Handbook home
Master of Science (Mathematics and Statistics) (MC-SCIMAT) // Attributes, outcomes and skills
About this course
Principal Coordinator
Matthew Tam
Contact
Currently enrolled students:
- General information: https://ask.unimelb.edu.au
- Contact Stop 1
- ms-msc-coordinator@unimelb.edu.au
Future students:
- Further information: http://science.unimelb.edu.au/
Intended learning outcomes
After completing this course, students should have:
- discovered the challenge of research in Mathematics and Statistics;
- developed a deeper knowledge and understanding of Mathematics and Statistics;
- completed a substantial piece of research; and
- established a sound preparation for future research in Mathematics or Statistics.
Graduate attributes
Graduates will:
- have the ability to demonstrate advanced independent critical enquiry, analysis and reflection;
- have a strong sense of intellectual integrity and the ethics of scholarship;
- have in-depth knowledge of their specialist discipline(s);
- reach a high level of achievement in writing, research or project activities, problem-solving and communication;
- be critical and creative thinkers, with an aptitude for continued self-directed learning;
- be able to examine critically, synthesise and evaluate knowledge across a broad range of disciplines;
- have a set of flexible and transferable skills for different types of employment; and
- be able to initiate and implement constructive change in their communities, including professions and workplaces.
Last updated: 6 October 2024