-
Applied Mathematics and Mathematical Physics Specialisation
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST90066 | |||
MAST90067 | Advanced Methods: Transforms | Semester 1 (On Campus - Parkville) |
12.5 |
MAST90069 | Introduction to String Theory | Semester 2 (On Campus - Parkville) |
12.5 |
MAST90060 | Mathematical Statistical Mechanics | Not available in 2018 | 12.5 |
MAST90064 | Advanced Methods: Differential Equations | Not available in 2018 | 12.5 |
MAST90065 | Exactly Solvable Models | Not available in 2018 | 12.5 |
MAST90011 | Mathematical Biology | Semester 2 (On Campus - Parkville) |
12.5 |
MAST90026 | Computational Differential Equations | Semester 1 (On Campus - Parkville) |
12.5 |
Discrete Mathematics and Operations Research Specialisation
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST90014 | Optimisation for Industry | Semester 1 (On Campus - Parkville) |
12.5 |
MAST90030 | Advanced Discrete Mathematics | Semester 2 (On Campus - Parkville) |
12.5 |
MAST90050 | Scheduling and Optimisation | Not available in 2018 | 12.5 |
MAST90013 | Network Optimisation | Not available in 2018 | 12.5 |
MAST90031 | Enumerative Combinatorics | Not available in 2018 | 12.5 |
MAST90053 | Experimental Mathematics | Semester 1 (On Campus - Parkville) |
12.5 |
Pure Mathematics Specialisation
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST90012 | Measure Theory | Not available in 2018 | 12.5 |
MAST90017 | Representation Theory | Not available in 2018 | 12.5 |
MAST90029 | Differential Topology and Geometry | Not available in 2018 | 12.5 |
MAST90056 | Riemann Surfaces and Complex Analysis | Not available in 2018 | 12.5 |
MAST90020 | Functional Analysis | Semester 1 (On Campus - Parkville) |
12.5 |
MAST90023 | Algebraic Topology | Semester 1 (On Campus - Parkville) |
12.5 |
MAST90025 | Commutative and Multilinear Algebra | Semester 1 (On Campus - Parkville) |
12.5 |
MAST90068 | Groups, Categories & Homological Algebra | Semester 2 (On Campus - Parkville) |
12.5 |
Statistics and Stochastic Processes Specialisation
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST90019 | Random Processes | Semester 2 (On Campus - Parkville) |
12.5 |
MAST90082 | Mathematical Statistics | Semester 1 (On Campus - Parkville) |
12.5 |
MAST90051 | Mathematics of Risk | Semester 2 (On Campus - Parkville) |
12.5 |
MAST90059 | Stochastic Calculus with Applications | Not available in 2018 | 12.5 |
MAST90080 | Advanced Modelling: Case Studies | Not available in 2018 | 12.5 |
MAST90083 | Computational Statistics and Data Mining | Semester 2 (On Campus - Parkville) |
12.5 |
MAST90085 | Multivariate Statistical Techniques | Semester 2 (On Campus - Parkville) |
12.5 |
MAST90027 | The Practice of Statistics | Semester 2 (On Campus - Parkville) |
12.5 |
MAST90081 | Advanced Probability | Semester 1 (On Campus - Parkville) |
12.5 |
MAST90084 | Statistical Modelling | Semester 1 (On Campus - Parkville) |
12.5 |
-
Students may also choose the following:
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST90045 | Systems Modelling and Simulation | Semester 1 (On Campus - Parkville) |
12.5 |
Notes
This program has a start-year and a mid-year intake.
Links
http://graduate.science.unimelb.edu.auLast updated: 30 January 2024