Programme overview
Artificial Intelligence (AI) is increasingly impacting society – and we expect that impact to grow as developments speed up.
The Master of Artificial Intelligence is designed to meet the needs of both developers and researchers who want to improve the capability of AI systems.
You will be able to fulfil the demands of the global job market with essential knowledge, skills, and experience. So take your place at the exciting AI frontier. Help to shape and even revolutionise our world.
For general student enquiries, please contact our Student Hub.
Programme structure
120-point taught masters
60 points:
- COMPSCI 712 AI Agency, Ethics and Society
- COMPSCI 713 AI Fundamentals
- COMPSCI 714 AI Architecture and Design
- INFOSYS 703 Managing with Artificial Intelligence
At least 15 points from:
- COMPSCI 703 Generalising Artificial Intelligence
- COMPSCI 764 Deep Learning
- COMPSCI 769 Natural Language Processing
- COMPSYS 726 Robotics and Intelligent Systems
30 points:
- COMPSCI 792 Research Project
or - COMPSCI 779 Internship
or - ENGGEN 794 Research Project
Up to 15 points from:
- COMPSCI 705 Advanced Topics in Human Computer Interaction
- COMPSCI 720 Advanced Design and Analysis of Algorithms
- COMPSCI 732 Software Tools and Techniques
- COMPSCI 734 Web, Mobile and Enterprise Computing
- COMPSCI 750 Computational Complexity
- COMPSCI 751 Advanced Topics in Database Systems
- COMPSCI 752 Big Data Management
- COMPSCI 753 Algorithms for Massive Data
- COMPSCI 760 Advanced Topics in Machine Learning
- COMPSCI 761 Advanced Topics in Artificial Intelligence
- COMPSCI 762 Foundations of Machine Learning
- COMPSCI 765 Modelling Minds
- COMPSCI 767 Intelligent Software Agents
- COMPSCI 773 Intelligent Vision Systems
- COMPSYS 726 Robotics and Intelligent Systems
- COMPSYS 731 Human-Robot Interaction
- COMPSYS 732 Mobile Autonomous Robotics
- DIGIHLTH 701 Principles of Digital Health
- DIGIHLTH 703 New Zealand Health Data Landscape
- DIGIHLTH 704 Artificial Intelligence in Healthcare
- DIGIHLTH 706 Health Data Analytics
- ELECTENG 722 Modern Control Systems
- ENGGEN 730 Management Skills for Project Professionals
- ENGGEN 743 Applied Creative Thinking
- ENGSCI 760 Algorithms for Optimisation
- GEOG 761 Special Topic: Monitoring Change from Space with Machine Learning
- INFOGOV 704 Artificial Intelligence Regulation
- INFOSYS 722 Data Mining and Big Data
- PHIL 745 Philosophy of Mind 1
- STATS 762 Regression for Data Science
- STATS 769 Advanced Data Science Practice
- STATS 782 Statistical Computing
- STATS 784 Statistical Data Mining
180-point taught masters
60 points:
- COMPSCI 712 AI Agency, Ethics and Society
- COMPSCI 713 AI Fundamentals
- COMPSCI 714 AI Architecture and Design
- INFOSYS 703 Managing with Artificial Intelligence
At least 15 points from:
- COMPSCI 703 Generalising Artificial Intelligence
- COMPSCI 764 Deep Learning
- COMPSCI 769 Natural Language Processing
- COMPSYS 726 Robotics and Intelligent Systems
Up to 45 points from:
- COMPSCI 760 Advanced Topics in Machine Learning
- COMPSCI 761 Advanced Topics in Artificial Intelligence
- COMPSCI 762 Foundations of Machine Learning
- COMPSCI 765 Modelling Minds
- COMPSCI 767 Intelligent Software Agents
- COMPSCI 773 Intelligent Vision Systems
- COMPSYS 726 Robotics and Intelligent Systems
- COMPSYS 731 Human-Robot Interaction
- COMPSYS 732 Mobile Autonomous Robotics
- ELECTENG 722 Modern Control Systems
- ENGGEN 730 Management Skills for Project Professionals
- ENGGEN 743 Applied Creative Thinking
Either
15 points:
30 points:
- COMPSCI 792 Research Project
or - ENGGEN 794 Research Project
A further 15 points from:
- COMPSCI 705 Advanced Topics in Human Computer Interaction
- COMPSCI 720 Advanced Design and Analysis of Algorithms
- COMPSCI 732 Software Tools and Techniques
- COMPSCI 734 Web, Mobile and Enterprise Computing
- COMPSCI 750 Computational Complexity
- COMPSCI 751 Advanced Topics in Database Systems
- COMPSCI 752 Big Data Management
- COMPSCI 753 Algorithms for Massive Data
- DIGIHLTH 701 Principles of Digital Health
- DIGIHLTH 703 New Zealand Health Data Landscape
- DIGIHLTH 704 Artificial Intelligence in Healthcare
- DIGIHLTH 706 Health Data Analytics
- ENGSCI 760 Algorithms for Optimisation
- GEOG 761 Special Topic: Monitoring Change from Space with Machine Learning
- INFOGOV 704 Artificial Intelligence Regulation
- INFOSYS 722 Data Mining and Big Data
- PHIL 745 Philosophy of Mind 1
- STATS 762 Regression for Data Science
- STATS 769 Advanced Data Science Practice
- STATS 782 Statistical Computing
- STATS 784 Statistical Data Mining
- Or courses listed elsewhere in this schedule
Or
30 points:
- COMPSCI 779 Internship
A further 30 points from:
- COMPSCI 705 Advanced Topics in Human Computer Interaction
- COMPSCI 720 Advanced Design and Analysis of Algorithms
- COMPSCI 732 Software Tools and Techniques
- COMPSCI 734 Web, Mobile and Enterprise Computing
- COMPSCI 750 Computational Complexity
- COMPSCI 751 Advanced Topics in Database Systems
- COMPSCI 752 Big Data Management
- COMPSCI 753 Algorithms for Massive Data
- DIGIHLTH 701 Principles of Digital Health
- DIGIHLTH 703 New Zealand Health Data Landscape
- DIGIHLTH 704 Artificial Intelligence in Healthcare
- DIGIHLTH 706 Health Data Analytics
- ENGSCI 760 Algorithms for Optimisation
- GEOG 761 Special Topic: Monitoring Change from Space with Machine Learning
- INFOGOV 704 Artificial Intelligence Regulation
- INFOSYS 722 Data Mining and Big Data
- PHIL 745 Philosophy of Mind 1
- STATS 762 Regression for Data Science
- STATS 769 Advanced Data Science Practice
- STATS 782 Statistical Computing
- STATS 784 Statistical Data Mining
- Or courses listed elsewhere in this schedule
You'll also need to meet other requirements, including time limits and total points limits. See Postgraduate enrolment.
2025 entry requirements
My highest qualification is from:
Programme requirements
Minimum programme requirements
Minimum requirements listed here are the likely grades required and do not guarantee entry. We assess each application individually and applicants may require a higher grade to be offered a place.
-
Study optionTaught 120 pointsGrade requiredGPA Grade Point Average 4.0
-
Study optionTaught 180 pointsGrade requiredGPA Grade Point Average 4.0
Further programme requirements
Select your study option:
The MAI (120 point pathway) will accept graduates with a Bachelor of Advanced Science (Honours), Bachelor of Engineering, Bachelor of Engineering (Honours) or Bachelor of Science (Honours) with a Grade Point Average of 4.0 or higher in 60 points above Stage III.
The MAI (180 point pathway) will accept students with the Degree of Bachelor of Science with a Grade Point Average of 4.0 or higher in 60 points above Stage II.
Other pathways to study
Alternatively, a student may enter after having passed 60 points in the Postgraduate Certificate in Artificial Intelligence or Postgraduate Diploma in Artificial Intelligence from this University with a Grade Point Average of 4.0 or higher, provided that the postgraduate certificate or postgraduate diploma has not been awarded.
If you do not meet the above entry requirements, but have other relevant experience and think you would be successful in postgraduate study, please contact us to discuss alternative pathways into our programmes.
Programme requirements
Minimum programme requirements
Minimum requirements listed here are the likely grades required and do not guarantee entry. We assess each application individually and applicants may require a higher grade to be offered a place.
-
Study optionTaught 120 pointsGrade requiredGPE Grade Point Equivalent 4.0
-
Study optionTaught 180 pointsGrade requiredGPE Grade Point Equivalent 4.0
-
QualificationIELTS Academic International English Language Testing SystemScore required6.5
No bands below 6.0
Further programme requirements
How much does a Master of Artificial Intelligence cost per year?
2025 fees
- Domestic students
- NZ$11,518.65*
- International students
- NZ$51,912.30*
Fees are set in advance of each calendar year and will be updated on this website. Fees are inclusive of 15% GST, but do not include the Student Services Fee, course books, travel and health insurance, or living costs. Amounts shown are indicative only. In addition to the tuition fees, there is a Student Services Fee of $9.24 per point, estimated at $1,108.80 for full-time study (120 points). Fees will be confirmed upon completion of enrolment into courses.
*Please note: amounts shown are indicative and estimates only.
Find out about financial support information
Scholarships and awards
Find out about the scholarships you may be eligible for.
Student loans and allowances
Are you a New Zealand citizen or resident? You could be eligible for a student loan or allowance.
Cost of living
Get an idea of how much accommodation and general living in Auckland will cost.
Key dates
Please note: We will consider late applications if places are still available. International students should start the application process as early as possible to allow sufficient time to apply for a visa.
Application closing dates
- Semester One 2026
- Domestic 17 February 2026
- International 8 December 2025
Start dates
Here are the start dates for the programme.
Semester One | Starts – 3 March |
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Ends – 30 June |
Semester One | Starts – 2 March |
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Ends – 29 June |
Other important dates
See important dates for the academic year, including orientation, enrolment, study breaks, exams, and graduation.
Where could this programme take you?
As AI technologies continue to advance and become integrated into various sectors, the demand for skilled professionals in this field is growing rapidly. The sector offers a range of career opportunities for individuals with the right skills and expertise.
Jobs related to this programme
- Artificial intelligence engineer
- Machine learning engineer
- Data engineer
- Natural language processing engineer
- Data mining analyst
- Big data engineer/architect
- Research scientist
- Researcher
Student career planning service
Once you become a student at the University, you can get help with planning and developing your career from Career Development and Employability Services.
Do you need help?
Can’t find the answer in AskAuckland?
Need to speak to someone?
You can phone us directly.
- Auckland
- 923 5025
- Outside Auckland
- 0800 61 62 63
- International
- +64 9 373 7513