Why Master of Information Technology (Applied Artificial Intelligence)?
Artificial Intelligence (AI) technologies make life easier in so many respects – solving problems in healthcare, business and manufacturing, as well as in everyday life. As industries increasingly look to integrate AI into their operations, there’s a growing demand for skilled AI professionals who can implement it with efficiency and impact.
The Master of Information Technology (Applied Artificial Intelligence) will build your foundational knowledge and skills to apply artificial intelligence to meet growing industry demand.
By 2030, it is predicted that AI will generate $13 trillion in economic activity globally (The State of AI, McKinsey, 2023). This degree will prepare you with the skills to make data-informed decisions in the expanding market of AI technologies.
Overview
Build the skills necessary to graduate with a strong background in emerging technologies and policies, ready to meet growing industry demand.
The Master of Information Technology (Applied Artificial Intelligence) is aligned with the Australian Government’s 10-year AI Action Plan (2030). The degree provides you with a solid foundation in AI principles and practical applications of concepts and theories. Develop practical skills through industry-relevant projects, guided by experienced researchers and academics. Learn computing foundations before diving into the world of AI and machine learning.
These skills will help you to graduate ready to explore the possibilities of AI. Carve out a fascinating career path that aligns with your interests, whether it is in healthcare, finance, manufacturing, retail or another sector that’s implementing AI solutions.
Key features
Develop foundational skills in artificial intelligence.- Apply course concepts to create innovative AI solutions.
- Common first four courses in all Master of IT degrees provide flexibility to change specialisations.
- Gain practical insights into AI and form valuable industry connections.
- Explore ethical and social implications of new technologies.
What you'll learn
Your degree will equip you with the tools needed for your future career by adopting a practical approach.
In your first year, you’ll develop strong theoretical knowledge in the application and fundamentals of AI principles, before moving into specialised elective courses in the second year. These electives are dependent on your desired career outcomes and might include topics in:
- Computer vision
- Deep learning architectures
- Generative AI
- Natural language processing
- Network modelling
- Robotics and autonomous systems.
Throughout, you’ll develop the skills necessary to be innovative in the use of AI and machine learning tools through research opportunities and an industry-based project.
This degree offers flexible hybrid delivery, which includes a mix of on-campus and online study.
You’ll be able to complete the majority of first year common courses at either our Adelaide City or Mawson Lakes Campus with some potential cross-campus study required. Throughout your degree, you’ll gain access to cutting-edge facilities across both campus locations to enhance your overall learning experience.
Specialisations
The Master of Information Technology is also available with specialisations in:
- Computing and Innovation
- Cyber Security
- Enterprise Management.
What courses you'll study
Complete 96 units comprising:
- 78 units for all Core courses, and
- 18 units for all Work integrated learning
Complete 78 units for ALL of the following:
| Course name | Course code | Units | |
|---|---|---|---|
|
Course name
Information Technology and Systems Concepts
|
Course code
COMP5031
|
Units
6
|
|
|
Course name
Security Principles
|
Course code
INFO5001
|
Units
6
|
|
|
Course name
Data in Information Technology Systems
|
Course code
COMP5003
|
Units
6
|
|
|
Course name
Problem Solving and Programming Foundations
|
Course code
COMP5002
|
Units
6
|
|
|
Course name
Applied Artificial Intelligence and Machine Learning
|
Course code
ARTI5002
|
Units
6
|
|
|
Course name
Entrepreneurial Thinking
|
Course code
BUSI5014
|
Units
6
|
|
|
Course name
Innovative and Emerging Technologies
|
Course code
COMP5032
|
Units
6
|
|
|
Course name
Applied Artificial Intelligence and Machine Learning 2
|
Course code
COMP6026
|
Units
6
|
|
|
Course name
Security Principles
|
Course code
INFO5001
|
Units
6
|
|
|
Course name
Business Intelligence
|
Course code
INFO5006
|
Units
6
|
|
|
Course name
Business Process Management
|
Course code
INFO6007
|
Units
6
|
|
|
Course name
Data Taming and Prediction
|
Course code
MATHX105
|
Units
6
|
|
|
Course name
Project Management for IT Professionals
|
Course code
PROJ5001
|
Units
6
|
|
|
Course name
Statistical Foundations for Data Science and Artificial Intelligence
|
Course code
STAT5020
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
| Year 1 | |||
| Semester 1 | |||
 |
Course name
Problem Solving and Programming Foundations
|
Course code
COMP5002
|
Units
6
|
|
Course name
Data in Information Technology Systems
|
Course code
COMP5003
|
Units
6
|
|
Course name
Information Technology and Systems Concepts
|
Course code
COMP5031
|
Units
6
|
|
Course name
Security Principles
|
Course code
INFO5001
|
Units
6
|
| Semester 2 | |||
|
Course name
Industry Research Project
|
Course code
COMP5800
|
Units
6
|
|
Course name
Business Intelligence
|
Course code
INFO5006
|
Units
6
|
|
Course name
Project Management for IT Professionals
|
Course code
PROJ5001
|
Units
6
|
|
Course name
Statistical Foundations for Data Science and Artificial Intelligence
|
Course code
STAT5020
|
Units
6
|
| Year 2 | |||
| Semester 1 | |||
|
Course name
Data Taming and Prediction
|
Course code
MATHX105
|
Units
6
|
|
Course name
Applied Artificial Intelligence and Machine Learning
|
Course code
ARTI5002
|
Units
6
|
|
Course name
Entrepreneurial Thinking
|
Course code
BUSI5014
|
Units
6
|
|
Course name
Business Process Management
|
Course code
INFO6007
|
Units
6
|
| Semester 2 | |||
|
Course name
Innovative and Emerging Technologies
|
Course code
COMP5032
|
Units
6
|
|
Course name
Applied Artificial Intelligence and Machine Learning 2
|
Course code
COMP6026
|
Units
6
|
|
Course name
ICT Master Capstone Project 1
|
Course code
COMP6024
|
Units
6
|
|
Course name
ICT Master Capstone Project 2
|
Course code
COMP6000
|
Units
6
|
Complete 18 units for ALL of the following:
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Industry Research Project
|
Course code
COMP5800
|
Units
6
|
|
|
Course name
ICT Master Capstone Project 1
|
Course code
COMP6024
|
Units
6
|
|
|
Course name
ICT Master Capstone Project 2
|
Course code
COMP6000
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
| Year 1 | |||
| Semester 1 | |||
|
Course name
Problem Solving and Programming Foundations
|
Course code
COMP5002
|
Units
6
|
|
Course name
Data in Information Technology Systems
|
Course code
COMP5003
|
Units
6
|
|
Course name
Information Technology and Systems Concepts
|
Course code
COMP5031
|
Units
6
|
|
Course name
Security Principles
|
Course code
INFO5001
|
Units
6
|
| Semester 2 | |||
|
Course name
Industry Research Project
|
Course code
COMP5800
|
Units
6
|
|
Course name
Business Intelligence
|
Course code
INFO5006
|
Units
6
|
|
Course name
Project Management for IT Professionals
|
Course code
PROJ5001
|
Units
6
|
|
Course name
Statistical Foundations for Data Science and Artificial Intelligence
|
Course code
STAT5020
|
Units
6
|
| Year 2 | |||
| Semester 1 | |||
|
Course name
Data Taming and Prediction
|
Course code
MATHX105
|
Units
6
|
|
Course name
Applied Artificial Intelligence and Machine Learning
|
Course code
ARTI5002
|
Units
6
|
|
Course name
Entrepreneurial Thinking
|
Course code
BUSI5014
|
Units
6
|
|
Course name
Business Process Management
|
Course code
INFO6007
|
Units
6
|
| Semester 2 | |||
|
Course name
Innovative and Emerging Technologies
|
Course code
COMP5032
|
Units
6
|
|
Course name
Applied Artificial Intelligence and Machine Learning 2
|
Course code
COMP6026
|
Units
6
|
|
Course name
ICT Master Capstone Project 1
|
Course code
COMP6024
|
Units
6
|
|
Course name
ICT Master Capstone Project 2
|
Course code
COMP6000
|
Units
6
|
Career outcomes
AI has risen as a game-changing influence, reshaping industries worldwide. With its rapid advancement, AI unveils a range of exciting career prospects.
You may find yourself working in health care, using AI to assist in medical diagnosis and drug discovery. AI is also changing the face of finance – you could use technologies to enable fraud detection and algorithmic trading. Employment is available in a range of industries including tech companies, consulting firms, start-ups and research institutions.
Graduates of this degree can also explore potential careers as an:
- AI consultant
- AI data analyst
- Digital strategist
- AI policy specialist.
Industry trends
Australia is leading the future in developing international technical standards for AI. By 2027, over 75% of Australian businesses are expected to adopt the use of AI – leading to the creation of more jobs for artificial intelligence and machine learning professionals.
As part of the Australian Government’s AI Action Plan, approximately $124 million will be invested in Australia’s AI capabilities over the next four years.
The Australian Government is also committed to creating the National AI Centre and four AI and Digital Capability Centres. These centres will drive the adoption and use of AI technologies by Australian businesses – and coordinate AI and expertise from across the country (Australia’s Artificial Intelligence (AI) Action Plan, 2023).
Accreditation
This program is provisionally accredited at the level of Professional by the Australian Computer Society (ACS). Graduates are eligible for membership with the ACS and are recognised internationally through the Seoul Accord.
Ready to apply?
Please note that a non-refundable application fee of AUD$150 applies for every application submitted to Adelaide University.
Your study experience and support
Adelaide University sets you up for success in your studies – and your social life. You’ll have access to work placement and internship opportunities, overseas study tours and exchanges, networking events with guest speakers and more. Our campuses are equipped with purpose-built facilities including lecture theatres, libraries, workshops, laboratories, and spaces that simulate real work environments. These are all supported by the latest technologies and a 24/7 online learning platform with personalised study information and resources.
You’ll have everything you need to live well and thrive during your studies, with health services on campus, gymnasiums, technology zones and modern student lounges. Get involved in campus sport or join our student clubs that will connect you to your passions – and the people who share them.
Adelaide also has a variety of accommodation options to suit your individual requirements and budget, with options ranging from dedicated student accommodation to private rentals. One of the world’s most liveable cities, Adelaide has lots of leafy parks, gardens and social hubs – and some of the highest living standards globally. No matter where you are in Adelaide, you’re only a short distance from beaches, vineyards, museums, art galleries, restaurants, bars and parklands. Visit the accommodation web page to find out more.
Student services
We’re here to support you on your student journey. Adelaide University offers a range of support services and facilities, including:
- Career advice and mentoring services
- Personal counselling
- LGBTQIA+ support
- Academic support
- Fees and finance help
- Security services
- Accommodation services
- Common rooms
- Prayer rooms.
You’ll also have unlimited access to our dedicated student support hub. Visit in-person or online, or contact our friendly team by phone. We can assist you with anything study-related including enrolment, identification cards, timetables, fees and more.
Your campus
You'll be studying at one of our renowned campuses, accessing cutting-edge facilities and contemporary study spaces.
Study hours
Your courses will require a combination of different learning formats, including lectures, tutorials, workshops, seminars and practicals. Aside from your classes, you’ll also need to allocate additional time for independent study. This may include assignments, readings, projects and contributing to online discussion forums. As a rough guide, full-time studies may require 12-26 hours of class time and 14-18 hours of independent study per week.
Assessment
During your studies at Adelaide University, you’ll complete a mixture of practical, professional and research-based learning. Your assessment types will vary depending on the degree you’re studying, but may include:
- Case studies
- Essays and assignments
- Examinations
- Group projects
- Internships and placements
- Practicals
- Presentations
- Reports and project documentations
- Research projects
- Workplace and classroom contributions.
