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SPUC-AINTL

Artificial Intelligence Specialisation

Undergraduate specialisation

Course outline
  • Qualification
    Artificial Intelligence Specialisation
  • Credit

    Credit

    100
Course outline

Select your preferred degree

This course belongs to multiple degrees. Select the single degree or double degree below to see the application deadlines.

Course outline

Outline

Outline

This specialization is a quick but deep dive into artificial intelligence. Make the best use of programming and analytic skills by learning techniques to have the computer carry out a range of problem-solving activities.

What you'll learn

  • have demonstrated narrower knowledge and understanding in a further field of study 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 Artificial Intelligence, GC1
  • can apply their narrower knowledge and understanding in a manner that indicates a professional approach to the field, and have competencies typically demonstrated through devising and sustaining arguments (to both specialist and non-specialist audiences) and solving problems within Artificial Intelligence, including using digital technologies, G2, GC3
  • can gather and interpret relevant data within Artificial Intelligence to inform judgements that include reflection on relevant social, scientific, or ethical issues, including being aware of the diversity of international perspectives associated with Artificial Intelligence, and how these impact upon the practice of the field, GC4, GC5
  • display a high standard of professional behaviour, including effective time management, both independently and as a team member, GC6
Credit for recognised learning (CRL)

Use your experience to get credit towards your degree

Finish your course sooner with credit for your previous study or work experience.

Fees and charges

Fee information is not available for this course at this time. Find estimated course fees.

Looking for more detail on the course structure?

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  • The offering information on this website applies only to future students. Current students should refer to faculty handbooks for current or past course information.

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  • Curtin course code: SPUC-AINTL
  • Last updated on: 20 November 2024

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