Graduate Certificate of Artificial Intelligence for Business

Postgraduate coursework

Deakin's Graduate Certificate of Artificial Intelligence for Business provides students with knowledge and skills to introduce AI thinking into a business organisation.

Key facts

English language requirements

6.5/6 - Overall 6.5, no band less than 6.0

Duration

0.5 year full-time or part-time equivalent

Campuses

Current Deakin Students

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

Course information

The business landscape is changing rapidly with the advancement of Artificial Intelligence (AI), which includes cognitive automation, business process automation, robotics, (augmented) virtual reality, machine learning, and big data analytics. There is an increasing push for business professionals to improve 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.

This course aims to provide students with knowledge and skills to introduce AI thinking into a business organisation. It provides students with an opportunity to formulate ethically responsible AI-driven business strategies, and use existing commercial AI software in contexts including marketing, supply chain management and finance. It will also provide students with an opportunity to explore challenges and pitfalls of using existing commercial AI software in business contexts.

The course will comprise 4 credit points of study. The course duration will be 1 year part-time equivalent.

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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 unit, MAI010 Academic Integrity.

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

Core units

  • Digital Transformation of Supply Chains
  • Artificial Intelligence for Accounting and Finance
  • Artificial Intelligence for Business
  • Marketing Analytics
  • Compulsory 0-credit point unit

    To be completed in the first trimester of study:-

  • Academic Integrity
  • Key information

    Award granted
    Graduate Certificate of Artificial Intelligence for Business
    Year

    2021 Course information

    Deakin code
    M553
    Level
    Postgraduate (Graduate Certificate and Graduate Diploma)
    Approval status
    The course is approved by the University pursuant to the Higher Education
    Standards Framework
    Australian Qualifications Framework (AQF) recognition
    The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 8

    Campuses by intake

    Campus availability varies per trimester. This means that a course offered in Trimester 1 may not be offered in the same location for Trimester 2 or 3. Read more to learn where this course will be offered throughout the year.

    Trimester 1 - March

    • Start date: March
    • Available at:

      Cloud (online)

    Trimester 2 - July

    • Start date: July
    • Available at:

      Cloud (online)

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

    Workload

    There is an expectation that the students will undertake at least 150 hours of learning and assessment activities per Deakin credit point.

    Work experience

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

    Entry requirements

    Entry information

    Deakin University offers admission to postgraduate courses through a number of Admission categories. To be eligible for admission to this program, applicants must meet the course requirements.

    All applicants must meet the minimum English language requirements.

    Please note that meeting the minimum admission requirements does not guarantee selection, which is based on merit, likelihood of success and availability of places in the course.

    For more information on the Admission Criteria and Selection (Higher Education Courses) Policy visit the Deakin Policy Library.

    Minimum admission requirements:

    • Bachelor degree or higher, OR
    • two years of relevant work experience, OR
    • evidence of academic capability judged to be equivalent

    Recognition of prior learning

    If you have completed previous studies which you believe may reduce the number of units you have to complete at Deakin, indicate in the appropriate section on your application that you wish to be considered for Recognition of Prior Learning. You will need to provide a certified copy of your previous course details so your credit can be determined. If you are eligible, your offer letter will then contain information about your Recognition of Prior Learning.
    Your Recognition of Prior Learning is formally approved prior to your enrolment at Deakin during the Enrolment and Orientation Program. You must bring original documents relating to your previous study so that this approval can occur.

    You can also refer to the Recognition of Prior Learning System which outlines the credit that may be granted towards a Deakin University degree.

    Fees and scholarships

    Fee information

    Estimated tuition fee - full-fee paying place

    The 'Estimated tuition fee' is provided as a guide only based on a typical enrolment of students completing this course within the same year in which 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. 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 tuition fees.

    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 15% reduction per unit on your enrolment fees. Your Immediate Family Members may also be eligible to apply for this bursary.

    Learn more about Deakin’s 15% postgraduate bursary

    Apply now

    How to apply

    Apply through Deakin

    Applications can be made directly to the University through StudyLink Connect - Deakin University's International Student Application Service. For information on the application process and closing dates, see the How to apply web page. Please note that closing dates may vary for individual courses.

    Deakin International office or Deakin representative

    Fill out the application form and submit to a Deakin International office or take your application form to a Deakin representative for assistance

    Need more information on how to apply?

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

    Entry pathways

    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.

    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.

    Why choose Deakin

    Career outcomes

    This course provides students with skills and knowledge to succeed as business professionals,in their jobs in future,which increasingly are being transformed by artificial intelligence. All business professionals need skills and knowledge in using and evaluating artificial intelligence software to augment their work in job markets ranging from marketing, accounting, finance, supply chain management and other fields.

    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.

    Graduate Learning Outcome Course Learning Outcome
    Discipline specific knowledge and capabilities

    Apply broad and integrated knowledge of artificial intelligence concepts and existing software, to research, identify and justify 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

    Not explicitly addressed as a learning outcome in this award.

    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

    Apply ethical, social and environmental responsibility frameworks to illustrate the benefits and impact the use of artificial intelligence solutions has in organisational and societal contexts.