Master of Artificial Intelligence

La Trobe University

CRICOS Institution Code 00115M

Duration

104 weeks

Delivery

Multi-Modal, Online

Study Load

Full-time or part-time

Intakes

Semester 1 (March 2027), Semester 2 (July 2027), Summer (November 2027), LTU Term 2 (March 2027), LTU Term 3 (May 2027), LTU Term 4 (July 2027), LTU Term 5 (September 2027)

Course Overview

About This Course

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 project management.

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 synthesis
learn how to use research skills and deep-learning algorithms to develop AI-based solutions to real-world problems
gain an understanding of the moral and societal issues faced by today's IT industry and the impact of how AI technology is used
choose 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 thesis
benefit from the first-hand knowledge and experience of your teachers, including world-renowned AI researchers
have 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.

Where You Can Study

Available Locations

Melbourne

Plenty Rd, Bundoora, Melbourne, Victoria 3086

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Student Information

Fees & Entry by Student Type

Provider's Published Fee

A$71,600

Duration

104 weeks

Intakes

Semester 1 (March 2027), Semester 2 (July 2027), Summer (November 2027), LTU Term 2 (March 2027), LTU Term 3 (May 2027), LTU Term 4 (July 2027), LTU Term 5 (September 2027)

Study Mode

Full-time or part-time

Eligibility

Entry Requirements

General Requirements

All applicants:

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

240 credit point pathway (2 years):

Completion of the Postgraduate Qualifying Program (Information Technology stream)

180 credit point pathway – Cognate Entry

Successful completion of an Australian bachelor degree (or equivalent) in computer science, information technology, or information systems.

Applicants will be able to complete the course within 1.5 years if they have successfully undertaken cybersecurity subjects.

Any cases requiring academic judgement will be referred to the School for assessment.

International students:

English language requirements

6.5 IELTS (Academic) with no individual band less than 6.0.

Career & Study Pathways

Where this takes you

Career Opportunities

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.

Quality & Recognition

Accreditation & Migration

Academic Regulator

TEQSA

Accreditation Status

Accredited

Course Content

Units of Competency

All Units13 units

LTU0AIM

Academic Integrity Module

CSE4002

Artificial Intelligence Fundamentals

CSE4004

Cyber Security Principles

CSE5DMI

Data Mining

CSE4DBF

Database Fundamentals

CSE5DL

Deep Learning

CSE4IFU

Information Technology Fundamentals

CSE4IP

Introduction to Programming

CSE5ML

Machine Learning

CSE5CV

Computer Vision

CSE5NLP

Natural Language Processing

CSE5003

Professional Practices and Entrepreneurship in Information Technology

CSE5PM

Project Management

Common Questions

Frequently Asked Questions

What is the Master of Artificial Intelligence at La Trobe University?

The Master of Artificial Intelligence is a postgraduate degree offered by La Trobe University, however the detailed course overview, entry requirements, and curriculum information were not available in the provided page content.

Where is La Trobe University located?

La Trobe University is an Australian university registered with TEQSA (PRV12132) and holds CRICOS Provider number 00115M, with multiple campus locations across Australia.

Does La Trobe University offer scholarships for the Master of Artificial Intelligence?

La Trobe University does offer scholarships, including international scholarships, as indicated on their website, though specific scholarship details for the Master of Artificial Intelligence were not available in the provided page content.

Application

How to Apply

Three simple steps to get enrolled

Step 01

Enquire

Click "Enquire Now" and tell us a little about yourself. It's free and takes 2 minutes.

Step 02

Submit Documents

Our team will guide you on exactly which documents to prepare and submit.

Step 03

Get Enrolled

Receive your offer letter and confirm your enrolment. Welcome to the course!

Processing time: Offer letter issued within approximately 1 business days.

Course Snapshot

Typical Salary (AUD)

Entry-level (0-2 years)$80,000 – $105,000/yr

Early Career (2-5 years)$105,000 – $140,000/yr

Mid-Level (5-10 years)$140,000 – $180,000/yr

Career Paths

Machine Learning Engineer
Data Scientist
AI Engineer
Deep Learning Engineer
Natural Language Processing (NLP) Engineer

Key Skills

Machine learning model design, training, and evaluation
Deep learning and neural network architecture (CNNs, RNNs, Transformers)
Natural language processing (NLP) and large language model (LLM) integration
Data wrangling, cleaning, and feature engineering using Python, R, and SQL
Statistical modelling and probabilistic reasoning

Full course overview

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