Master of Information Technology Specialisation in Artificial Intelligence
Course Overview
The Artificial Intelligence (AI) specialisation within the Master of Information Technology (MIT) offers students the opportunity to develop expertise in one of the most dynamic and impactful areas of computing today. Designed for graduates from both IT and non-IT backgrounds, the program provides a broad IT foundation before enabling students to specialise in the theories, tools, and applications of AI.
The curriculum covers a wide spectrum of AI concepts, from machine learning and deep learning through to natural language processing, and ethical AI. Students develop the ability to design, train, and evaluate intelligent systems, and critically assess the implications of AI in industry, society, and research. Practical learning is a core feature, with students engaging in lab-based projects, case studies, and applied research. The Applied Project provides students the opportunity to work on complex AI solutions for real-world problems, demonstrating innovation, technical proficiency, and ethical awareness to prospective employers.
As global demand for AI expertise continues to expand, this specialisation positions graduates for different AI careers to apply AI solutions across a wide range of industries.
Course Structure
To qualify for the award, students are required to successfully complete the seven (7) core units listed below, plus three (3) specialisation units, plus two (2) electives from the provided options. This totals to 12 units which is equivalent to 96 credit points.
Core Units
| Unit Code and Title | Credit Points* | Pre-requisite(s) |
|---|---|---|
| ICT5150 Information Systems | 8 | Nil |
| ICT5151 Data and Information Management | 8 | Nil |
| ICT5152 Software and Systems Design | 8 | Nil |
| ICT5201 Research Methods and Data Analysis | 8 | 24 Credit Points |
| ICT5250 Computer Networks and Security | 8 | ICT5150 Information Systems |
| PRJ5003 Project Constraint Management | 8 | Nil |
| ICT6001 Applied Project | 8 | ICT5201 Research Methods and Data Analysis |
*A unit worth 8 credit points is equal to 0.167 Equivalent Full-Time Student Load (EFTSL).
Specialisation Units
| Unit Code and Title | Credit Points* | Pre-requisite(s) |
|---|---|---|
| ICT5356 Principles of Artificial Intelligence^ | 8 | ICT5150 Information Systems |
| ICT5357 Problem-solving and Decision-Making with Machine Learning^ | 8 | ICT5356 Principles of Artificial Intelligence |
| ICT5358 Unleashing the Power of Generative AI Models^ | 8 | ICT5152 Software and Systems Design ICT5356 Principles of Artificial Intelligence |
*A unit worth 8 credit points is equal to 0.167 Equivalent Full-Time Student Load (EFTSL).
Elective Units
Select one (1) ICT elective of choice denoted by (^), plus one (1) other elective of choice.
| Unit Code and Title | Credit Points* | Pre-requisite(s) |
|---|---|---|
| ICT5253 Cloud Architectures and Solutions^ | 8 | ICT5150 Information Systems ICT5151 Data and Information Management |
| ICT5350 Securing IT Systems^ | 8 | ICT5250 Computer Networks and Security |
| ICT5351 Cyber Defence^ | 8 | ICT5250 Computer Networks and Security |
| ICT5352 Cyber Security Management^ | 8 | ICT5250 Computer Networks and Security |
| ICT5354 Enterprise Network Design^ | 8 | ICT5250 Computer Networks and Security |
| ICT5355 Emerging Network Technologies^ | 8 | ICT5250 Computer Networks and Security |
| PRJ5001 Project Management Profession | 8 | Nil |
| PRJ5002 Enterprise and Resource Planning | 8 | Nil |
| PRJ5004 Procurement, Quality and Risk Management | 8 | Nil |
| BUS5001 Ethical Legal and Industrial Frameworks | 8 | Nil |
| BUS5005 Digital Transformation in Business | 8 | Nil |
| BUS6003 Business Law | 8 | Nil |
| BUS6005 International Business | 8 | Nil |
*A unit worth 8 credit points is equal to 0.167 Equivalent Full-Time Student Load (EFTSL).
Admission Requirements
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Entry Requirements
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English Language Requirements(For International Students)
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FEE-HELP(For Domestic Students)
The following academic admission criteria apply to all applicants to courses at APIC that lead to the award of an AQF Level 9 qualification. Additional English language requirements for international students are provided in the next tab.
Admission will be granted to applicants who meet any ONE of the following criteria:
- Successfully completed a Bachelor’s degree (AQF 7) or higher, awarded by a recognised university or higher education institution or its international equivalent, in any discipline; OR
- Applicants who have completed a postgraduate preparation program.
For more information on admission requirements including special entry requirements, please refer to the APIC Admission Policy.
All applicants from a non-English speaking background applying to a Master or Graduate Diploma course at APIC must satisfy ONE of the following English language requirements:
- IELTS Academic: overall band score of 6.5 or higher, with a minimum score of 6.0 in writing and speaking; OR
- IBT (Internet-based TOEFL): Overall score of 79 with a writing section minimum of 21 and speaking 18; OR
- Cambridge Certificate of Proficiency in English (CPE): Overall score 180, writing and speaking 180; OR
- Cambridge Certificate of Advanced English (CAE): Overall 176 with a writing and speaking minimum score of 169: OR
- PTE Academic Module with a minimum score of 58 with a writing and speaking section minimum of 50.
FEE-HELP is a Commonwealth Government loan available to eligible students enrolled in APIC Courses in order to help pay all or part of their tuition fees.
FEE-HELP is available for all Units of Study for eligible students.
Details about HELP loans including eligibility requirements and repayment of a HELP debt can be found here.
The current FEE-HELP Information Booklet can be downloaded here.
If you have any questions about applying for FEE-HELP please contact us at: [email protected]
Course Learning Outcomes
Graduates of MIT will be able to:
- Master the core body of information technology knowledge.
- Articulate project and IT systems management issues and principles.
- Appraise current and emerging approaches and technologies in information technology.
- Integrate ethical considerations into IT solutions and professional practices.
- Communicate complex information technology concepts and solutions to specialists, non-specialists, and collaborators.
- Create justifiable innovative solutions to complex information technology problems through independent research, industry standard technologies and methodologies.
Accreditation
- APIC courses are nationally accredited and registered by the Tertiary Education Quality and Standards
Agency (TEQSA) and included in the National Register of Higher Education Providers. - APIC is registered on the Commonwealth Register of Institutions and Courses for Overseas Students
(CRICOS). MIT CRICOS Code is 108729F.
Skill Development
- Build and train machine learning models
- Apply deep learning with CNNs and RNNs
- Develop natural language processing
- Use AutoML and data-driven forecasting tools
- Design and test generative AI applications
- Apply prompt engineering
- Evaluate ethical and social impacts of AI
Career Outcomes
Possible employment:
- Data Scientist
- AI Research Scientist
- AI/Machine Learning Engineer
- AI Consultant
- AI Engineer
- Machine Learning Specialist
- Data Scientist
- Natural Language Processing (NLP) Engineer
- Business Intelligence Analyst
- AI Solutions Architect
- Research and Development Specialist