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Curtin University

  • 28% international / 72% domestic

Bachelor of Science (Industrial Optimisation)

  • Bachelor

International students please note that this course is available only to international students from universities with student articulation agreements with Curtin University.

Key details

Degree Type
Bachelor
Duration
3 years full-time
Course Code
108987K
Study Mode
In person

About this course

Outline Outline

International students please note that this course is available only to international students from universities with student articulation agreements with Curtin University.

What you'll learn
  • understand and apply mathematical and statistical principles and concepts in areas such as operations research to solve problems relevant to science, industry, commerce and government
  • apply mathematical and statistical methods to critically analyse problems in industrial optimisation and to think creatively to generate innovative solutions
  • locate, extract and critically appraise relevant evidence and scientific literature in relation to industrial optimisation
  • communicate effectively within the context of industrial optimisation through the written word and by oral presentation
  • use new technologies to effectively gather data and communicate information
  • understand the theoretical framework of industrial optimisation science and work as a responsible, reflective, self-directed and motivated lifelong learner
  • be aware of the diversity of international perspectives and apply international standards of practice within their profession
  • respect the rights of individuals and the importance of cultural diversity within the scientific field
  • display high levels of professional behaviour both independently and as a team member through the use of ethical practices within the scientific field

Study locations

Perth

What you will learn

  • understand and apply mathematical and statistical principles and concepts in areas such as operations research to solve problems relevant to science, industry, commerce and government
  • apply mathematical and statistical methods to critically analyse problems in industrial optimisation and to think creatively to generate innovative solutions
  • locate, extract and critically appraise relevant evidence and scientific literature in relation to industrial optimisation
  • communicate effectively within the context of industrial optimisation through the written word and by oral presentation
  • use new technologies to effectively gather data and communicate information
  • understand the theoretical framework of industrial optimisation science and work as a responsible, reflective, self-directed and motivated lifelong learner
  • be aware of the diversity of international perspectives and apply international standards of practice within their profession
  • respect the rights of individuals and the importance of cultural diversity within the scientific field
  • display high levels of professional behaviour both independently and as a team member through the use of ethical practices within the scientific field

Graduate outcomes

Graduate satisfaction and employment outcomes for Science & Mathematics courses at Curtin University.
87.7%
Overall satisfaction
86.6%
Skill scale
76.4%
Teaching scale
68.8%
Employed full-time
$70k
Average salary