Master of Artificial Intelligence - Melbourne (Bundoora)

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Overview

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 … For more content click the Read more button below. 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 AIDiscover to use research skills and deep learning algorithms to develop AI-based solutions to real-world problems.Improving human and computer communicationDevelop natural language processing (NLP) processing pipelines using code libraries to boost communication output.Design, research and investigationLearn how to address design issues using machine learning models, algorithms and computer vision tasks.Deep learning techniques and AIExplore deep learning techniques and how they can aid AI functions such as image recognition, machine translation and speech synthesis.Social and ethical impact of AIGain an understanding of the moral and societal issues faced by today's IT industry and the impact of how AI technology is used.

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.

Portfolio

Science, Health & Engineering (Pre 2022)

School

Course coordinator

Henry Duh

Location(s)

Melbourne (Bundoora)

CRICOS code

0100864

Course instance contact

Henry Duh

Course duration (full time)

2 years

Study level

Postgraduate

AQF level

Level 9 - Masters Degree

Available only as an exit award

Study options

Domestic

International onshore

Completion requirements

To qualify for the award of Master of Artificial Intelligence, students must complete 240 credit pointsconsisting of: 135 core credit-points 60 specialisation credit points 30 learning pathway credit points 15 elective credit points

Course structure
240 credit points

Level one120 credit points

Upon completion of Level one subjects CSE4IFU, CSE4DBF, STM4PSD and CSE4IP, students have the option to exit with a Graduate Certificate in Information Technology Fundamentals (SCITF). Upon completion of all Level one subjects, students have the option to exit with a Graduate Diploma in Artificial Intelligence (SGAI).

Core90 credit points

Core choice - Specialisation15 credit points

Electives15 credit points

Level two120 credit points

Core45 credit points

Core choice30 credit points

Students to select one learning pathway from the list below.

Project 30 credit points

Industry based learning 30 credit points

Thesis30 credit points

Core choice - Specialisation45 credit points

Specialisations60 credit points

Students to select a specialisation from the list below. Students will complete subjects to the value of 15 credit points in Level one and 45 credit points in Level two.

Intelligent systems and robotics60 credit points

Core choice60 credit points

Students to select subjects to the value of 60 credit points from the list below. Students will complete subjects to the value of 15 credit points in Level one and 45 credit points in Level two.

Interactive media and computer vision60 credit points

Core choice60 credit points

Students to select subjects to the value of 60 credit points from the list below. Students will complete subjects to the value of 15 credit points in Level one and 45 credit points in Level two.

Natural language processing60 credit points

Core choice60 credit points

Students to select subjects to the value of 60 credit points from the list below. Students will complete subjects to the value of 15 credit points in Level one and 45 credit points in Level two.

Course intended learning outcomes

On successful completion you will be able to:

Apply advanced understanding of fundamental issues and techniques in information technology to a specialised area in artificial intelligence.

Critically evaluate and design solutions to technical problems in artificial intelligence.

Synthesise and test theories in IT using research and technical skills.

Apply professional communication skills to articulate complex
artificial intelligence issues to diverse audiences.

Integrate IT principles and research to develop and justify artificial intelligence solutions to complex problems in a specialist area.

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.

Other opportunities

Career outcomes

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.

Handbook