Master of Information Technology

The Master of Information Technology at SSR Higher Education is a two-year coursework degree for people who want to work in artificial intelligence and need a formal qualification to get there. You will spend most of your time on programming, algorithms, data structures and the maths that sits under machine learning, then move into AI-specific units such as neural networks, natural language processing and computer vision. The later part of the degree usually includes an industry project or a research-based minor thesis, where you take a real problem and build something that works.

How the degree is structured

Australian master's degrees by coursework are normally one to two years full time, and this one runs for two. You study in semesters or trimesters, enrolling in units of study that each carry a set number of credit points. A full-time load is typically four units a semester, and you need to pass a certain number of credit points to graduate. Core units cover programming, databases, networks and AI fundamentals. Electives let you specialise in areas like deep learning, data engineering or cybersecurity. The final semester is often a capstone project or a research thesis, supervised by an academic, where you apply what you have learned to a single substantial piece of work.

What you actually learn

You will write code in Python and possibly Java or C++, work with libraries such as TensorFlow or PyTorch, and learn to clean and analyse data before you train a model. You will also study the ethics and legal side of AI, because Australian organisations now have to think about privacy, bias and accountability when they deploy these systems. Group projects are common, so you get practice explaining technical ideas to people who are not engineers. If the course includes a placement or industry project, you may spend time in a company or research group, which is how many students get their first local reference.

Who it suits

This degree suits two groups. The first is computing graduates who want to move into AI roles and need more depth than a bachelor's gives. The second is people from other technical backgrounds, maths, engineering, science, who have some programming experience and want to retrain. It is not a beginner's course in IT; you will be expected to pick up code quickly. If you are an international student, you can work up to 48 hours per fortnight while your course is in session, and after you finish you may be eligible for the Temporary Graduate visa (subclass 485) post-study work stream, which lets you stay and work in Australia for a period that depends on your qualification. English requirements for entry are set by the institution; check the official page for the exact score your application needs. Tuition is listed on the CRICOS register under course code 114039D.

• Machine learning engineer, building and training models for tech companies, banks and retailers.
• Data scientist, analysing data and communicating findings in health, finance, government and marketing.
• AI software developer, writing the code that puts AI features into apps and platforms.
• Computer vision engineer, working on image and video systems for agriculture, security or medical imaging.
• Natural language processing engineer, developing chatbots, search tools and text analysis systems.
• Research assistant or PhD candidate, supporting AI research at universities and CSIRO.
• AI consultant, helping organisations adopt AI responsibly, often in professional services firms.
• Data engineer, building the pipelines that feed AI systems, in demand across almost every industry.