Master of Artificial Intelligence
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.
NZ$17,207
inc GST
Enquire about international pricing
NZ$17,207
inc GST
Enquire about international pricing
Core skills this course teaches
Develop advanced technical skills in AI and machine learning
Gain hands-on expertise in key AI disciplines such as machine learning, computer vision, and deep learning, with practical programming and project experience.
Apply AI methodologies to address real-world challenges
What You're Signing Up For
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.
Course Content
- Machine Learning
- Computer Vision
- Deep Learning
- Ethics of Artificial Intelligence
- AI Project
- Foundations of Deep Learning (elective)
- Medical Data Informatics (elective)
- Embedded Systems (elective)
- 400-level Computer Science courses
- 400-level Software Engineering courses
- Optional 400-600 level courses in related subjects (MATH, STAT, MBIS, etc.)
What you need to know first
A bachelor's degree in a subject related to Computer Science.
Find these employment opportunities
AI Developer/EngineerMachine Learning EngineerAI ResearcherData ScientistRoles in automated transportation, artificial assistants, large-scale data processing, cybersecurity, and related fields
