Master of Artificial Intelligence

The Master of Artificial Intelligence program is designed for non-computing graduates with good grades in their first university degree and/or recent industry experience in a non-computing field.

Your background may range from having few computing skills, to having a partial or less "hands-on" software-oriented computer science background.This program provides breadth of high-level computing knowledge as well as depth in Artificial Intelligence (AI) and the design and implementation of AI Systems.

We are in an era of rapid technological change which will increasingly see AI computer systems take over control and decision making in diverse areas and driving economic growth, public policy and corporate strategy.

This program will prepare you for a career as an AI Professional in this emerging area.

You will be able to apply advanced AI knowledge in a range of contexts for professional practice or scholarship and also as a pathway for further learning.

Job titles for AI professionals are very diverse, for example:

AI engineer, Machine Learning engineer, business intelligence developer, research scientist and web analyst.In this program you will undertake a capstone project in the 24 credit point course [COSC2777] Artificial Intelligence Postgraduate Project.

This capstone project course provides you with hands on practical experience of an AI development project.

The emphasis is on understanding and working within a corporate environment and integrating all the skills and knowledge that you have acquired from your previous courses into a solid base to progress from into your professional life.

If you would prefer to undertake a higher degree by research path you will be able to substitute the capstone project with a research minor thesis enabling your research career.Program is delivered on campus.

Some courses may be available online.

Year One of Program

Complete the following Six (6) courses:

Select and complete One (1) course from Artificial Intelligence Options List: Please refer to the list of Artificial Intelligence Option Courses at the end of the program structure.

Select and complete One (1) course from Information Technology Options List: Please refer to the list of Information Technology Option courses at the end of the program structure.

AND

Year Two of Program

Complete the following four (4) courses:

AND

Project/Research Options

Project Option: Complete the following One (1) course:

Select and complete One (1) course from Artificial Intelligence Options List: Please refer to the list of Artificial Intelligence Option courses at the end of the program structure.

Select and complete One (1) course from Information Technology Options List: Please refer to the list of Information Technology Option courses at the end of the program structure.

Research Option: Complete the following Two (2) Courses:

Select and complete One (1) courses from Artificial Intelligence Options List: Please refer to the list of Artificial Intelligence Option Courses at the end of this program structure.

AND

Artificial Intelligence

Artificial Intelligence Options List:

AND

Information Technology

Information Technology Options List:

Program Entry Requirements:

An Australian Bachelor degree or equivalent with a grade point average (GPA) of at least of 2.0 out of 4.0, in one of the following disciplines: computing, science, engineering, health or statistics.

OR

You may also be considered if you have an Australian Bachelor degree or equivalent with a GPA of at least 2.0 out of 4.0 in another discipline and; relevant completed higher education courses in programming and statistics or a minimum three years’ of current, relevant work experience or professional practice in programming and statistics or equivalent. These applications will be assessed on a case-by-case basis.

English Language Requirements:

English Language requirement: English IELTS language test score of 6.5 with no band less than 6.0 or equivalent, such as TOEFL (Paper based) = 580+ (TWE 4.5+), or TOEFL (Computer based) = 237+ (TWE 4.5+) or REW English for Academic Purposes Advanced 1&2

You are expected to develop the following Program Learning Outcomes:

Enabling Knowledge (PLO1)

You will gain skills as you apply knowledge with creativity and initiative to new situations. In doing so, you will:

• Demonstrate mastery of a body of knowledge that includes recent developments in Artificial Intelligence, Computer Science and Information Technology;
• Understand and use appropriate and relevant, fundamental and applied Artificial Intelligence knowledge, methodologies and modern computational tools;
• Recognise and use research principles and methods applicable to Artificial Intelligence.

Critical Analysis (PLO2)

You will learn to accurately and objectively examine, and critically investigate Computer Science, Information Technology (IT) and statistical concepts, evidence, theories or situations, in particular to:

• Analyse and model complex requirements and constraints for the purpose of designing and implementing software artefacts and IT systems;
• Evaluate and compare designs of software artefacts and IT systems on the basis of organisational and user requirements;
• Bring together and flexibly apply knowledge to characterise, analyse and solve a wide range of Artificial Intelligence problems.

Problem Solving (PLO3)

Your capability to analyse complex problems and synthesise suitable solutions will be extended as you learn to:

• Design and implement software solutions that accommodate specified requirements and constraints, based on analysis or modelling or requirements specification;
• Apply an understanding of the balance between the complexity / accuracy of the Artificial Intelligence techniques used and the timeliness of the delivery of the solution.

Communication (PLO4)

You will learn to communicate effectively with a variety of audiences through a range of modes and media, in particular to:

• Interpret abstract theoretical propositions, choose methodologies, justify conclusions and defend professional decisions to both IT and non-IT personnel via technical reports of professional standard and technical presentations.

Team Work (PLO5)

You will learn to work as an effective and productive team member in a range of professional and social situations, in particular to:

• Work effectively in different roles, to form, manage, and successfully produce outcomes from collaborative teams, whose members may have diverse cultural backgrounds and life circumstances, and differing levels of technical expertise.

Responsibility (PLO6)

You will be required to accept responsibility for your own learning and make informed decisions about judging and adopting appropriate behaviour in professional and social situations. This includes accepting the responsibility for independent life-long learning and a high level of accountability. Specifically, you will learn to:

• Effectively apply relevant standards, ethical considerations, and an understanding of legal and privacy issues to designing Artificial Intelligence software, applications and IT systems;
• Reflect on experience and improve your own future practice;
• Locate and use data and information and evaluate its quality with respect to its authority and relevance.

Research and Scholarship (PLO7)

You will have technical and communication skills to design, evaluate, implement, analyse and theorise about developments that contribute to professional practice or scholarship, specifically you will have cognitive skills to:

• Demonstrate mastery of theoretical knowledge and to reflect critically on theory and professional practice or scholarship;
• Plan and execute a substantial research-based project, capstone experience and/or piece of scholarship.