The University of Waikato in Hamilton, New Zealand, is an internationally well-known research and dynamic institute with a reputation for greatness in research and teaching. The University of Waikato intends to create knowledge and understanding that will benefit society and the environment.
The University of Waikato is a hub for an impressive range of academic departments and research centers committed to advancing knowledge and understanding in science, engineering, technology, health, business, education, and the humanities.
The University of Waikato is a leader in research with its world‐class responsibility spanning many areas, from the environment and sustainability to health, education, and the humanities. University of Waikato-s research capabilities is assisted by world-famous research infrastructure and collaborations with top research institutes and universities worldwide.
Address: Hillcrest, Hamilton 3216, New Zealand
Phone: +64 7-856 2889
Email: msc@waikato.ac.nz
Website: https://www.waikato.ac.nz/
• Bachelor of Computer Science
• Bachelor of Science
• Master of Science
• Master of Science (Research)
• Master of Science (Technology)
• Master of Philosophy
• Doctor of Philosophy
The University of Waikato offers an extensive range of computer science and technology courses. In addition to that the University of Waikato also conducts research in the following computer science research areas;
• Cyber Security
• Design Research
• Digital Library
• Energy Informatics
• Human-Computer Interaction
• Information Systems and Databases
• Machine Learning
• Computer Networks
Cyber Security -
• Cloud computing technologies
Design Research -
• Design thinking
• Information design and information search
• Interaction design
• Interface design
• Internet design
• Printed and digital books
• Typography
• User experience design
Energy Informatics -
• Electricity Demand-Side Load Management And Storage Mechanisms
• Smart Homes
• Electric Vehicles
Human-Computer Interaction -
• Mobile Devices, Interaction and Applications
• Interaction Design
• Interfaces for Information Retrieval
• Information Visualization
• Computer-Supported Collaborative Work
• Open Source Usability
• Indigenous Language Interfaces
• User Centred Design
• Knowledge-Based Interfaces
• Smart Environments and Pervasive Computing
Information Systems and Databases -
• Mobile tourist information system
• Electronic parrot
Computer Networks -
• Network Management Systems
• Low-Cost Wireless Technologies
• Wireless NIC cards
• Cyber Security Group
• Design Research Group
• Digital Library Group
• Energy Informatics Group
• Formal Methods Group
• Human-Computer Interaction Group
• Information Systems and Databases Group
• Machine Learning Group
• ORKA - Cloud and Adaptive-Systems Lab and
• WAND Computer Networks Group
• The Centre for Open Software Innovation (COSI)
• New Zealand International Doctoral Scholarship
• Doctoral Scholarship in Computer Science
• Waikato Doctoral Scholarship
• Waikato Postgraduate Scholarship
• New Zealand Tertiary Education Commission Doctoral Scholarships
• Waikato Postgraduate Research Scholarship
• Waikato International Postgraduate Scholarship
Funded projects in computer science at the University of Waikato - Hamilton - New Zealand
• Machine Learning for Automated Detecting and Categorising of Online Abusive Language
• Smartphone-Based Augmented Reality for Learning in Remote Areas
• Wireless Sensor Network for Monitoring Pollutants in Rivers
• Autonomous Drone Navigation Using Machine Learning
• Multi-Agent System for Smart Home Automation
The University of Waikato in Hamilton, New Zealand, delivers a Doctor of Philosophy (Ph.D.) degree in Computer Science. Admission requirements to this program
• Official transcripts from all post-secondary institutions studied
• Three letters of recommendation
• A statement of purpose
• A research proposal
• A CV
• Official scores from the TOEFL, IELTS, or PTE for Non-native English language applicants
• A copy of the passport
Additionally, the University of Waikato requires applicants to hold a Master-s degree or equivalent in Computer Science or a relevant field, with a minimum GPA of 3.5/4.0
