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Graduate Certificate of Artificial Intelligence for Business

Postgraduate coursework

Build the knowledge to introduce AI thinking into a business organisation. Improve your digital and soft skills to meet the growing demand for AI solutions.

Key facts

Duration

1 year part-time

Key dates

Direct applications to Deakin for Trimester 1 2025 close 16 February 2025

Current Deakin Students

To access your official course details for the year you started your degree, please visit the handbook

Course overview

The business landscape is changing rapidly with the advancement of Artificial Intelligence (AI). Deakin's Graduate Certificate of Artificial Intelligence for Business gives you the knowledge and skills to introduce AI thinking into a business organisation. There's an increasing push for business professionals to develop their digital skills relating to AI, sharpen soft skills and invest in transferable skills to meet the growing demand in the market for AI solutions to business problems.

Do you have the AI skills required to take your career to the next level?

Cognitive automation, business process automation, robotics, (augmented) virtual reality, machine learning, generative AI and big data analytics are fast becoming highly sought-after areas of expertise. Learn to formulate ethically responsible AI-driven business strategies and use existing commercial AI software in contexts including marketing, supply chain management and finance. You will also explore challenges and pitfalls of using existing commercial AI software in business contexts.

Study the Graduate Certificate of Artificial Intelligence for Business and gain valuable foundational knowledge and a sought-after skill set.

The course comprises 4 credit points of study. Course duration is one year part-time equivalent. This course can be used as a pathway to further study.  

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Course information

Award granted
Graduate Certificate of Artificial Intelligence for Business
Year

2025 course information

Deakin code
M553
Level
Postgraduate (Graduate Certificate and Graduate Diploma)
Australian Qualifications Framework (AQF) recognition

The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 8

Course structure

To complete the Graduate Certificate of Artificial Intelligence for Business, students must attain a total of 4 credit points of core units and completion of the compulsory 0-credit point module, DAI001 Academic Integrity and Respect at Deakin.

Most units (think of units as 'subjects') are equal to 1 credit point.

Core units

  • People Analytics
  • Responsible Artificial Intelligence
  • Artificial Intelligence Strategies and Enterprise Applications
  • Machine Learning in Business
  • Compulsory 0-credit point module

    To be completed in the first trimester of study:-

  • Academic Integrity and Respect at Deakin
  • Intakes by location

    The availability of a course varies across locations and intakes. This means that a course offered in Trimester 1 may not be offered in the same location for Trimester 2 or 3. Check each intake for up-to-date information on when and where you can commence your studies.

    Trimester 1* - March

    • Start date: March
    • Available at:

      Burwood (Melbourne), Online

      *part-time study only in Trimester 1

    Trimester 2* - July

    • Start date: July
    • Available at:

      Burwood (Melbourne), Online

      *part-time study only in Trimester 2

    This course is not available to international students studying onshore in Australia.

    Trimester 1 and Trimester 2 is part-time study only.

    Course duration may be affected by delays in completing course requirements, such as failing of units or accessing or completing placements.

    Workload

    You can expect to participate in a range of teaching activities each week. This could include lectures, seminars, online interactions, or professional experiences for Work Integrated Learning (WIL) units. You can refer to the individual unit details in the course structure for more information. You will also need to study and complete assessment tasks in your own time.

    Work experience

    This course does not require students to undertake formal work integrated learning units.

    Entry requirements

    Selection is based on a holistic consideration of your academic merit, work experience, likelihood of success, availability of places, participation requirements, regulatory requirements, and individual circumstances. You will need to meet the minimum academic and English language proficiency requirements to be considered for selection, but this does not guarantee admission.

    Academic requirements

    To be considered for admission to this degree you will need to meet at least one of the following criteria:

    • completion of a bachelor degree or higher
    • at least two years’ relevant work experience (or part-time equivalent)

    English language proficiency requirements

    To meet the English language proficiency requirements of this course, you will need to demonstrate at least one of the following:

    Admissions information

    Learn more about Deakin courses and how we compare to other universities when it comes to the quality of our teaching and learning.

    Not sure if you can get into Deakin postgraduate study? Postgraduate study doesn’t have to be a balancing act; we provide flexible course entry and exit options based on your desired career outcomes and the time you are able to commit to your study.

    Recognition of prior learning

    The University aims to provide students with as much credit as possible for approved prior study or informal learning which exceeds the normal entrance requirements for the course and is within the constraints of the course regulations. Students are required to complete a minimum of one-third of the course at Deakin University, or four credit points, whichever is the greater. In the case of certificates, including graduate certificates, a minimum of two credit points within the course must be completed at Deakin.

    You can also refer to the recognition of prior learning (RPL) system which outlines the credit that may be granted towards a Deakin University degree and how to apply for credit.

    Fees and scholarships

    Fee information

    Estimated tuition fee - (CSP)?
    $5,873 - Commonwealth Supported Place (HECS)

    Learn more about fees.

    The available fee places for this course are detailed above. Not all courses at Deakin have Commonwealth supported places available.

    The 'Estimated tuition fee' is provided as a guide only and represents the typical tuition fees for students completing this course within the same year they started. The cost will vary depending on the units you choose, your study load, the length of your course and any approved Recognition of prior learning you have.

    The 'Estimated tuition fee' is calculated by adding together four credit points of study. Four credit points is used as it represents a typical enrolment load for a Graduate Certificate.

    Each unit you enrol in has a credit point value. The 'Estimated tuition fee' is calculated by adding together four credit points of a typical combination of units for your course.

    You can find the credit point value of each unit under the Unit Description by searching for the unit in the handbook.

    Learn more about fees and available payment options.

    Scholarship options

    A Deakin scholarship might change your life. If you've got something special to offer Deakin – or you just need the financial help to get you here – we may have a scholarship opportunity for you.

    Search or browse through our scholarships

    Postgraduate bursary

    If you’re a Deakin alumnus commencing a postgraduate award course, you may be eligible to receive a 10% reduction per unit on your enrolment fees.

    Learn more about the 10% Deakin alumni discount

    Apply now

    Apply directly to Deakin

    To apply, create an account in the Deakin Application Portal, enter your personal details and education experience, upload supporting documents and submit. Need help? Play this video, or contact one of our friendly future student advisers on 1800 693 888 or submit an online enquiry.

    Need more information on how to apply?

    For more information on the application process and closing dates, see the How to apply webpage. If you're still having problems, please contact us for assistance.

    Pathways

    This course acts as a pathway to any Deakin Business School Coursework masters degree that has provision for a minimum of 4 credit points of electives or for a faculty-wide specialisation to be taken as part of its structure.

    Further study options

    This course acts as a pathway to any Deakin Business School Coursework Masters degree that has provision for a minimum of four credit points of electives or for a Faculty-wide specialisation to be taken as part of its structure.

    Contact information

    Our friendly advisers are available to speak to you one-on-one about your study options, support services and how we can help you further your career.

    Careers

    Career outcomes

    This course provides you with the skills and knowledge to use and evaluate AI systems to complement your existing business career in job markets including:

    • accounting
    • finance
    • marketing
    • supply chain management.

    Course learning outcomes

    Deakin's graduate learning outcomes describe the knowledge and capabilities graduates can demonstrate at the completion of their course. These outcomes mean that regardless of the Deakin course you undertake, you can rest assured your degree will teach you the skills and professional attributes that employers value. They'll set you up to learn and work effectively in the future.

    Deakin Graduate Learning Outcomes Course Learning Outcomes
    Discipline-specific knowledge and capabilities Apply broad and integrated knowledge of artificial intelligence concepts and existing software, to research, identify and justify responsible solutions for organisation and social contexts.

    Communication Communicate complex considerations in oral and written form on the use and impact of existing artificial intelligence software to non-specialist audiences in organisation and social contexts.
    Digital literacy Use machine learning techniques and models to find and apply information that solve challenging business problems.

    Critical thinking Analyse and evaluate competing academic, professional and/or stakeholder issues when analysing complex organisation and social contexts where existing artificial intelligence software is being considered.
    Problem solving Identify and define organisational problems, formulate, evaluate alternatives, and recommend suitable artificial intelligence solutions based on organisational and societal needs.

    Self-management Not explicitly addressed as a learning outcome in this award
    Teamwork Not explicitly addressed as a learning outcome in this award
    Global citizenship Not explicitly addressed as a learning outcome in this award