Master of Artificial Intelligence

Admissions information

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• Course description arrow_forward_ios

  This course is tailored for IT and computing graduates and related disciplines eager to specialise in AI, addressing the skills gap in industries like finance, healthcare, and agriculture. Choose this course to stay ahead in the AI revolution, gaining both foundational and advanced insights into data analytics, machine learning, and AI applications.

  Distinctively, the program offers specialisation in high-demand fields such as Computer Vision and Natural Language Processing to solve real-world problems. You'll acquire the ability to design, implement, and manage AI systems responsibly and effectively.

  You will learn through hands-on projects, collaborating with peers and experts to apply AI technologies in real-world scenarios. This approach ensures you develop both the technical proficiency and the practical experience necessary for a successful career in AI.

  The postgraduate artificial intelligence program provides IT and computing professionals with the opportunity to upskill and meet the demands of this rapidly changing field. The course covers a broad range of current and emerging areas of AI including data analytics, neural networks, deep learning, reinforcement learning and ethics in AI. The course provides specialised subjects in areas including computer vision, and natural language processing to meet the growing industry demand for AI professionals with advanced technical capabilities and understanding of the risks and opportunities in this growing field.

  This course provides ideal preparation for graduates seeking careers in AI and its related domains. Students in the course engage in practical, hands-on learning, using technologies to develop algorithms in various AI approaches.

• Important dates arrow_forward_ios

  Find out more about application dates relating to this course

• Scholarships and prizes arrow_forward_ios

  Discover our scholarships for undergraduate, postgraduate and research students. Our scholarships celebrate diversity and academic excellence. Use the scholarship search tool to find the right scholarship for you.

  Scholarships for domestic students

  Scholarships for international students

• Course duration arrow_forward_ios

  The course duration is two years of full-time or four years of part-time study.

• Admission requirements arrow_forward_ios

  To be eligible for admission to this course, applicants must meet the following criteria.

  Applicants must have one of the following:

  • Completed Australian master’s or doctoral degree, or overseas equivalent, in Information Technology or Electrical and Electronic Engineering and Technology

  OR

  • Completed Australian bachelor's degree, graduate diploma, or graduate certificate, or overseas equivalent, in Information Technology or Electrical and Electronic Engineering and Technology with more than 75% of all subjects completed at pass level (conceded pass not included)

  OR

  • Completed Australian master’s or doctoral degree, or overseas equivalent, in any field of study AND A minimum of 2 years full-time, or equivalent part-time, Information Technology relevant post-secondary professional experience AND An interest in the course and demonstrated understanding of the opportunities present in Artificial Intelligence

  OR

  • Completed Australian bachelor's degree, graduate diploma, or graduate certificate, or overseas equivalent, in any field of study with more than 75% of all subjects completed at pass level (conceded pass not included) AND A minimum of 2 years full-time, or equivalent part-time, Information Technology relevant post-secondary professional experience AND An interest in the course and demonstrated understanding of the opportunities present in Artificial Intelligence

  Applicants who do not meet the criteria above should consider applying for C06147 Graduate Diploma in Artificial Intelligence, C11142 Graduate Certificate in Information Technology, or C11247 Graduate Certificate in Information Technology Studies.

  Supporting documentation to be submitted with the application

  For applicants who need to demonstrate work experience:

  • Curriculum Vitae AND Statement of service 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 work experience (for Australian Residents only)
    • An official letter from the applicant’s accountant or solicitor on their company letterhead confirming the applicant’s work experience or engagement with the business, duration of operations, and the nature of the business
    • A business certificate of registration in original language and English (e.g. provision of ASIC documentation or ABN or similar documentation for Australian Businesses)

  For applicants who need to demonstrate their interest in the course:

  • Personal statement outlining evidence of:
    • capacity for postgraduate tertiary study;
    • previous paid or unpaid work and/or life experiences that are relevant to the proposed course of study;
    • demonstrated knowledge and/or interest in the proposed course of study; demonstrated awareness of expectations of the proposed course of study and its appropriateness to the applicant's needs;
    • demonstrated commitment to study;
    • other relevant experiences or information to support the application (e.g. evidence of any impact of disadvantages or inequity, experiences)

  Eligibility for admission does not guarantee offer of a place.

• Domestic course fees arrow_forward_ios

  2025 Indicative tuition fees for domestic students

  As a postgraduate student, you'll be responsible for covering your own tuition fees.

  2025 Tuition Fee

  • Indicative first-year tuition fee:  $37,230.00
  • Indicative total tuition fee:  $76,135.35

  You can choose to pay your fees upfront per session, or if you’re eligible, you can defer them using a government FEE-HELP loan. This loan helps you cover all or part of your tuition fees. Keep in mind that applications for this loan are specific to each course.

  Additional Costs 

  Your tuition fees do not include:

  • The Student Services and Amenities Fee (SSAF), which supports student services and activities. If eligible, you can defer this fee using SA-HELP.
  • Textbooks, materials, and other course-related costs.
  • Any applicable payment processing fees (e.g., credit card surcharges).

  Important Information 

  • Fees are shown in Australian Dollars (AUD).
  • The indicative tuition fees above are based on full-time study (1 year = 48 credit points).
  • Your actual fees depend on the year you enrol, your study load and the subjects you choose. Some subjects fall into different student contribution bands.
  • You can calculate your student contribution based on the amounts listed in the student contribution table

  Alumni Advantage Program 

  As a UTS graduate, you can enjoy a 10% discount on your course fees. Just apply for the course you're interested in, and if you're accepted, the discount will automatically be applied to your enrolment invoice. Learn more about the Alumni Advantage Program. 

  If you have any questions about course fees, please feel free to make an enquiry.
 

• Inherent requirements arrow_forward_ios

  Inherent requirements are academic and non-academic requirements that are essential for successfully completing a course at UTS. You can find the inherent requirements for your course via the inherent requirements directory.

• Professional recognition arrow_forward_ios

  Graduates are eligible to apply for professional-level membership with the Australian Computer Society.

• Recognition of prior learning arrow_forward_ios

  Students may be eligible for up to a total of 24cp of subject exemptions based on Recognition of prior learning (RPL) as follows:

  • Students who have completed equivalent subjects in a postgraduate program or UTS undergraduate program if the subjects previously completed are deemed by the faculty to be equivalent to subjects in the course.
  • Subject exemption is applicable only to STM91715 Core stream (Artificial Intelligence).

  Other/additional RPL may be granted via subject substitution to an alternative/advanced postgraduate subject in a similar field of study.

  Students wishing to articulate from the Graduate Certificate in Information Technology (C11142) are advised to study the Data Analytics stream in the Graduate Certificate.

  To be considered for recognition of prior learning, subjects must normally have been completed no more than ten years prior to the commencement of this course.

• Articulation with UTS courses arrow_forward_ios

  This course is part of an articulated program comprising the Graduate Diploma of Artificial Intelligence (C06147) and the Master of Artificial Intelligence (C04443).