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 |
ULO2 | Design and develop artificial intelligence solutions for multifaceted business problems. | GLO1: Discipline-specific knowledge and capabilities |
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 |
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.
For further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods visit our Current Students website.