Master of Information Technology (MIT)

The Master of Information Technology (MIT) is designed to position graduates as highly skilled and knowledgeable professionals who work with data analytics and artificial intelligence (AI) to drive change and improve business outcomes.

What You Will Study

• The Master of Information Technology (MIT) is designed to position graduates as highly skilled and knowledgeable professionals that work use data analytics and artificial intelligence (AI) to drive change and improve business outcomes.
• The Master of Information Technology has been designed to create professionals equipped with the toolkit they need to tackle today’s most pressing decision support challenges for businesses and organisations, provide an understanding of theoretical and technological research advances in AI, particularly in the context of data analytics and applied artificial intelligence. In addition, students are given a good grounding in the ethical, cultural, and social responsibility they have as AI and data analytics professionals. The course also encourages them to be creative and entrepreneurial thinkers who can use Innovative thinking to help transform existing organisations and create new business ventures.
• Students have the opportunity to study current trends and predict future ones in the area of Artificial Intelligence and its associated technologies. A double capstone subject will enable students to synthesise their knowledge and skills in an applied task. Some students will engage in their own entrepreneurial venture and others will engage in applyingdata analytics and artificial intelligence techniques to industry related projects.
• Students will study a core of 8 subjects which provides a good grounding in managing data, programming, professional communication, AI and entrepreneurship. In addition, they have the flexibility to choose between two majors: Data Analytics or Applied Artificial Intelligence.

Career Outcomes
On successful completion of this course, students will demonstrate mastery of current theoretical principles and research outcoes in their major area of study to:

• Analyse complex real-world situations to identify opportunities for the application of advanced technological approaches that can transform existing organisations and support entrepreneurial business ventures;
• Critically analyse a complex problem, and evaluate a range of advanced technologies to select an appropriate solution methodology using an evidence-based justification;
• Generate creative solutions to address complex real-world problems by utilising advanced technologies and tools to design and implement software solutions and critically evaluate the outcomes;
• Communicate complex technical and theoretical concepts utilised in formulating detailed solution and implementation processes to a variety of audiences using advanced research, presentation and writing skills;
• Work collaboratively as a member and/or leader of diverse teams, employing appropriate interpersonal, professional, and technical communication skills;
• Critically analyse the role that legal compliance, ethical conduct and social responsibility play in advanced professional practice;
• Critically reflect on personal performance and learning as a basis for self-management and continuing professional and personal development.

Career Outcomes

• There are a wide range of opportunities for students with skills in the application of Artificial Intelligence and Data Analytics. Many organisations are seeking graduates who can manage large data sets and extract useful information from them. A recent SEEK.com search (March 16 2022), for example, identified 5452 positions that mentioned Data Analytics directly. The growing interest and use of AI is also providing opportunities with the SEEK.com survey listing 614 job opportunities in this area. It is likely, however, that employers who are seeking software and application developers will be attracted to a graduate who has software development skills with an AI emphasis on areas such as machine learning, perception and language, human-AI interaction, and decision-making. 

Some common employment options for graduates of the course include:

• Business Analyst
• Business Intelligence Developer.
• AI software developer.
• Machine Learning Engineer.