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Master of Operations Research and Management Science (MC-SCIMAN) // Attributes, outcomes and skills
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About this course
Contact
Melbourne Graduate School of Science
Faculty of Science
The University of Melbourne
Victoria 3010
Tel: + 61 3 8344 6128
Fax: +61 3 8344 3351
Web: http://graduate.science.unimelb.edu.au/
Coordinator
Not taking new students from 2014
Associate Professor Sanming Zhou
Email: sanming@unimelb.edu.au
Professional accreditation
National Professional Science Master’s Association (NPSMA) (http://www.npsma.org//)
Intended learning outcomes
After completing this course students will:
- have learned how basic techniques in operations research are applied in industry;
- understand how to turn an industrial problem into a mathematical formulation;
- know how to solve important mathematical optimisation problems arising in industrial framework;
- be familiar with the most commonly used mathematical models and be able to apply them in various situations; and
- be able to estimate the values of parameters that drive models from statistical data and have an appreciation of the uncertainty in those estimates.
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, 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: 30 January 2024