Master of Artificial Intelligence, Courses and degrees, data, 2025, domestic, ON, La Trobe University

Entry requirements and pathways

Academic entry requirement

Prerequisites

Successful completion of an Australian bachelor degree (or equivalent).

Note: Meeting minimum prerequisites does not guarantee an offer of a place. Entry into all La Trobe courses is based on competitive selection and there may be limited places available.

Special Entry Access Schemes (SEAS)

For information on adjustment factors that may be applicable, such as those through Special Entry and Access Schemes (SEAS) and other La Trobe special access schemes see: Special Entry Access Schemes (SEAS)

Credit for previous study (advanced standing)

Credit for previous study (advanced standing) is the recognition of prior study or learning that can be counted towards a qualification. This can reduce the number of subjects required to complete your course. The amount of credit received depends on the level and relevance of your previous study and the number of subjects completed.

The University will designate courses where there is only admission into Year 1 of the course. In these cases, there is limited credit. See list of limited entry courses.

To check if this course is available for credit, please visit the Advanced standing webpage.

Defer

Find out if you can defer

Pathways

There are currently no alternative Pathway courses for this course.

Use the Pathways Tool to discover other courses with pathway options available.

Questions about the course?

Check when course applications close and find out how to apply directly.

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What you'll study

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 Specialisation
15 credit points from chosen Electives

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.

Core choice subjects are one or more subject groups you need to select in your course. Core choice subjects may be specific to your course, major, minor, specialisation or other learning requirements.

Students to select one learning pathway from the list below.

Pathway

Project
Industry based learning
Thesis

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

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

Course specialisations	Specialisation code
Natural language processing	SPE-NLP01

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

Work-Based Learning

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.

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.

View course information for Online