Computer Science
A course by
University of Canterbury
The Master of Artificial Intelligence (MAI) at the University of Canterbury provides advanced training in AI engineering, machine learning, and their practical applications, culminating in a major project. The programme prepares graduates to tackle real-world problems with leading AI techniques.
In-person study
Face-to-face learning in a physical classroom setting
Ilam Campus, Christchurch
It will take a total of 1 year

Gain hands-on expertise in key AI disciplines such as machine learning, computer vision, and deep learning, with practical programming and project experience.

Learn how to design and implement AI solutions to complex problems in various industries, from primary sectors to tourism, manufacturing, and beyond.

UC's Master of Artificial Intelligence enables students with a computing background to develop advanced skills and knowledge in AI engineering, machine learning, and the broader social and technical aspects of artificial intelligence. The programme consists of both taught and project components, including compulsory topics in machine learning, deep learning, computer vision, and the ethics of AI. Elective options allow customisation toward applications in embedded systems, medical data science, and more. Graduates are equipped for roles across the AI and ICT sector, able to apply innovative AI techniques in a range of industries.
What you need to know first
A bachelor's degree in a subject related to Computer Science.

Information and Communication Technology
Artificial Intelligence
Data Science
Engineering

AI Developer/Engineer
Machine Learning Engineer
Computer Science
A course by
University of Canterbury
The Master of Artificial Intelligence (MAI) at the University of Canterbury provides advanced training in AI engineering, machine learning, and their practical applications, culminating in a major project. The programme prepares graduates to tackle real-world problems with leading AI techniques.
In-person study
Face-to-face learning in a physical classroom setting
Ilam Campus, Christchurch
It will take a total of 1 year

Gain hands-on expertise in key AI disciplines such as machine learning, computer vision, and deep learning, with practical programming and project experience.

Learn how to design and implement AI solutions to complex problems in various industries, from primary sectors to tourism, manufacturing, and beyond.

UC's Master of Artificial Intelligence enables students with a computing background to develop advanced skills and knowledge in AI engineering, machine learning, and the broader social and technical aspects of artificial intelligence. The programme consists of both taught and project components, including compulsory topics in machine learning, deep learning, computer vision, and the ethics of AI. Elective options allow customisation toward applications in embedded systems, medical data science, and more. Graduates are equipped for roles across the AI and ICT sector, able to apply innovative AI techniques in a range of industries.
What you need to know first
A bachelor's degree in a subject related to Computer Science.

Information and Communication Technology
Artificial Intelligence
Data Science
Engineering

AI Developer/Engineer
Machine Learning Engineer
Understand the ethical and societal implications of artificial intelligence technologies.
B Grade Average in 60 points of 300-level Computer Science courses, OR B Grade Average in 60 points of 300-level courses plus other approved qualifications/experience.
International students: must meet English language requirements.
AI Researcher
Data Scientist
Roles in automated transportation, artificial assistants, large-scale data processing, cybersecurity, and related fields
Understand the ethical and societal implications of artificial intelligence technologies.
B Grade Average in 60 points of 300-level Computer Science courses, OR B Grade Average in 60 points of 300-level courses plus other approved qualifications/experience.
International students: must meet English language requirements.
AI Researcher
Data Scientist
Roles in automated transportation, artificial assistants, large-scale data processing, cybersecurity, and related fields