Programme overview
This programme is no longer offered for new enrolments. Please consider the Master of Applied Technologies- Computing as an alternative. If you've already applied for this programme, we'll contact you about your options.
The Master of Computing allows you to develop the skills to undertake systematic research and solve complex applied computing problems. This programme focuses on fast developing areas of computing including networks and security, internet and intranets, interactive multimedia, data mining, adaptive business intelligence, and health informatics. Key learning objectives include designing, planning and organising technology based projects that are produced on time, to high standards, and within budget. You’ll develop your analytical, research, strategic planning, project management and interpersonal skills in undertaking this programme.
Highlights
- A combination of on-campus weekend classes and a high proportion of self-directed research. Classes are supplemented by electronic communications.
- Choose from a wide range of thesis topics and supervisors, giving you the chance to focus on an area of your interest.
- Flexibility: you choose whether you want to undertake a major 120 credit research project or to focus on coursework and do a 90 credit thesis.
- Increase your leadership and management skills through communication, leadership and cooperation in team based projects.
- Learn from expert lecturers on the cutting-edge of the discipline.
- Enjoy state-of-the-art labs, open seven days a week.
- Individualised support: new postgraduate students are enrolled by the Programme Leader and given their timetables individually.
Areas of Specialisation
Cybersecurity
Be part of the select group of people who understand both the theory and practice of cybersecurity. Specialise in this area by choosing the following courses: Enterprise Network Information Security Management, Cloud Computing, Special Topic – Cybersecurity, Research Methods, and Thesis.
IT Management
Are you an IT professional who wants to further your career? Build your understanding of IT management by selecting the following courses: Managing IT Projects, Management Approaches for the IT Professional, Information Technology, and Strategic Planning.
Computer networks and cloud computing. Computer networks, real and virtual, are the connectors of the computing world. Organisations need people to help them manage their networks and 25% of computing jobs are in this area. Cloud computing is a relatively new development and is increasingly taking over the market. This pathway also gives you the opportunity to gain industry-recognised Microsoft and Cisco certifications, including those in Cloud Computing.
Software development. Software engineering regularly rates as one of the top jobs in the world. This dynamic and changing pathway gives graduates the knowledge to design and develop software solutions and products.
Business intelligence. The amount of data and speed at which it is collected by organisations has reached unprecedented levels in recent years. But data without analysis is just a storage problem. Business intelligence combines business, databases, data warehousing, data mining and software development to find ways for organisations to use this data for future planning. Business intelligence is pivotal in helping organisations understand their business, compete effectively and excel in their field. Through these courses, you’ll learn how to create and manage data warehouse solutions that fit into the strategies of complex enterprises in the ever-changing market, and how to develop effective data models and reports to help business decision-making.
Thesis Research Topics
Currently we are able to facilitate research for your Master’s degree thesis in the following areas.
- Computational Finance
- Health Informatics
- Robotics Applications
- Business Process Modelling
- Cloud Computing
- Mobile Networks
- Mobile and Wireless Communications
- Business Intelligence
- Computer Vision/Speech Recognition
- Natural Language Processing
- Machine Translation
- Data Mining
- Process Mining
- Social Networks
Admission requirements
For this programme, you will need the following:
1. A recognised Bachelor's degree in the same or similar discipline, with an average grade of B- or higher in all Level 7 courses; OR
2. Have a professional qualification in a relevant discipline, recognised as being equivalent to the above.
3. 8 credits at NCEA Level 2 in English (4 in reading, 4 in writing).
4. If English is your second language, you are required to have one or more of the following:
- Have achieved NCEA Level 3 and New Zealand University entrance
- Be able to provide evidence you satisfy our criteria for existing English proficiency
- Have achieved at least one English proficiency outcome in the last two years
Don't meet the requirements? We also accept:
- Provide sufficient evidence to be eligible for special admission.
For more information download the programme regulations:
Courses and timetables
For more details on the courses including timetables, please click on the course names below.
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