Macquarie University
Master of Information Technology in Artificial Intelligence
- Delivery: Face to Face
- Study Level: Postgraduate
- Duration: 24 months
- Course Type: Master's
Learn advanced AI theory blended with practical applications, preparing you to design innovative solutions in machine learning, data analytics and intelligent systems.
Course overview
The Master of Information Technology in Artificial Intelligence aims to prepare students for jobs in the growing artificial intelligence sector. The program will impart in students the relevant skills, both theoretical and practical. Students graduating from this program will be able to understand and explain to a diverse audience the fundamental principles underpinning AI and the limitations that AI has to operate under. They will also have direct practical experience in developing AI solutions for pertinent business problems and assessing the sustainability of such solutions. Given the far-reaching consequences of AI technologies, students will develop a demonstrable and adequate understanding and appreciation of its ethical, legal and other socioeconomic implications.
The Artificial Intelligence specialisation will provide you with the advanced knowledge and skills required for a successful career working with AI systems. You’ll critically examine emerging trends and topics like machine learning and natural language understanding. You’ll also consider ethical and legal questions about AI systems and learn about core AI techniques and the business context in which they operate. You’ll also have many opportunities to undertake practical hands-on experience developing and assessing AI solutions for business, including the option of an industry-based internship or supervised research project.
Prior experience in programming and statistics will be advantageous but not necessary for incoming students. Given AI's extensive implications in various aspects of modern society, the students will benefit from the expertise of Computer Scientists and have the opportunity to learn from experts in cognate disciplines such as Law, Philosophy and Business.
Key facts
What you will study
To complete the Master of Information Technology in Artificial Intelligence, you must fulfil 160 credit points. Each unit is valued at 10 credit points unless otherwise indicated.
Foundation Zone (80 Credit Points)
- Foundations of Computer Programming
- Introductory Statistics
- Data Science
- Database Systems
- Intelligent Machines, Ethics and Law
- Knowledge, Planning and Decision-Making under Uncertainty
- Artificial Intelligence for Text and Vision
- Business Applications of Artificial Intelligence
Core Zone (60 Credit Points)
- Advanced Machine Learning
- Rights, Responsibilities and AI
- Advanced Natural Language Processing
- Advanced Computer Vision and Action
- Major Project (20 Credit Points)
Entry requirements
Two years (160 credit points)
- AQF Level seven bachelor's qualification in a related discipline or recognised equivalent.
English language requirements
When applying to study at Macquarie University, you must provide evidence of proficiency in English.
The required standard of English for this degree is:
- Minimum IELTS band scores required:
- Reading: six
- Listening: six
- Speaking: six
- Overall score: 6.5
You may satisfy the English language requirements by:
- Passing an approved English language test at the required level.
- Qualifying an approved country with English as the language of instruction.
Please contact the university for complete details.
Recognition of Prior Learning
With recognition of prior learning (RPL), you could get credit for your prior study and experience, reducing the duration of your studies. Credit is awarded for formal and informal or non-formal learning. You’ll need to apply for RPL once you receive your offer to study at Macquarie.
Contact the university for more information.
Outcomes
Career outcomes
Graduates may pursue careers in roles such as:
- Data Analyst
- Data Engineer
- Data Scientist
- Machine Learning Specialist
- Research Scientist
- Robotics Engineer
- Software Developer
- Software Engineer
- Solutions Architect
Learning outcomes
On successful completion, you will be able to:
- Integrate knowledge and evaluation to clearly define the principles and limitations of artificial intelligence (AI).
- Develop solutions for complex business challenges using AI methods and technologies.
- Critically reflect on the ethical, legal, and socioeconomic implications of AI.
- Analyse and explain the applications of AI across various fields and practices.
- Assess the sustainability of AI solutions within the context of the industry.
- Communicate complex information about AI concepts and projects to both specialist and non-specialist audiences.
Fees and FEE-HELP
Estimated annual fee in 2025: $33,100 (domestic full-fee paying place)
The estimated fee displayed is based on a standard full-time study load. Fees may increase each year. For courses longer than one year in duration, you'll pay the fee that is current for the year that you enrol.
A student’s annual fee may vary in accordance with:
- The number of units studied.
- Choice of units.
- Credit from previous study or work experience.
- Eligibility for government-funded loans.
Student fees shown are subject to change. Contact the university directly to confirm.
FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.