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Artificial Intelligence

Artificial Intelligence is impacting on our lives, business and environment.  Knowing more about this transformational technology can put you ahead on your chosen career path and put you in the driver’s seat as New Zealand positions itself as a global leader in AI.

The growth of available data (“Big Data”) across companies, industry, government agencies and departments, iwi and community organisations has meant more and more of them are adopting AI into their mainstream activities.  This has led to an increased demand for graduates with advanced skills in AI.

Studying AI at the University of Waikato will give students advanced skills and techniques to better leverage AI for the benefit of our communities.

The University of Waikato is well known worldwide for its computer science research and for development of open source software such as WEKA, MOA and ADAMS, with more than 10 million downloads. The University has recently invested in New Zealand’s most powerful computer for AI, it is also the home of Te Ipu o te Mahara, The Artificial Intelligence Institute.

Students have the opportunity to work alongside some of the world's leading AI researchers, with particular expertise in machine learning, deep learning, real-time analytics and open source software.

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Key information

Study Location:Hamilton
Area of Study:

Study Artificial Intelligence in these qualifications

Study Artificial Intelligence as a specialisation of

Career opportunities

  • Artificial intelligence architect
  • Big data engineer
  • Business analyst
  • Data analyst/scientist
  • Database programmer
  • Financial analyst
  • Machine learning engineering
  • Market research analyst
  • Mathematical modeller
  • Mathematics or computer science training
  • Multimedia content creator
  • Network architect
  • Operations researcher
  • Research programmer
  • Software developer
  • Systems analyst
  • Usability engineer

500 Level

Code Paper Title Points Occurrence / Location
AIMLX591Artificial Intelligence Dissertation30.023X (Hamilton)
A report on findings of a theoretical or empirical investigation.
AIMLX592Artificial Intelligence Dissertation60.023X (Hamilton)
A report on the findings of a theoretical or empirical investigation.
AIMLX594Artificial Intelligence Thesis120.023X (Hamilton)
An externally examined piece of written work that reports on the findings of supervised research.
COMPX521Machine Learning Algorithms15.023B (Hamilton)
This paper exposes students to selected machine learning algorithms and includes assignments that require the implementation of these algorithms.
COMPX523Data Stream Mining15.023A (Hamilton)
Data streams are everywhere, from F1 racing over electricity networks to news feeds. Data stream mining relies on and develops new incremental algorithms that process streams under strict resource limitations.
COMPX525Deep Learning15.023A (Hamilton)
This paper provides an introduction into Deep Learning, focussing on both algorithms and applications. It covers both the basics of Neural networks and current mainstream and advanced Deep Learning technology.
COMPX556Metaheuristic Algorithms15.023B (Hamilton)
Metaheuristic are stochastic search algorithms for solving massive scale combinatorial problems where exact algorithms do not exist. This paper explores the state-of-the-art metaheuristics such as GRASP, particle swarm optimisation, and parallel metaheuristics, along with their applications in operations research, science and engin...

Rhys Compton My masters focuses on machine learning and artificial intelligence application in health and biotechnology. There is so much room to make our health systems more efficient for patients and doctors, and machine learning and AI will be at the core of this.

Read stories from other Artificial Intelligence students

Scholarships and prizes

New to Waikato? The International Excellence Scholarship is worth up to $10,000.

Visit our Scholarship Finder for information about possible scholarships

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Useful Links


School of Computing and Mathematical Sciences
Phone: 0800 924 528 or +64 7 838 4625
Email: [email protected]