- Current students
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.
- 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
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.
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.
Learn more about data communications and networks by selecting courses like Enterprise Network Design and Management, Networks and Protocols, Enterprise Network Information Security, Mobile and Wireless Communications, as well as other courses that look at network-based applications.
The development of web-based applications is a hot topic at the moment. Specialise in this area by selecting courses like Interactive Multimedia Development 1 & 2, Internet Applications to Business, Internet and Intranet Management, and Web-Based Systems.
Health Informatics includes courses like Interactive Multimedia and Web-based Systems.
Game Design is a hot-topic, and many people have great game ideas, but will they work? Does the technology support their ideas and dreams? What makes a game fun? How do you quickly create a prototype from a game idea? Get the answers to these questions and enhance your Game Design portfolio by studying courses like Entertainment Theories for Software Solutions, Software Architectures for Game Design, and Interactive Media Development.
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
- Game Development/Game Design
- Data Mining
- Process Mining
- Social Networks
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.
|Research Methods (ISCG8024)||30 credits (0.25 EFTS)||To provide students with a framework for applied research through examining research methods and preparing research proposals in computer science and information technology areas.|
|Managing Information Technology Projects (ISCG8022)||15 credits (0.125 EFTS)||To prepare participants to systematically carry out substantial projects in the Information Technology area.|
|Introduction to Data Science (ISCG8026)||15.0 credits (0.125 EFTS)||The course explores concepts, methodologies and tools used in the growing and emerging domain of data sciences. Drawing upon a data science pipeline approach and group activities the class learning experience seeks, through contemporary analyse techniques, to turn ubiquitous data into information, knowledge, and data product.|
|Enterprise Network Design and Management (ISCG8030)||15 credits (0.125 EFTS)||To equip participants with an in-depth understanding of the concepts and procedures used in the requirements analysis, design, installation and management of enterprise-wide computer and communications networks|
|Advanced Web Development (ISCG8038)||15 credits (0.125 EFTS)||To critically review the application of web based systems in industry, commerce and research. To comprehensively examine a wide range of web related technologies and their roles in planning, developing and managing web based systems.|
|Enterprise Network Information Security Management (ISCG8040)||15 credits (0.125 EFTS)||To equip the participants with an in-depth understanding of concepts, standards, procedures and mitigation techniques and tools used in the design, installation and management of enterprise network information security.|
|Mobile and Wireless Communications (ISCG8041)||15 credits (0.125 EFTS)||To provide the participants with a framework for applied wireless communications through research and industry contact.|
|Data Mining and Industry Applications (ISCG8042)||15 credits (0.125 EFTS)||To equip the participants with an in-depth understanding of concepts, procedures and computing techniques for enterprise data mining with applications to different industries.|
|Adaptive Business Intelligence (ISCG8043)||15 credits (0.125 EFTS)||To critically review the application of business intelligence in industry, commerce, and research. To comprehensively examine a wide range of artificial intelligence (AI) technologies and their role in achieving adaptive business intelligence.|
|Network Programming (ISCG8045)||15 credits (0.125 EFTS)||To critically review the fundamental concepts of network programming with the Java programming language. The course will comprehensively examine a range of network technologies such as TCP/IP sockets, UDP data grams, and high level technologies such as remote method invocation, and web services.|
|Cloud Computing (ISCG8046)||15 credits (0.125 EFTS)||To provide the participants with a framework for applied Cloud Computing through research.|
|Cyber Security and Cloud Computing (ISCG8047)||15 credits (0.125 EFTS)||To equip the participants with an in-depth understanding of concepts, procedures and computing techniques for cyber-security in the context of cloud-based systems and small size business infrastructure planning.|
|Mobile Security (ISCG8048)||15 credits (0.125 EFTS)||To provide the participants with a framework for applied mobile security through research.|
|Data Warehouse Architecture (ISCG8049)||15 credits (0.125 EFTS)||To critically review the application of data warehousing and its architecture in industry, commerce, and research and to comprehensively examine a wide range of Data warehousing techniques and technologies including Big Data for developing efficient data warehouse solutions for Business Intelligence.|
|Machine Learning (ISCG8050)||15 credits (0.125 EFTS)||To develop an advanced technical knowledge and enhanced understanding of a number of Machine Learning techniques and their application from among a wide range of Intelligent Data and Information Processing Systems including Business Intelligence, Cyber-security, Speech Processing, Automation and Computer Vision.|
|The Internet of Things (ISCG8052)||15 credits (0.125 EFTS)||To develop an advanced technical knowledge and enhanced understanding of The Internet of Things technologies and their applications to a wide range of real wold problems in areas such as: - Smart Rooms - Health - Monitoring - City Planning - Farming and agriculture - Smart cities, driverless cars, drones and autonomous robots - Smart Roads - Environment- Air and water quality - Education.|
The 'Key Information for Students' below does not reflect any international student information.
Please take this information as a guideline only. For example, you will often see a difference between these tuition fees and our estimate above. This is because there are a number of variables, such as the specific courses chosen within a programme.
The national graduate outcomes information is for all tertiary New Zealand providers including Unitec. This information is provided by the New Zealand Government and is derived from a national database that links educational and income information.
Key Information for Students
Entry requirementsMinimum requirements: Applicants must have a relevant bachelor degree with merit achievement, (B- or higher) or a relevant equivalent qualification, or be able to demonstrate equivalent competencies. English language requirements apply.
Detailed requirements: See the above "Admission requirements" section for more information about entry to this progrogramme.
|Government tuition subsidy:||$9,340||$18,681|
National graduate outcomes
|(3 years after completion)|
|Earnings range||$52,207 - $88,943|
|In further study||25%|
|On a benefit||N/A|
Note:All KIS information is the most recent available relating to domestic students only. Click here for more information about the Key Information for Students.