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Curtin University

  • 28% international / 72% domestic

Computational Sciences Major (B MultiDisc)

  • Non-Award

The Computational Science major introduces students to aspects modern computing. It covers fundamental programming and theoretical knowledge. Students are exposed to both theoretical and practical aspects of computing with an emphasis on the skills sought out by employers.

Key details

Degree Type
Non-Award

About this course

Outline Outline

The Computational Science major introduces students to aspects modern computing. It covers fundamental programming and theoretical knowledge. Students are exposed to both theoretical and practical aspects of computing with an emphasis on the skills sought out by employers. The major introduces C and Java in the first year as the tools for learning core concepts such as object orientation and algorithms. Linux skills are taught throughout the course. Fundamental aspects of Artificial Intelligence, Computer Science and Cyber Security are included in the major.

What you'll learn
  • have demonstrated knowledge and understanding across disciplines in computational science that is typically at a level that, whilst supported by advanced textbooks, includes some aspects that will be informed by knowledge of the forefront of the field of study, GC1
  • apply their knowledge and understanding in a manner that indicates a professional approach to computational science, and have competencies typically demonstrated through devising and sustaining arguments (to both specialist and non-specialist audiences) and solving problems across disciplines in computational science, GC2
  • understand the constructs of the scientific method and apply these principles in computational science using digital technologies, GC3
  • gather and interpret relevant data across computational science to inform judgements that include reflection on relevant social, scientific, or ethical issues, including being aware of the diversity of international perspectives associated across computational science, and how these impact upon the practice of the computational science, GC4
  • understand and appreciate cultural diversity and how it impacts on the practice of computational science, GC5
  • display a high standard of professional behaviour, including effective time management, both independently and as a team member, GC6

What you will learn

  • have demonstrated knowledge and understanding across disciplines in computational science that is typically at a level that, whilst supported by advanced textbooks, includes some aspects that will be informed by knowledge of the forefront of the field of study, GC1
  • apply their knowledge and understanding in a manner that indicates a professional approach to computational science, and have competencies typically demonstrated through devising and sustaining arguments (to both specialist and non-specialist audiences) and solving problems across disciplines in computational science, GC2
  • understand the constructs of the scientific method and apply these principles in computational science using digital technologies, GC3
  • gather and interpret relevant data across computational science to inform judgements that include reflection on relevant social, scientific, or ethical issues, including being aware of the diversity of international perspectives associated across computational science, and how these impact upon the practice of the computational science, GC4
  • understand and appreciate cultural diversity and how it impacts on the practice of computational science, GC5
  • display a high standard of professional behaviour, including effective time management, both independently and as a team member, GC6