Course Overview

About This Course

The Master of Information Technology (Artificial Intelligence) complements your current degree helping you broaden your skill set in the field of artificial intelligence. The course focuses on artificial intelligence and its effects in the modern world. You will explore the impacts of artificial intelligence in course and project work. Your studies will combine theory with practical activities giving you the opportunity to network with industry leaders.

Where You Can Study

Available Locations

CDU SydneyDanala - Education and Community Precinct (Darwin, Northern Territory)CASUARINADarwin CitySydney

Eligibility

Entry Requirements

General Requirements

Successful completion of a recognised bachelor degree or equivalent international qualification.
English language requirements must be satisfied (domestic and international students).
Domestic students: Year 12 completion in Australia or approved English-speaking country; OR at least 0.5 FTE higher education study from Australia or approved country; OR completion of a CDU enabling program of at least 0.5 FTE (40 credit points); OR a recognised TAFE qualification at Certificate III level or higher; OR current AHPRA registration as a Division 1 or Division 2 nurse; OR an approved English test with minimum scores (IELTS overall 6.5, no band below 6.0; CAE overall 176, no skill below 169; PTE overall 58, no score below 50; TOEFL iBT overall 79, minimum writing 21).
International students: Successful completion of EAP004 (CDU English for Academic Purposes 4); OR IELTS Academic minimum overall 6.5 with no band below 6.0; OR CAE minimum overall 176, no skill below 169; OR Common European Framework Certificate of English Proficiency minimum grade C1; OR PTE Academic minimum overall 58 with no score below 50; OR TOEFL iBT minimum overall 79 with minimum writing score of 21.
International entry pathway: Applicants who have completed CDU English for Academic Purposes 4 (ZEAP40) or the Accelerated International Masters Qualifying Program (ZAMQP2, ZAMQP1) are eligible for entry.

Career & Study Pathways

Where this takes you

Career Opportunities

Graduating from this course may lead to a career as an artificial intelligence specialist or a software engineer. Your skillset and knowledge make you a competitive candidate in areas such as consultancy, startups, government departments, private companies, non-government organisations (NGO) and community groups.

Quality & Recognition

Accreditation & Migration

Academic Regulator

TEQSA

Professional Body

Australian Computer Society (ACS)

Accreditation Status

Accredited

Skills Assessor

ACS

Course Content

Units of Competency

All Units15 units

Software Now

Foundations of Data Science

Database Concepts

PRT510

Professional Issues in Technology

PRT532

IT Service Management

PRT551

Project Management, Risk and Reliability

PRT565

Machine Learning, Artificial Intelligence and Algorithms

PRT575

Principles of Operating Systems, Networks and Cyber Security

PRT581

Principles of Software Systems

PRT596

Human Centred Artificial Intelligence

PRT597

Natural Language Processing

PRT598

Deep Learning: Architecture and Applications

PRT691

Artificial Intelligence Practice

20 credit points

PRT604

Professional Experience

20 credit points — elective option

PRT840

IT Thesis

20 credit points — elective option

Common Questions

Frequently Asked Questions

Is this course accredited by a professional body?

Yes. The Master of Information Technology (Artificial Intelligence) is designed to meet the accreditation requirements of the Australian Computer Society (ACS) at the level of ICT Professional.

How many credit points do I need to complete this course, and what does the structure look like?

You must successfully complete units totalling 160 credit points. The course consists of 14 core units including compulsory units in areas such as machine learning, deep learning, natural language processing, and human centred AI, plus either a Professional Experience unit (PRT604, 20cp) or an IT Thesis unit (PRT840, 20cp) as your specialist elective.

Can I study this course online?

Yes, online study is available for domestic students. International students can study on campus at CDU Sydney or at the Danala - Education and Community Precinct in Darwin. Online intake is available for Semester 1, Semester 2, and Summer Semester.

What are the annual international tuition fees for this course?

The annual tuition fee for full-time study in 2026 is AUD $36,440.00, which equates to $4,555.00 per 10 credit point unit (0.125 EFTSL). These fees are subject to annual increases effective at the start of each calendar year.

Can I defer my offer for this course?

Yes, offers for the Master of Information Technology (Artificial Intelligence) can be deferred.

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

Salary, careers & skills

Typical Salary

Entry-level (0-2 years)AUD $80,000 to $105,000 per year

Early Career (2-5 years)AUD $105,000 to $140,000 per year

Mid-Level (5-10 years)AUD $140,000 to $180,000 per year

Career Paths

Machine Learning EngineerData ScientistAI EngineerDeep Learning EngineerNatural Language Processing (NLP) Engineer

Key Skills

Machine learning model design, training, and evaluationDeep learning and neural network architecture (CNNs, RNNs, Transformers)Natural language processing (NLP) and large language model (LLM) integrationData wrangling, cleaning, and feature engineering using Python, R, and SQLStatistical modelling and probabilistic reasoning

Full Course Overview

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