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University of Technology Sydney

Graduate Diploma in Artificial Intelligence

  • Delivery: Face to Face
  • Study Level: Postgraduate
  • Duration: 12 months
  • Course Type: Graduate Diploma

Develop specialised skills in artificial intelligence, machine learning, data analytics and visualisation through practical, technology-focused learning designed for graduates with relevant technical backgrounds.

Course overview

Expand your expertise in artificial intelligence with the Graduate Diploma in Artificial Intelligence at the University of Technology Sydney (UTS). Designed for graduates in information technology, engineering and mathematical sciences, as well as eligible IT professionals, this postgraduate qualification develops the technical knowledge and analytical capabilities needed to understand and apply artificial intelligence across a range of organisational and technological contexts.

Explore the foundations of artificial intelligence alongside software development, data analytics, machine learning and visualisation. Through applied learning activities, you'll examine approaches to developing algorithms, interpreting complex datasets and designing AI-based solutions. The course also introduces contemporary developments in intelligent technologies, supporting an understanding of how artificial intelligence can be used to address technical challenges and inform decision-making across different industries.

The 48-credit-point qualification combines five compulsory subjects with artificial intelligence options and a professional choice component, allowing students to extend their knowledge in selected areas of computing and technology. Delivered at UTS's City campus, the course can be completed in one year of full-time study or two years part time. Graduates may explore opportunities in AI development, machine learning and data analytics, or pursue further postgraduate study through the Master of Artificial Intelligence, subject to admission requirements.

Key facts

Delivery
Face to Face
Course Type
Graduate Diploma
Duration
More Information
Can be studied part time
12 months (Full time)
Price Per Unit
$5,088
More Information
The estimated per-unit fee is based on the indicative tuition fee per subject.
Campus
Ultimo
Intake
15th February, 2027
26th July, 2027
Units
More Information
You may be required to complete 0 credit point units throughout your course. The university will confirm this as part of your enrolment.

The unit total reflects the number of units required for course completion, not the total credit point weight. Some units may be double- or triple-weighted, so the number of units you complete may be lower.
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Fees
FEE-HELP

What you will study

The course totals 48 credit points of study, comprising a 30-credit-point stream of core subjects, 12 credit points of artificial intelligence options and a six-credit-point professional option. Each subject is valued at six credit points.

Core subjects

Complete all of the following subjects:

  • Advanced Data Analytics Algorithms
  • Data Visualisation and Visual Analytics
  • Fundamentals of Data Analytics
  • Fundamentals of Software Development
  • Introduction to Artificial Intelligence
Electives

Entry requirements

To be eligible for admission to the Graduate Diploma in Artificial Intelligence, applicants must meet at least one of the following requirements:

  • Completed Australian bachelor's degree or higher qualification, or overseas equivalent, in Information Technology, Electrical and Electronic Engineering and Technology or Mathematical Sciences.
  • Completed Australian associate degree or advanced diploma (AQF Level 6), or overseas equivalent, in Information Technology AND a minimum of two years of relevant full-time post-secondary professional work experience in Information Technology, or equivalent part-time experience.

Applicants who do not meet these requirements may consider the Graduate Certificate in Information Technology Studies (C11247), which provides a pathway towards postgraduate study in artificial intelligence at UTS, subject to the relevant admission requirements.

Supporting documentation to be submitted with the application

Applicants relying on professional work experience to demonstrate their eligibility must provide a curriculum vitae (CV) AND evidence of employment or professional experience in one of the following formats:

  • A Statement of Service provided by the employer.
  • A completed UTS Statement of Service signed by the employer.
  • A statutory declaration confirming relevant professional work experience (Australian residents only).
  • An official letter from the applicant's accountant or solicitor on company letterhead confirming their professional work experience or engagement with the business, duration of operations and nature of the business.
  • A business registration certificate in the original language and English, such as ASIC documentation, an ABN or equivalent documentation for Australian businesses.

English language requirements

The English proficiency requirements for international students or domestic applicants with international qualifications are:

  • IELTS Academic: Overall score of 6.5, with a minimum writing score of 6.0.
  • TOEFL iBT (0–120 scale): Overall score of 79, with a minimum writing score of 21.
  • TOEFL iBT (1–6 scale): Overall score of 4, with a minimum writing score of 4.5.
  • UTS College Academic English Level 5 (AE5): Pass.
  • Pearson PTE Academic: Overall score of 58, with a minimum writing score of 50.
  • Cambridge C1 Advanced or C2 Proficiency: Overall score of 176, with a minimum writing score of 169.

Eligibility for admission does not guarantee an offer of a place.

Recognition of prior learning

Students may be eligible for recognition of prior learning of up to 24 credit points, subject to faculty approval and the equivalence of previously completed subjects.

Eligibility for subject exemptions

Recognition of prior learning may be granted where:

  • Students have completed equivalent subjects within a postgraduate program or UTS undergraduate program.
  • Previously completed subjects are assessed by the faculty as equivalent to subjects within the Graduate Diploma in Artificial Intelligence.
  • Subject exemptions apply to the core stream (Artificial Intelligence).

Additional recognition of prior learning may be considered through subject substitution, allowing an alternative or advanced postgraduate subject in a related field of study to replace an existing requirement.

Time limits

To be considered for recognition of prior learning, previous subjects must normally have been completed no more than ten years before commencing the course.

Articulation and further study

Students intending to progress from the Graduate Certificate in Information Technology are advised to complete the Data Analytics stream.

The Graduate Diploma in Artificial Intelligence also forms part of an articulated program with the Master of Artificial Intelligence.

Recognition of prior learning is subject to individual assessment and is not guaranteed.

Outcomes

Learning Outcomes

Upon completion of this course, graduates will be able to:

  • Graduates will use their knowledge of Indigenous Australian contexts to apply professional capabilities across the design and implementation of AI solutions in the industry when working with and for Indigenous peoples and communities.
  • Graduates are able to identify a broad range of organisational stakeholders on Artificial Intelligence issues, and to identify ethical, personal, organisational, policy, social and environmental impacts of Artificial Intelligence in diverse contexts.
  • Graduates are lifelong learners able to demonstrate autonomy and apply expert judgment in the design and evaluation of innovative Artificial Intelligence solutions to organisational, societal and global problems.
  • Graduates are able to demonstrate and apply specialised knowledge in Artificial Intelligence and related fields of information technology, including technical skills in designing and implementing AI solutions incorporating current and emerging technologies.
  • Graduates are able to communicate professionally in a variety of ways to specialist and non-specialist audiences and collaborate across functional, hierarchical and professional boundaries, within and across organisations, in local and global contexts.
  • Graduates are able to work and thrive in the world of constant technological change by being self-reflective, curious, action-oriented, thoughtful and life-long learning professionals, dedicated to seeking feedback, applying well developed judgement, pursuing self-development and making a positive difference in organisations and the wider society.

Career Outcomes

Career options include: 

  • Junior Analyst - Machine Learning
  • Software Engineer - Machine Learning
  • Junior AI Specialist
  • Junior Data Analyst
  • Junior Machine Learning Engineer

Fees and FEE-HELP

Domestic full-fee paying prices

  • Indicative tuition fee per 6-credit-point subject in 2027: $5,088
  • Indicative annual tuition fee (48 credit points) in 2027: $40,660
  • Indicative total course fee in 2027: $40,660

Eligible domestic students may access FEE-HELP to defer all or part of their tuition fees.

The Student Services and Amenities Fee (SSAF) may apply and is not included in the indicative tuition fees.

Tuition fees are subject to annual review and may change.

You may also need to pay the student services and amenities fee.

Student fees shown are subject to change. Contact the university directly to confirm.

FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.