Master of Artificial Intelligence specialisation in Artificial Intelligence - Taught 120

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Artificial intelligence (AI) is an exciting and rapidly changing space, embracing data’s power to shape society and revolutionise industries with cutting-edge technology. It attracts a high level of public interest.
The programme aims to improve the capability of AI systems by fostering graduates who can:
- Develop sustainable new systems and ways of working
- Modify or enhance existing systems, tools, and techniques
- Create novel cutting-edge research, new technologies and systems using sustainable, ethical AI practices

Postgraduate study in Artificial Intelligence offers three options:
- Master of Artificial Intelligence (120 or 180 points)
- Postgraduate Diploma in Artificial Intelligence (120 points)*
- Postgraduate Certificate in Artificial Intelligence (60 points)*
*These programmes are subject to final regulatory approval and are therefore subject to change.

Postgraduate study in Artificial Intelligence
What can you study in Artificial Intelligence?
Artificial Intelligence (AI) is increasingly impacting society, and its effects are expected to grow as developments speed up.
Our new postgraduate Artificial Intelligence programmes have been designed to meet the needs of both developers and researchers who want to improve the capability of AI systems.
You’ll develop the essential knowledge, skills and experience to take your place on the exciting AI frontier, helping to shape and even revolutionise our world.
For the Master of Artificial Intelligence (MAI), the areas of study include:
- AI Fundamentals
- AI Architecture
- Deep Learning
- Natural Language Processing

Many avenues open up to graduates with training in Artificial Intelligence. Graduates will be able to fulfil the demands of the global job market with the essential knowledge, skills, and experience to undertake pioneering work and research in the dynamic area of Artificial Intelligence.
Jobs related to Artificial Intelligence
- Artificial intelligence engineer
- Machine learning engineer
- Data engineer
- Natural language processing engineer
- Big data engineer/architect
- Research scientist
- Researcher

Complete 120 points comprising:

60 points for all Compulsory Courses, and
At least 15 points from Group 1 Elective Courses, and
One of the following:
30 points for all Computer Science Research Project - 1 Semester, or
30 points for all Computer Science Research Project - 2 Semester, or
30 points for all Computer Science Internship - 1 Semester, or
30 points for all Computer Science Internship - 2 Semesters, or
30 points for all Engineering General Research Project - 1 Semester, or
30 points for all Engineering General Research Project - 2 Semesters, and
0 to 15 points from Group 2 Elective Courses

Compulsory Courses

Complete 60 points for ALL of the following:

COMPSCI 712 - AI Agency, Ethics and Society (15 points)

COMPSCI 713 - AI Fundamentals (15 points)

COMPSCI 714 - AI Architecture and Design (15 points)

INFOSYS 703 - Managing with Artificial Intelligence (15 points)

Group 1 Elective Courses

Complete at least 15 points from the following:

COMPSCI 703 - Generalising Artificial Intelligence (15 points)

COMPSCI 764 - Deep Learning (15 points)

COMPSCI 769 - Natural Language Processing (15 points)

COMPSYS 726 - Robotics and Intelligent Systems (15 points)

Computer Science Research Project - 1 Semester

Complete 30 points for ALL of the following:

COMPSCI 792 - Research Project (30 points)

Computer Science Research Project - 2 Semester

Complete 30 points for ALL of the following:

COMPSCI 792A - Research Project (15 points)

COMPSCI 792B - Research Project (15 points)

Computer Science Internship - 1 Semester

Complete 30 points for ALL of the following:

COMPSCI 779 - Internship (30 points)

Computer Science Internship - 2 Semesters

Complete 30 points for ALL of the following:

COMPSCI 779A - Internship (15 points)

COMPSCI 779B - Internship (15 points)

Engineering General Research Project - 1 Semester

Complete 30 points for ALL of the following:

ENGGEN 794 - Research Project (30 points)

Engineering General Research Project - 2 Semesters

Complete 30 points for ALL of the following:

ENGGEN 794A - Research Project (15 points)

ENGGEN 794B - Research Project (15 points)

Group 2 Elective Courses

Complete 0 to 15 points from the following:

COMPSCI 705 - Advanced Topics in Human Computer Interaction (15 points)

COMPSCI 720 - Advanced Design and Analysis of Algorithms (15 points)

COMPSCI 732 - Software Tools and Techniques (15 points)

COMPSCI 734 - Web, Mobile and Enterprise Computing (15 points)

COMPSCI 750 - Computational Complexity (15 points)

COMPSCI 751 - Advanced Topics in Database Systems (15 points)

COMPSCI 752 - Big Data Management (15 points)

COMPSCI 753 - Algorithms for Massive Data (15 points)

COMPSCI 760 - Advanced Topics in Machine Learning (15 points)

COMPSCI 761 - Advanced Topics in Artificial Intelligence (15 points)

COMPSCI 762 - Foundations of Machine Learning (15 points)

COMPSCI 765 - Modelling Minds (15 points)

COMPSCI 767 - Intelligent Software Agents (15 points)

COMPSCI 773 - Intelligent Vision Systems (15 points)

COMPSYS 726 - Robotics and Intelligent Systems (15 points)

COMPSYS 731 - Human-Robot Interaction (15 points)

COMPSYS 732 - Mobile Autonomous Robotics (15 points)

DIGIHLTH 701 - Principles of Digital Health (15 points)

DIGIHLTH 703 - New Zealand Health Data Landscape (15 points)

DIGIHLTH 704 - Artificial Intelligence in Healthcare (15 points)

DIGIHLTH 706 - Health Data Analytics (15 points)

ELECTENG 722 - Modern Control Systems (15 points)

ENGGEN 730 - Leadership and Professional Development (15 points)

ENGGEN 743 - Applied Creative Thinking (15 points)

ENGSCI 760 - Algorithms for Optimisation (15 points)

GEOG 761 - Special Topic: Monitoring Change from Space with Machine Learning (15 points)

INFOGOV 704 - Artificial Intelligence Regulation (15 points)

INFOSYS 722 - Data Mining and Big Data (15 points)

STATS 762 - Regression for Data Science (15 points)

STATS 769 - Advanced Data Science Practice (15 points)

STATS 782 - Statistical Computing (15 points)

STATS 784 - Statistical Data Mining (15 points)