Master of Artificial Intelligence
UC's Master of Artificial Intelligence (MAI) allows you to build on previous studies in computing and venture into the field of AI engineering and innovation.
Over the past decade, AI has become part of a large collection of powerful technologies that are applied widely to almost every area of life. In Aotearoa, there are important applications in our primary industry, high-value manufacturing, climate change, tourism, gaming, social interaction, and many more. This huge expansion requires many new graduates who understand AI and have expertise to use AI techniques to solve real-world problems.
This 12-month Master's degree is an applied programme with taught and practical coursework, finishing with a personalised project.
- Taught courses to explore the technical, social, and philosophical aspects of AI.
- Optional courses to customise your AI studies towards certain topics eg, embedded systems, deep learning, computer vision, and more.
- Capstone practical project at the end of your studies on a topic of your choice.
You will need a bachelor's degree in a subject related to Computer Science to enrol, with either a B Grade Average in 60 points of your 300-level Computer Science courses, or other approved qualifications or experience in the field.
If English is your additional language, you are also required to meet UC's English language requirements.
For the full entry requirements, use the admission requirements checker.
How to apply
You can enrol online at myUC.
Find out more about how to apply for graduate and postgraduate qualifications.
The Master of Artificial Intelligence is made up of 180 points, involving a mixture of compulsory and optional taught courses (120 points) and a 60-point practical project.
It can be completed over 12 months full-time, or part-time for up to 3 years.
The MAI can be started in either Semester 1 or 2 (February or July), with your project work taking place over the summer months (November–January).
Choose up to 60 points from the following:
- ENCE461 Embedded Systems 2
- DATA425 Foundations of Deep Learning
- DATA430 Medical Data Informatics
- SENG 400-level courses (excluding SENG402)
- COSC 400-level courses (excluding COSC470, COSC475, COSC476, COSC480, COSC486)
- Up to 30 points maximum chosen from MAOR404 Kaupapa Māori Research, and non-project 400 and 600-level courses in Mathematics, Business Information Systems, Statistics, or other approved options
There is a growing demand for graduates with the knowledge and ability to expand our AI systems and determine how best to integrate these into everyday products and services.
Studying this degree will prepare you for many roles in the ICT industry, from research to engineering in tools such as automated transportation, artificial assistants, large-scale data processing, cybersecurity, and many more.
- Read what other UC postgraduate students have gone on to achieve in their studies and careers in our student and graduate profiles.
- Te Rōpū Rapuara | UC Careers can help you to achieve the career you want, connect with employers, or find a job.
- For research into career destinations by qualification, visit Te Pōkai Tara | Universities New Zealand website.
- Find out more about what you can do with a degree from UC.
- Come along to an upcoming information event for prospective postgraduate students.
For study planning help, contact the Department of Computer Science and Software Engineering.
Te Kaupeka Pūtaiao | Faculty of Science
Te Whare Wānanga o Waitaha | University of Canterbury
Private Bag 4800