## Handbook home

# Statistics / Stochastic Processes

Informal specialisationYear: 2023

Statistics / Stochastic Processes

## Contact information

### Coordinator

Dr Lawrence Reeves

**Melbourne Graduate School of Science**

Faculty of Science

The University of Melbourne

Victoria 3010

Tel: + 61 3 8344 6128

Fax: +61 3 8344 3351

## Overview

This specialisation of the Graduate Diploma allows students who have completed an undergraduate degree to refocus or expand their body of knowledge by completing the requirements of the Statistics & Stochastic Processes specialisation in the Mathematics and Statistics major of the Bachelor of Science. It provides a pathway into the Master of Science (Mathematics and Statistics).

## Intended learning outcomes

Upon completion of this specialisation, students should be able to:

- Construct detailed, logical, clearly presented and justified arguments;
- Formulate and model practical and abstract problems in mathematics, including the use of information technology where appropriate;
- Solve complex problems through the Identification and application of appropriate mathematical tools;
- Communicate advanced mathematical ideas to an audience with a heterogeneous background in sciences;
- Utilise a broad range of mathematical methods, with a particular emphasis on Statistics & Stochastic Processes;
- Investigate the universal utility of mathematics within all fields of science;
- Explain how mathematics is a discipline based on rigorous proofs and logical deduction.

Last updated: 24 January 2023