MIS780 - Advanced Artificial Intelligence for Business

Unit details

Year

2026 unit information

Enrolment modes:Trimester 2: Burwood (Melbourne), GIFT City Campus, Online
Credit point(s):1
EFTSL value:0.125
Unit Chair:Trimester 2: Anagi Gamachchi
Cohort rule:Nil
Prerequisite:

MIS771 and MIS772 and MIS710

Corequisite:Nil
Incompatible with: MIS373
Educator-facilitated (scheduled) learning activities - on-campus unit enrolment:

1 x 1.5 hour on-campus (livestreamed) lecture (recordings provided) and 1 x 1.5 hour on-campus seminar each week

Educator-facilitated (scheduled) learning activities - online unit enrolment:

1 x 1.5 hour lecture (recordings provided) and 1 x 1.5 hour online seminar each week

Typical study commitment:

On average, students will spend 150 hours over the trimester undertaking scheduled classes, learning and assessment activities for this unit.

Note:

^GIFT City (India) offering is available to students enrolled at the GIFT City (India) campus only.

Content

Artificial Intelligence (AI) is enabling businesses to work more efficiently and smarter, which helps reduce operational cost, increase flexibility, grow revenue and improve customer experience. This unit will provide students with the knowledge and skills to develop and deploy advanced AI solutions for real world business problems. Advanced AI techniques such as deep learning, text mining, and intelligent systems will be introduced. Students will be given an opportunity to gain hands-on experience with the most widely used artificial intelligence software tools globally.

Learning outcomes

ULO These are the Unit Learning Outcomes (ULOs) for this unit. At the completion of this unit, successful students can:

Alignment to Deakin Graduate Learning Outcomes (GLOs)

ULO1

Appraise the suitability of major artificial intelligence and advanced machine learning concepts to solve business problems.

GLO1: Discipline-specific knowledge and capabilities
GLO5: Problem solving

ULO2

Design and develop artificial intelligence solutions for multifaceted business problems.

GLO1: Discipline-specific knowledge and capabilities
GLO3: Digital Literacy

ULO3

Critically evaluate and justify the feasibility and efficacy of artificial intelligence solutions in addressing real-world business requirements.

GLO1: Discipline-specific knowledge and capabilities
GLO4: Critical thinking

Assessment

Assessment Description Student output Grading and weighting
(% total mark for unit)
Indicative due week

Assessment 1: (Individual) Case study: Data analysis with written report (Analytical)

Data Analysis plus 800 words

30%

Week 5

Assessment 2: (Individual) Case study: Data analysis with written report (Analytical)

Data Analysis plus 1000 words

35%

Week 9
Assessment 3: (Individual) Report (Business) 3000 words 35% Information not yet available

The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.

Learning resource

The texts and reading list for MIS780 can be found via the University Library.

Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.

Unit Fee Information

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.

Estimate your fees

For further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods visit our Current Students website.