A Mathematics and Statistics major will provide essential knowledge and transferable skills for students entering careers or research in the following areas: General sciences, Agriculture and environmental sciences, Banking, Finance and Commerce, Engineering, Government, Education, Industry, e.g. logistics/project manager, market research consultant, IT and computing, and Medicine.
NOTE - Students undertaking this major may not be concurrently admitted to the Diploma in Mathematical Sciences (D-MATHSC).
Intended learning outcomes
Mathematics and Statistics Major Graduates should demonstrate:
- ability to construct logical, clearly presented and justified arguments;
- ability to formulate and model practical and abstract problems in mathematics and/or statistics;
- mastery of a broad range of mathematics and/or statistics methods, with a particular emphasis in one of four specialisations;
- ability to analyse complex problems, then choose and apply appropriate mathematical/statistical tools in finding a solution;
- appreciation of the universal utility of mathematics and statistics within all fields of science;
- appreciation that mathematics and statistics are disciplines based on rigorous proofs and logical deduction;
- understanding of the role of mathematics and/or statistics in other fields;
- ability to communicate clearly, effectively and precisely about mathematics and/or statistics ideas;
- ability to clearly communicate abstract mathematical/statistical ideas to an audience with a heterogeneous background in sciences;
- understanding of the applicability of mathematics and statistics in addressing current issues facing humankind.
- an ability to work effectively and responsibly both as an individual and as part of a team.
50 credit points
Completion of 50 points of study at Level 3.
Majors, minors and specialisations
There are four specialisations within the Mathematics and Statistics major.
|Pure Mathematics specialisation|
|Applied Mathematics specialisation|
|Operations Research / Discrete Mathematics specialisation|
|Statistics / Stochastic Processes specialisation|