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Study Computing and Information Technology at Unitec in Auckland, New Zealand! Apply now at

Master of Computing

Advance your career in computing in this comprehensive and challenging Master’s programme where you’ll develop high level analytical, research, strategic planning and project management skills and improve your ability to design, plan and organise technology based projects.

240 (2.0 EFTS)
Mt Albert
Start dates
February or July
Full-time for two years or part-time for three to five years

Programme overview

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.

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:

Programme Regulations

Courses and timetables

For more details on the courses, please click on the course names below. Please note that our systems are updating with new course timetable information for 2023; please check back again soon.

Courses Credits Aim
Research Methods in Computer Science (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.
Courses Credits Aim
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
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.
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.
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.
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.

Moving to Te Pūkenga

Vocational education in Aotearoa (New Zealand) is changing to better meet the needs of learners like you.

As part of this transformational change, in 2023 Unitec will become fully part of Te Pūkenga, a national network delivering skills training in a wide range of locations throughout Aotearoa.

This means that while you are enrolling with Unitec now, from Semester 1, 2023 you will become a Te Pūkenga learner.

Te Pūkenga has the success and wellbeing of learners at its heart, and a review of all programmes is currently underway to help support this, including this programme. The aim is to make qualifications more portable, consistent and closely aligned with the needs of industry, and more in tune with where the world is headed.

The information contained here is correct at the time of publishing, but as the programme review is ongoing, the courses outlined may be liable to change over time.

Rest assured that we will notify you of any material changes to delivery that might impact what you study, where you study or the ways you learn.