Graduate Certificate of Artificial Intelligence for Business
2023 Deakin University Handbook
| Year | 2023 course information |
|---|---|
| Award granted | Graduate Certificate of Artificial Intelligence for Business |
| Course Map | This course map is for new students commencing from Trimester 1 2023. This course map is for new students commencing from Trimester 2 2023. Course maps for commencement in previous years are available on the Course Maps webpage or please contact a Student Adviser in Student Central. |
| Campus | Offered at Burwood (Melbourne) |
| Online | Yes |
| Duration | 1 year part-time |
| Deakin course code | M553 |
| Approval status | This course is approved by the University under 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. |
This course is not available to international students studying onshore in Australia. Trimester 1 and Trimester 2 is part-time study only. | |
Course sub-headings
- Course overview
- Indicative student workload
- Career opportunities
- Pathways
- Fees and charges
- Course Learning Outcomes
- Course rules
- Course structure
- Work experience
- Research and research-related study
Course overview
The business landscape is changing rapidly with the advancement of Artificial Intelligence (AI). Cognitive automation, business process automation, robotics, (augmented) virtual reality, machine learning, and big data analytics are fast becoming highly sought-after areas of expertise. There's 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 provides you with the knowledge and skills to introduce AI thinking into a business organisation. You'll 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'll also gain the opportunity to explore challenges and pitfalls of using existing commercial AI software in business contexts.
The course comprises 4 credit points of study. Course duration is 1 year part-time equivalent.
Indicative student workload
There is an expectation that the students will undertake at least 150 hours of learning and assessment activities per Deakin credit point.
Career opportunities
This course provides students with the skills and knowledge to succeed as business professionals, in their jobs in the 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.
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.
Fees and charges
Fees and charges vary depending on your course, the type of fee place you hold, your commencement year, the units you choose and your study load.
Tuition fees increase at the beginning of each calendar year and all fees quoted are in Australian dollars ($AUD). Tuition fees do not include textbooks, computer equipment or software, other equipment or costs such as mandatory checks, travel and stationery.
Use the Fee estimator to see course and unit fees applicable to your course and type of place. Further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods is available on our Current students fees website.
Course Learning Outcomes
| 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 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 |
Course rules
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, MAI010 Academic Integrity Module.
Most units (think of units as 'subjects') are equal to 1 credit point.
Course structure
Compulsory 0-credit point module
To be completed in the first trimester of study:-
| MAI010 | Academic Integrity Module |
Core units
| MIS714 | People Analytics |
| MIS715 | Responsible Artificial Intelligence |
| MIS716 | Artificial Intelligence Strategies and Enterprise Applications |
| MIS710 | Machine Learning in Business |
Work experience
This course does not require students to undertake formal work integrated learning units.
Further information
Student Central can help you with course planning, choosing the right units and explaining course rules and requirements.
- Contact Student Central
Research and research-related study
Components of research and research-related study are embedded across a number of units in this course where student achievement is demonstrated in specific assessment tasks.