Mathematics and Statistics (Statistics / Stochastic Processes) major
50 points
Level 3: compulsory
Level 3: pick 1
Level 3: pick 1
- MAST30005 Algebra
- MAST30011 Graph Theory
- MAST30012 Discrete Mathematics
- MAST30013 Techniques in Operations Research
- MAST30020 Probability for Inference
- MAST30021 Complex Analysis
- MAST30022 Decision Making
- MAST30024 Geometry
- MAST30026 Metric and Hilbert Spaces
- MAST30027 Modern Applied Statistics
- MAST30028 Numerical Methods & Scientific Computing
- MAST30030 Applied Mathematical Modelling
- MAST30031 Methods of Mathematical Physics
- MAST30032 Biological Modelling and Simulation
- MAST30034 Applied Data Science
- MAST30035 Number Theory and Cryptography
Level 1 and 2: take these first
- COMP10002 Foundations of Algorithms
- COMP20008 Elements of Data Processing
- COMP30027 Machine Learning
- MAST20005 Statistics
- MAST20022 Group Theory and Linear Algebra
- MAST20030 Differential Equations
- MAST20035 Introduction to Operations Research
Where it can lead
What the Handbook says Mathematics and Statistics (Statistics / Stochastic Processes) leads to, with official job information from the Australian Government's Your Career site.
- Logistics/project manager · Which subjects matter for a logistics/project manager?
- Market research consultant · Which subjects matter for a market research consultant?
Related fields
Matched by subject area: the Handbook page doesn't name these jobs.
Industries
general sciences, agriculture and environmental sciences, banking, finance and commerce, engineering, government, education, IT and computing, medicine
Further study
- After the Bachelor of Science: Honours (depending on the major; see BH-SCI), graduate professional entry degrees (some with research training), and research higher degrees (masters/doctoral) after research training in Honours, a Postgraduate Diploma or a Masters.
From the Handbook · checked 2026-10-23
From the 2026 University of Melbourne Handbook. Check it before you enrol.