Why study the Graduate Certificate in Artificial Intelligence Management with
UTS Online

#1 in Australia for Computing Science & Engineering1

Ranked top 10 in Australia for graduate employability2

Top 100 University Globally3

Australia’s largest Artificial Intelligence research facility4


1Academic World Ranking of World Universities, 2020  2QS World University Rankings, 2020  3QS Top 50 Under 50, 2020  4Australian Artificial Intelligence Institute

Learning Outcomes

Upon successful completion of the Graduate Certificate in Artificial Intelligence Management, you will develop skills through the following learning outcomes:

  • Data visualisation and analytics skills  
    Use data visualisation methods to represent and navigate large information spaces, and critique and evaluate different approaches. Apply multi-dimensional visualisation techniques to the process of visual data analytics.
  • Regulation and ethics in data practices 
    Gain an understanding of the regulation and ethics of data principles in the digital environment, and apply your knowledge to understand the impact on organisations, individuals and society. 

  • Machine learning methods 
    Learn how to apply state-of-the-art algorithms to your professional practice. Design an approach to machine learning problems in specialised domains and critically assess the impact of machine learning.  

  • Artificial intelligence (AI) solutions 
    Compare and contrast technologies used to achieve AI solutions and apply data visualisation techniques to an enterprise data set.

Who should study this course?

The Graduate Certificate in Artificial Intelligence is suitable for tech-driven individuals who want to develop their knowledge in artificial intelligence, data and process management. 

Students of this course have technical knowledge from various industries, and might work in roles such as: 

  • Systems Analyst 
  • Data Scientist 
  • Computer Systems Architect 
  • Analytics Manager 
  • IT Manager 
  • IT Project Manager 
  • General Manager, IT 
  • User Interface (UI) Engineer 
  • Solutions Lead 
  • Website/App Developer 

See entry requirements under course information for more eligibility information.

Download a course guide

 

What you will study

The UTS Online Graduate Certificate in Artificial Intelligence comprises four subjects (24 credit points) and can be completed in just eight months. 

You will study the following subjects: 

  • Data Visualisation and Visual Analytics (6CP)
  • Data Ethics and Regulation (6CP)
  • Machine Learning (6CP)
  • Artificial Intelligence for Enterprises (6CP)

 

A pathway to a Master of Technology Management

Upon successful completion of this course, you will have the opportunity to enrol into the Master of Technology Management.

 
  • Graduate
    Certificate
  • Masters

Upcoming study periods

UTS Online courses have six intakes per year. The diagram below shows all upcoming
intakes, with the next intake highlighted in blue.

Course information

To gain entry into the Graduate Certificate in Artificial Intelligence Management, applicants must have the following academic qualification and professional experience.

Pathway 1

Completed Bachelor's degree (or overseas equivalent) in Computer Science, Information Technology, Information Systems, Business Data Analytics, Software Engineering or others comparable to Field of Education (FoE) 02 Information Technology; or one of the following in a relevant field: 

  • Completed Master's degree; or 
  • Completed Graduate Diploma; or​ 
  • Completed Graduate Certificate; or
  • Completed Doctorate or Masters (Research or Coursework); or 
  • Incomplete coursework Doctorate; or 
  • Incomplete coursework Masters (1 year and above). 

Additional Requirements

In addition to the outlined qualifications, applicants must have at least one year full-time (or equivalent) experience in a related role to the Graduate Certificate or Graduate Diploma (or alternative experience through their contributions to organisations and/or communities and/or start-ups and/or entrepreneurship may be considered). For those applicants interested in the masters who do not meet the additional requirements for admission, this is an alternative entry point. 

This will be supported by submission of: 

  • A CV, electronic portfolio or professional profile outlining work experience, the dates of employment and position(s) held within the organisation. 

Assessment of other criteria: 

  • Demonstrates experience in a technology or enterprise role related to artificial intelligence demonstrating work integrated learning and contextualisation of academic qualifications. 

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


Pathway 2

Applicants who do not meet the academic qualification requirements for admission, but have professional practice (three-year minimum) and a general capacity to undertake tertiary education may be considered. 

This will be supported by submission of: 

  • A CV, electronic portfolio or professional profile outlining work experience, the dates of employment and position(s) held within the organisation. 

Assessment of other criteria: 

  • Demonstrates experience in a technology or enterprise role related to artificial intelligence, demonstrating skills of assumed prior knowledge required for the relevant course. 

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

Note: Applicants who do not meet the entry requirements for the Graduate Certificate in Artificial Intelligence Management may use the successful completion of the Graduate Certificate in Technology Management as a pathway, provided they meet the specific entry requirements. 

Enquire now

 

FEE HELP

To assist with all or some of your tuition fees, FEE-HELP is available for eligible students. This government-supported loan scheme is designed to help eligible full-fee paying students pay their tuition fees.

To check your eligibility, feel free to speak with an Enrolment Advisor today.

Schedule a call

 

FEE-HELP

To assist with all or some of your tuition fees, FEE-HELP is available for eligible students. This government-supported loan scheme is designed to help eligible full-fee paying students pay their tuition fees.

To check your eligibility, feel free to speak with an Enrolment Advisor today.

Schedule a call

 

Unsure about your situation?

One of our Student Enrolment Advisors can assist you with more information, including alternative pathways.

Enquire now

Graduate Diploma
All units from the Graduate Certificate + 4 Diploma units or continue studying

The Graduate Diploma focuses on giving you the foundational skills that industry demands plus the soft skills to influence business decisions at senior management levels. 

The fast-tracked model means you can graduate with a diploma in just over a year, plus it gives you a pathway to study the Master of Business Analytics. 

English Language Requirement

All applicants are required to meet the University’s English language requirements: 

Academic IELTS: 6.5 overall with a writing score of 6.0; or TOEFL: paper based: 550-583 overall with TWE of 4.5, Internet based: 79-93 overall with a writing score of 21; or AE5: Pass; or PTE: 58-64; or CAE: 176-184. 

Enquire now

 

Master of Health Services Management
All subjects from the Graduate Certificate + 8 subjects from the Master of Health Services Management

The UTS Master of Health Services Management prepares leaders in health and social care who want to drive change and create safer, higher value and more equitable health systems and services. 

 

Career Outcomes

Students of this course may have minimal IT experience moving into tech organisations. This course could lead to roles such as: 

  • AI Specialist 
  • IT/Digital Project Manager 
  • Head of Digital 
  • Technical Product Manager 
Master of Technology Management
All subjects from the Graduate Certificate + 36 CPs from a range of elective subjects from two streams, plus 2 core subjects

The UTS Online Master of Technology Management is designed for future-focused professionals who aspire to become growth-oriented technology leaders, and want to develop enterprise leadership and organisational acumen to enable a sustainable technology-driven future