GMBA70-311: AI for Business Professionals

Description

This subject equips professionals and emerging business leaders with the strategic, ethical, and practical knowledge to leverage artificial intelligence (AI) both personally and within modern organizations. Students will explore AI's capabilities, limitations, and implications, and learn how to apply AI tools to improve decision-making, innovation, and operations. Through a combination of theoretical content, real-world case studies, and hands-on tool exploration, students will be prepared to lead AI-driven transformation within their industries.

Subject details

Type: Postgraduate Subject
Code: GMBA70-311
Faculty: Bond Business School
Semesters offered:
  • January - Bond-BBT MBA 2026 [Non-Standard Offering]
Credit: 5
Study areas:
  • Actuarial Science and Data Analytics

Learning outcomes

  1. Critically assess the strategic implications, capabilities, and constraints of AI for business transformation, communicating insights to both technical and non-technical stakeholders
  2. Diagnose and evaluate AI opportunities within organisations using frameworks for readiness, ethical consideration and implementation feasibility
  3. Integrate AI tools and platforms into complex business scenarios, addressing concepts such as change management, risk identification, and tool selection
  4. Design and justify a comprehensive AI innovation or adoption strategy tailored to a specific sector, incorporating stakeholder engagement, data governance, and scalability considerations

Enrolment requirements

Requisites:

Nil
Restrictions: This subject is not available to
  • Study Abroad Students
  • This subject is not available to students on US Financial Aid.
  • Students on a Student Visa may be restricted from enrolment due to the mode of delivery in the chosen semester. Check the subject outline for further details.

Must be admitted into a BBT/MBA Program

This subject is not available as a general elective. To be eligible for enrolment, the subject must be specified in the students’ program structure.

Subject outlines

Subject dates

  • Non-Standard Offering
    Enrolment opens: 16/11/2025
    Semester start: 19/01/2026
    Subject start: 19/01/2026
    Last enrolment: 25/01/2026
    Teaching census: 02/02/2026
    Withdraw - Financial: 03/02/2026
    Withdraw - Academic: 12/02/2026
Non-Standard Offering
Enrolment opens: 16/11/2025
Semester start: 19/01/2026
Subject start: 19/01/2026
Last enrolment: 25/01/2026
Teaching census: 02/02/2026
Withdraw - Financial: 03/02/2026
Withdraw - Academic: 12/02/2026