- Current students
The Postgraduate Diploma in Computing develops your ability to solve complex applied computing problems and gets you up-to-date with the latest advances in information technology. Choose the courses that are most relevant to your career, including data mining, adaptive business intelligence, multimedia development, website management, IT applications, networks, and security. Learn to manage IT projects and find out how information technology affects society. Further your ability to design, plan and organise technology based projects that are produced on time, to high standards, and within budget.
- Fits around your career: all courses are electives and you can select the classes that suit you best.
- Taught by experts and experienced IT practitioners.
- Emphasis on the practical application of your knowledge: apply what you’ve learnt in our state-of-the-art computer labs, which you can access seven days a week.
- A mix of on-campus weekend classes and a high proportion of self-directed research. Classes are supplemented by electronic communications.
- Cross-credit this programme towards the Master of Computing.
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. 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.
|Managing Information Technology Projects (ISCG8022)||15 credits (0.125 EFTS)||To prepare participants to systematically carry out substantial projects in the Information Technology area.|
|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.|
|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.|
|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.|