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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:

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

300 Level

Code Paper Title Points Occurrence / Location
COMPX301Design and Analysis of Algorithms15.024A (Hamilton)
This course gives a survey of advanced algorithms and analysis of their performance, along with heuristic methods that include basic Artificial Intelligence techniques.
COMPX307Principles of Programming Languages15.024B (Hamilton)
The design, implementation and use of programming languages, in particular the use of functional languages to implement imperative languages will be studied. Assignments will involve challenging programming problems.
COMPX310Machine Learning15.024B (Hamilton) & 24B (Tauranga)
This paper introduces Machine Learning (ML) which is the science of making predictions. ML algorithms strive to be fast and highly accurate, while processing large datasets. This paper will use standard Python-based ML toolkits to teach the fundamentals of ML.
COMPX323Advanced Database Concepts15.024A (Hamilton)
This paper provides an introduction to the advanced features of database management systems. Students will learn to use and manipulate advanced features, and to understand and explore the technical background of large database management systems. They will have hand-on practice in using these features to create, query and maintain ...
COMPX361Logic and Computation15.024B (Hamilton) & 24B (Tauranga)
The syllabus includes: further development of predicate logic with application to program verification; mathematical induction including structural induction; finite state automata and regular languages; Kleene's Theorem; Turing machines, the Church-Turing thesis, universal Turing machines and the Halting problem; formal grammars a...
DATAX322Probability and Stochastic Processes15.024A (Hamilton)
This paper introduces students to probability theory and stochastic processes. It covers formally the theoretical foundations of probability, random variables, statistics, stochastic processes and Markov chains.

500 Level

Code Paper Title Points Occurrence / Location
AIMLX591Artificial Intelligence Dissertation30.024X (Hamilton)
A report on findings of a theoretical or empirical investigation.
AIMLX592Artificial Intelligence Dissertation60.024X (Hamilton)
A report on the findings of a theoretical or empirical investigation.
AIMLX594Artificial Intelligence Thesis120.024X (Hamilton)
An externally examined piece of written work that reports on the findings of supervised research.
COMPX521Machine Learning Algorithms15.024B (Hamilton)
This paper exposes students to selected machine learning algorithms and includes assignments that require the implementation of these algorithms.
COMPX523Machine Learning for Data Streams15.024A (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 Learning15.024A (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.
COMPX546Graph Theory15.024B (Hamilton)
An introduction to graph theory and combinatorics, including network optimisation algorithms.
COMPX555Bioinformatics15.024B (Hamilton)
An introduction to bioinformatics, open to students majoring in computer science or biology. It includes an overview of molecular biology, genomics, script language programming, algorithms for biological data, an introduction to machine learning and data mining, and relevant statistical methods.

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]