Updating Results

La Trobe University

  • 24% international / 76% domestic

Master of Artificial Intelligence

  • Masters (Coursework)

Artificial intelligence (AI) is one of the most powerful forces behind digital disruption and AI skills are highly sought-after in a huge range of industries.

Key details

Degree Type
Masters (Coursework)
Duration
2 years full-time
Course Code
0100864
Study Mode
Online, In person
Intake Months
Feb, Jul, Nov
Domestic Fees
$30,600 per year / $61,200 total
International Fees
$37,800 per year / $75,600 total

About this course

Artificial intelligence (AI) is one of the most powerful forces behind digital disruption and AI skills are highly sought-after in a huge range of industries.

Kickstart your career in this exciting field with La Trobe's Master of Artificial Intelligence.

In this degree, you'll learn to harness key AI technologies and applications that are sparking innovation in a range of industries. You'll graduate with the technical capabilities to drive change and improve business outcomes across digital healthcare, smart manufacturing, smart cities, sustainable energy infrastructure, precision agriculture and more.

Choose a specialisation in a key technical area of AI - interactive media and computer vision, intelligent systems and robotics, or natural language processing. You'll benefit from the first-hand knowledge and experience of your teachers, many of whom are world-renowned researchers.

Let your curiosity lead you. You'll study exciting subjects in machine learning, artificial intelligence in bioinformatics, image processing and virtual reality. You'll graduate with both a well-rounded foundation in AI and complementary cross-disciplinary skills - an attractive combination for potential employers.

Hands-on experience is a key part of this degree. Use your AI skills to solve real-world problems when you take on an industry-based project. Previous students have worked with Microsoft, Optus, 4pi Lab, Aerion, Quantum Victoria, Nanjing University of Information Science and Technology, Pivot Maritime International and Axicor.

Two early exit points mean that every stage of your degree equips you for your future career. Exit after six months with a Graduate Certificate in Information Technology Fundamentals or exit after one year with a Graduate Diploma in Artificial Intelligence.

You'll learn:

  • Problem solving with AI
    • Discover to use research skills and deep learning algorithms to develop AI-based solutions to real-world problems.
  • Improving human and computer communication
    • Develop natural language processing (NLP) processing pipelines using code libraries to boost communication output.
  • Design, research and investigation
    • Learn how to address design issues using machine learning models, algorithms and computer vision tasks.
  • Deep learning techniques and AI
    • Explore deep learning techniques and how they can aid AI functions such as image recognition, machine translation and speech synthesis.
  • Social and ethical impact of AI
    • Gain an understanding of the moral and societal issues faced by today's IT industry and the impact of how AI technology is used.

The qualification awarded on graduation is recognised in the Australian Qualifications Framework (AQF) as Level 9 - Masters Degree.

Sample course structure

Please note, the following course structure is indicative and subject to change depending on your course location, offer year or how you tailor your course with specialisations, majors, minors and electives. Structures for the following year are not normally finalised until October, so the sample provided is based on the most recently approved structure. For more information, please refer to the La Trobe University Handbook.

To qualify for the award of Master of Artificial Intelligence, students must complete a total of 240 credit points across 2 years.

Year 1 requires the completion of 120 credit points including:

  • 90 credit points from chosen Core
  • 15 credit points from chosen Core choice - Specialisation
  • 15 credit points from chosen Electives

Year 2 requires the completion of 120 credit points including:

  • 45 credit points from chosen Core
  • 90 credit points from chosen Core choice- Pathway
  • 45 credit points from chosen Core choice - Specialisation
Study options

 

Core subjects are required subjects in your course. You need to complete these subjects to attain your degree.

Subject name Subject code Year Credit points ACADEMIC INTEGRITY MODULE LTU0AIM 1 0 ARTIFICIAL INTELLIGENCE FUNDAMENTALS CSE4002 1 15 DATABASE FUNDAMENTALS CSE4DBF 1 15 INFORMATION TECHNOLOGY FUNDAMENTALS CSE4IFU 1 15 INTRODUCTION TO PROGRAMMING CSE4IP 1 15 MACHINE LEARNING CSE5ML 1 15 PROBABILITY AND STATISTICS FOR DATA SCIENCE STM4PSD 1 15 DEEP LEARNING CSE5DL 2 15 PROFESSIONAL PRACTICES AND ENTREPRENEURSHIP IN INFORMATION TECHNOLOGY CSE5003 2 15 PROJECT MANAGEMENT CSE5PM 2 15

 

A range of standalone elective subjects is available in this course. Some electives are recommended for your course, but you may also be able to choose from a range of University-wide electives or electives from other interest areas or disciplines. Note these electives may have their own prerequisites and other requirements. Please refer to the La Trobe University Handbook for the subjects available.

 

A specialisation is a sequence of related subjects studied in your course. In some courses, you need to complete at least one specialisation to attain your degree.

Students to select one specialisation

Specialisations

  • Intelligent systems and robotics
  • Interactive media and computer vision
  • Natural language processing

For more information on these please refer to the La Trobe University Handbook.

See La Trobe University Handbook for more details

The Handbook contains detailed course information designed for enrolled students, including course structures, electives and options. The delivery of this course can vary between campuses.

  • Melbourne (Bundoora)

To view other campus handbook course details, please select relevant campus in the drop down.

Study locations

Melbourne

Online

Career pathways

 

Digital disruption is producing strong demand for AI professionals in healthcare, manufacturing, agriculture, automotive and more. Graduates can pursue a range of career opportunities, including:

  • Artificial intelligence architect
    • Identify how AI technology can be applied successfully in business settings.
  • Software engineer
    • Use engineering principles and computer language to design, develop and maintain software systems.
  • Data scientist
    • Work with computer hardware systems and networks to optimise performance.

 

Graduate outcomes

Graduate satisfaction and employment outcomes for Computing & Information Systems courses at La Trobe University.
78.2%
Overall satisfaction
78.2%
Skill scale
74.7%
Teaching scale