Graduate Certificate of Artificial Intelligence for Business

2024 Deakin University Handbook

Year	2024 course information
Award granted	Graduate Certificate of Artificial Intelligence for Business
Deakin course code	M553
Faculty	Faculty of Business and Law
Campus	Offered at Burwood (Melbourne)
Online	Yes
Duration	1 year part-time
Course Map - enrolment planning tool	This course map is for new students commencing from Trimester 1 2024 This course map is for new students commencing from Trimester 2 2024 Course maps for commencement in previous years are available on the Course Maps webpage or please contact a Student Adviser in Student Central.
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

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.

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

marketing
accounting
finance
supply chain management.

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 the type of fee place you hold, your course, your commencement year, the units you choose to study and their study discipline, 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. For further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods visit our Current students 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, DAI001 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:-

DAI001

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.

Other course information

Course duration

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

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.