Associate Degree Artificial Intelligence Full Time

Associate Degree of Applied Artificial Intelligence

at Swinburne University of Technology · Melbourne, Victoria

CRICOS course code

119239M

CRICOS provider code

00111D

This course is registered on the Commonwealth Register of Institutions and Courses for Overseas Students. Verify it yourself at cricos.education.gov.au before paying any fee.

Duration

2 years

Tuition (whole course)

A$79,400 total

Per year

A$39,700/yr

Intake

Semester 1 (Feb/Mar), Semester 2 (Jul)

About this program

The Associate Degree of Applied Artificial Intelligence at Swinburne University of Technology is a two-year undergraduate qualification designed for students eager to enter the evolving world of AI. The curriculum offers a balance of theoretical foundations and practical skills, covering topics such as machine learning, data analysis, programming, and ethical considerations in artificial intelligence. Throughout the course, you will engage in hands-on learning experiences and work on real-world projects, gaining the technical and problem-solving skills required in this dynamic field.

Australian associate degrees commonly comprise two years of full-time study, divided into semesters. At Swinburne, students complete a defined set of units of study, earning credit points that count towards the qualification. This degree is structured to support learners with foundational knowledge as well as up-to-date technical expertise, ensuring you are workplace-ready upon graduation. The programme often incorporates industry-relevant learning, including potential work-integrated learning or placements, fostering connections with Australian technology and research sectors.

You will develop strong programming, algorithmic, and mathematical skills, as well as learn how to implement AI solutions in practical settings. Emphasis is placed on collaboration and communication, preparing you for multidisciplinary workplaces. The Associate Degree pathway is ideal if you are seeking early entry into the technology industry or wish to progress to further study in AI or computer science.

This course particularly suits those interested in developing a career in artificial intelligence or information technology, and those seeking a qualification that balances depth and breadth in a growing Australian industry. International students benefit from Melbourne's position as a leading tech hub and by being eligible for work rights of up to 48 hours per fortnight during study, as well as the post-study work stream of the Temporary Graduate visa (subclass 485), subject to visa conditions. For the latest details, always refer to the official Swinburne and CRICOS pages.

Entry requirements

English: International applicants must evidence English proficiency. IELTS Academic 6.0–6.5 overall is the common undergraduate and coursework-postgraduate standard, rising to 7.0–7.5 for teaching, nursing, medicine, law and social work. TOEFL iBT, PTE Academic, Cambridge C1 Advanced and the university’s own English programmes are accepted as equivalents; the Department of Home Affairs sets a separate English threshold for the Student visa itself.

International students: Registered on CRICOS for international students. A Confirmation of Enrolment (CoE) for this course supports a Student visa (subclass 500) application; Overseas Student Health Cover is required for the full duration.

Career outcomes

AI Applications Developer in technology and innovation sectors
Data Analyst for business, finance, and science organisations
Junior Machine Learning Engineer for start-ups and established IT firms
Software Developer with AI specialisation in diverse industries
Technical Support Analyst in digital and automation environments

Frequently asked questions

How long is the Associate Degree of Applied Artificial Intelligence at Swinburne University of Technology?

It typically takes 2 years, with intakes in Semester 1 (Feb/Mar), Semester 2 (Jul).

How much is the tuition?

Tuition is around A$79,400 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

AI Applications Developer in technology and innovation sectorsData Analyst for business, finance, and science organisationsJunior Machine Learning Engineer for start-ups and established IT firmsSoftware Developer with AI specialisation in diverse industriesTechnical Support Analy...

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