Updating Results

Curtin University

  • 28% international / 72% domestic

Optimisation Minor

  • Non-Award

The Optimisation Minor is designed to provide students with the necessary skills in mathematics and the ability to apply them to problems arising in business and industry.

Key details

Degree Type
Non-Award

About this course

Outline Outline

The Optimisation Minor is designed to provide students with the necessary skills in mathematics and the ability to apply them to problems arising in business and industry. The Minor builds upon foundational knowledge in linear algebra into areas of transportation, project planning and management, network modelling and optimisation, logistic and supply chain management, warehouse design and operation. Industry-based units will help you to experience real applications. Graduates are well-equipped with the tools to address the key problems that need to be solved to improve the efficiency and productivity of business and industry.

What you'll learn
  • have demonstrated some knowledge and understanding in Optimisation that is typically at a level supported by textbooks, but not necessarily at the forefront of the field, GC1
  • can apply their knowledge and understanding in a manner that indicates a professional approach to the field and have developing competencies typically demonstrated through devising and sustaining arguments (to both specialist and non-specialist audiences) and solving straightforward problems within Optimisation, including using digital technologies, GC2, GC3
  • can gather and interpret relevant data within Optimisation to inform judgements that include some reflection on relevant social, scientific, or ethical issues related to Optimisation, GC4, GC5
  • demonstrate a developing standard of professional behaviour, including effective time management, both independently and as a team member, GC6

What you will learn

  • have demonstrated some knowledge and understanding in Optimisation that is typically at a level supported by textbooks, but not necessarily at the forefront of the field, GC1
  • can apply their knowledge and understanding in a manner that indicates a professional approach to the field and have developing competencies typically demonstrated through devising and sustaining arguments (to both specialist and non-specialist audiences) and solving straightforward problems within Optimisation, including using digital technologies, GC2, GC3
  • can gather and interpret relevant data within Optimisation to inform judgements that include some reflection on relevant social, scientific, or ethical issues related to Optimisation, GC4, GC5
  • demonstrate a developing standard of professional behaviour, including effective time management, both independently and as a team member, GC6

Graduate outcomes

Graduate satisfaction and employment outcomes for Engineering courses at Curtin University.
76.7%
Overall satisfaction
85.4%
Skill scale
44.2%
Teaching scale
84.6%
Employed full-time
$69.4k
Average salary