Overview

Harness key AI technologies driving change and sparking innovation in a range of industries with La Trobe's Master of Artificial Intelligence. Explore subjects in IT fundamentals, machine learning, data mining, computer vision, cybersecurity and natural language processing (NLP). Complement your AI expertise with transferable skills in entrepreneurship, professional practice and … For more content click the Read more button below. By studying La Trobe's Master of Artificial Intelligence, you will:explore deep-learning techniques and how they can aid AI functions such as image recognition, machine translation and speech synthesislearn how to use research skills and deep-learning algorithms to develop AI-based solutions to real-world problemsgain an understanding of the moral and societal issues faced by today's IT industry and the impact of how AI technology is usedchoose an industry development project or work-based placement to cement your learning and launch your career, or pursue an applied research project or industry-based thesisbenefit from the first-hand knowledge and experience of your teachers, including world-renowned AI researchershave the flexibility to exit early with a Graduate Diploma after one year or a Graduate Certificate after six months or, depending on your previous computer science or IT qualifications, complete your Master's in only 1.5 years.

Portfolio

Office of the Provost

Course coordinator

Huawei Tu

Location(s)

Melbourne (Bundoora)

CRICOS code

0100864

Course instance contact

Huawei Tu

Course duration (full time)

2 years

Course duration (part time)

4 years

Course duration (accelerated)

N/A

Study level

Postgraduate

AQF level

Level 9 - Masters Degree

Available only as an exit award

No

Study options

Domestic

International onshore

Completion requirements

To qualify for the award of Master of Artificial Intelligence, students must complete 240 credit points consisting of:

180 core credit points

60 specialisation-stream credit points

 

Course structure
240 credit points

Level two120 credit points
Specialisation - Streams60 credit points

Course intended learning outcomes

On successful completion you will be able to:
1.
Apply advanced understanding of fundamental issues and techniques in information technology to a specialised area in artificial intelligence.
2.
Critically evaluate and design solutions to technical problems in artificial intelligence.
3.
Synthesise and test theories in IT using research and technical skills.
4.
Apply professional communication skills to articulate complex artificial intelligence issues to diverse audiences.
5.
Integrate IT principles and research to develop and justify artificial intelligence solutions to complex problems in a specialist area.
6.
Apply awareness of contemporary social and ethical issues to professional decision-making in artificial intelligence and computer science

Course features

Work based learning (placement) requirements

Elective placement opportunities (Work Based Learning)
During this course, you will have the opportunity to participate in a Work Based Learning (WBL) placement experience, designed to allow you to extend your formal academic learning beyond the classroom. The WBL experience will provide the opportunity to bring your learning from the university into a work environment and test out your knowledge in a professional real-world environment. Some courses include compulsory WBL subjects, however, we also offer a range of elective WBL subjects, both cross-discipline and subject-specific. La Trobe University will source placements for some subjects, while others will require you to source your own placement. If you are required to source your own placement, dedicated staff will guide and support you through the process. Elective WBL subjects generally involve an application process and Subject Coordinator approval. The location and number of hours undertaken can vary considerably depending on the activity and the discipline area. Please refer to the individual subject entries for more information.

Work integrated learning opportunities

Industry informed curriculum, Industry-informed projects, Career development learning

Career outcomes

Digital disruption is producing strong demand for artificial intelligence professionals in the public and private sectors, including opportunities in digital healthcare, smart manufacturing, smart cities, sustainable energy infrastructure, precision agriculture and more. Possible roles include:

  • AI consultant, developer or solutions architect
  • machine learning engineer or specialist
  • software engineer
  • data engineer or scientist
  • research analyst.

Other course instances

Select a related course instance to view more information.

Internal course relationships

Nested

Graduate Certificate in Information Technology Fundamentals

Graduate Diploma in Artificial intelligence

Pathways from

Graduate Certificate in Information Technology Fundamentals

Graduate Diploma in Artificial intelligence

Postgraduate Qualifying Program

Replaces

Master of Artificial Intelligence