Master of Philosophy in Computer Science The University of Waikato - Hamilton Campus, New Zealand

The Master of Philosophy is a one-year research-based degree in which candidates undertake a programme of supervised research which critically investigates a topic of substance and significance.


Why study a MPhil?

The Master of Philosophy (MPhil) degree has a status higher than that of other Masters degrees but lower than that of the PhD degree. It is a research degree designed to recognise an original contribution to knowledge and the comments on the originality and significance of the PhD thesis apply here too. However, it is intended that an MPhil thesis be the product of only one year of full-time research (though in practice candidates invariably take longer) and the original contribution to knowledge will, therefore, be less than would be expected in a PhD thesis.


Computer Science

Studying Computer Science at the University of Waikato, you'll learn about software systems and how people and computers interact. You’ll also learn how to create new software, and ensure it's easy for people to use.


Why study Computer Science?

Computer Science is rapidly changing the world we live in. Ongoing progress in computing and computer technology means that there is a steady need for more qualified computer professionals. The University of Waikato is recognised among the world’s best in computer science, and offers the largest range of advanced computer science courses in New Zealand.

A major in Computer Science is flexible, allowing you to focus on a particular area, or to complete a more generalist major. The papers available are carefully designed to ensure you have a good mastery of a particular area of Computer Science and will equip you with the skills you need to succeed in your chosen career.

Waikato is well-recognised internationally for our computer science research, and have especially enjoyed success with open source software development.

Students have the opportunity to work alongside internationally-respected academics on a wide range of exciting and innovative research projects in areas such as:

• Broadband communication
• Data compression
• Digital libraries
• Formal methods
• Human-computer interaction
• Machine learning
• Software engineering
• Cyber security.