Type of qualification
Level of study
Once you’ve graduated with a bachelor’s degree – or have equal experience – you can study at the postgraduate level. Doctoral qualifications require additional entry requirements.
Our courses follow the New Zealand Qualification Framework (NZQF) levels.
Time to complete
Where you can study
International students are not New Zealand citizens or residents.
- Not all listed subject course options are on offer every year.
- Some courses are offered in block mode.
Study a Postgraduate Diploma in Information Sciences – PGDipInfSc
The Postgraduate Diploma in Information Sciences will give you in-depth knowledge and expertise in Computer Science, Information Technology or Software Engineering. Many students choose to complete the Postgraduate Diploma in Information Sciences with a mix of courses that best suit you.
You can include courses in computer science, information technology or software engineering. You can also add data science, cyber security, information systems and/or business management.
What will you learn?
You’ll learn how to apply problem-solving and analytical thinking skills to the analysis of, and solutions to, general software-based problems within the broader ICT community. You’ll gain skills in evaluating policies and processes used in the design, construction, testing and maintenance of advanced technological solutions. You’ll be able to make informed strategic decisions.
Flexibility of focus
The Postgraduate Diploma in Information Sciences offers a range of courses across the computer science, information technology and software engineering areas. You may select whichever courses you the most.
The courses are exactly the same as the first year of the Master of Information Sciences. This means you can enrol for the Postgraduate Diploma in Information Sciences and then complete a Master of Information Sciences by extending your studies for just one more semester.
A PGDipInfSc is a good fit if you:
- have a bachelor’s degree in information sciences
- are interested in postgraduate study, but do not have a research background
- are thinking of perhaps continuing on to a master's degree.
Admission to Massey
All students must meet university entrance requirements to be admitted to the University.
To enter the Postgraduate Diploma in Information Sciences you will have:
- been awarded or qualified for the Bachelor of Information Sciences or an equivalent qualification, having achieved a B- grade average or higher over the qualifying 300-level majoring courses; or
- been awarded or qualified for a Bachelor’s degree or an equivalent qualification, having achieved a B- grade average or higher over the 300-level majoring courses, and have at least two years’ relevant professional experience demonstrated via a portfolio, and an interview if required.
You will need to provide copies of:
- all official academic transcripts for studies taken at all universities other than Massey University
- a CV and portfolio if applying on the basis of a Bachelor’s degree and at least two years’ relevant professional experience.
English language requirements
To study this qualification you must meet Massey University's English language standards.
Time limits for Honours, Distinction and Merit
Where your qualification is completed within the stated time limit and to a high standard, you may be able to graduate with Distinction or Merit.
- Look for information under ‘Student Progression’ in the General Regulations for Postgraduate Degrees, Postgraduate Diplomas and Postgraduate Certificates.
- Contact us through the Get advice button on this page if you have any questions.
Prior learning, credit and exemptions
For information on prior learning, exemptions and transfer of credit or other questions:
- review the Recognition of Prior Learning regulations
- contact us through the Get advice button on this page.
English language skills
If you need help with your English language skills before you start university, see our English for Academic Purposes (EAP) courses.
Maximum time limits for completion
There are maximum time limits to complete postgraduate qualifications. If you do not complete within the maximum time, you may be required to re-apply for the qualification if you wish to continue your studies.
To understand what you need to study and must complete to graduate read the official rules and regulations or this qualification.
You should read these together with all other relevant Statutes and Regulations of the University including the General Regulations for Postgraduate Degrees, Postgraduate Diplomas, and Postgraduate Certificates.
For returning students, there may be changes to the majors and minors available and the courses you need to take. Go to the section called ‘Transitional Provisions’ in the Regulations to find out more.
In some cases the qualification or specialisation you enrolled in may be no longer be taking new enrolments, so may not appear on these web pages. To find information on the regulations for these qualifications go to the Massey University Calendar.
Please contact us through the Get advice button on this page if you have any questions.
Structure of the Postgraduate Diploma in Information Sciences
If you study full-time, you’ll take 120 credits per year or 60 credits per semester.
Courses and specialisations
- Each qualification has its own specific set of courses. Some universities call these papers. You enrol in courses after you get accepted into Massey.
- Course code
- Each course is numbered using 6 digits. The fourth number shows the level of the course. For example, in course 219206, the fourth number is a 2, so it is a 200-level course (usually studied in the second year of full-time study).
- Each course is worth a number of credits. You combine courses (credits) to meet the total number of credits needed for your qualification.
- Some qualifications let you choose what subject you'd like to specialise in. Your major or endorsement is what you will take the majority of your courses in.
- Courses selected from the Schedule – 120 credits
Course planning key
- Courses that need to be completed before moving onto a course at the next level. For example, a lot of 200-level courses have 100-level prerequisite courses.
- Courses that must be completed at the same time as another course are known as corequisite courses.
- Some courses are restricted against each other because their content is similar. This means you can only choose one of the offered courses to study and credit to your qualification.
Subject Courses (Choose 120 credits from)
Computer Science courses
Course code: 159709 Computer Graphics credits 15
Graphics devices. Interactive graphics systems. Drawing algorithms. Lines and polygons. Curves and surfaces. Representation of 3-D objects. Perspective. Techniques for visual realism. The course will include practical programming work.View full course details
Course code: 159731 Studies in Computer Vision credits 15
Selected advanced topics including: low level digital image processing, 2D/3D image processing, image transforms, pattern recognition.View full course details
Course code: 159735 Studies in Parallel and Distributed Systems credits 15
Selected advanced topics including: Parallel computing; network security; client-server computing; compression; web applications; wireless and mobile computing.View full course details
Course code: 159736 Studies in Operating Systems and Architecture credits 15
Selected advanced topics including: Concurrency; scheduling; API programming; real-time and embedded systems; fault tolerance; computer architecture; HDLs.View full course details
Course code: 159740 Studies in Intelligent Systems credits 15
Selected advanced topics including: knowledge-based systems; AI; agents; natural language processing; search and constraint satisfaction.View full course details
Data Science courses
Course code: 158739 Data Mastery: Scripting, Databases and Data Privacy credits 15
An introduction to the field of analytics, including the process of identifying an analytics problem in context, identifying sources and acquiring data, preparing data for analysis to address the problem. Emphasis is placed on developing programming skills relevant for data processing and data retrieval from databases. Special attention is given to privacy, security and ethical considerations surrounding data, and to communication of results.View full course details
Course code: 158755 Data Science - Making Sense of Data credits 15
A study of the science of drawing knowledge and insights from data, including the concepts and techniques of data mining, machine learning and natural language processing. The course covers both theoretical and practical aspects using a range of software tools and algorithms.View full course details
Course code: 161762 Multivariate Analysis for Big Data credits 15
Research methods suitable for the analysis of big datasets containing many variables. The fundamentals of data visualisation, customer segmentation, factor analysis and latent class analysis with examples taken from business and health fields. Emphasis will be placed on achieving a conceptual understanding of the methods in order to implement and interpret the outcomes of multivariate analyses.View full course details
Course code: 161777 Practical Data Mining credits 15
A practical approach to data mining with large volumes of complex data; prepare, cleanse and explore data; supervised and unsupervised modelling with association rules and market basket analysis, decision trees, multi-layer neural networks, k-nearest neighbours, k-means clustering and self-organising maps, ensemble and bundling techniques, text mining; use of leading software tools; business examples and research literature.View full course details
Information Technology courses
Course code: 158736 Advanced Machine Learning credits 15
A review of advanced machine learning algorithms that use deep learning to extract knowledge from enterprise data. The course includes a practical component in which students adapt and apply deep learning algorithms to practical data sets.View full course details
Course code: 158738 Implementation and Management of Systems Security credits 15
Security and privacy are important features of information systems, in particular with the case of free access, as in Web-based services or E-commerce systems. The goal is to restrict the access of information to legitimate users only. For this purpose techniques from cryptography and information theory have to be studied.View full course details
Course code: 158740 Location Systems: Spatial Databases, Tools and Applications credits 15
This course will develop knowledge and skills in the use of geographic information science in an interdisciplinary context. Students will learn how to work with clients to identify requirements, model and collect data and create a location-based web application. A range of areas and a variety of different uses of geographic information will be covered using open source tools. An interdisciplinary group project will form part of the course.View full course details
Course code: 158741 Location Data: Mapping, Analysis and Visualisation credits 15
This course will develop knowledge and skills in the processing, analysis and visualisation of data that has a location on the earth. Location data is more and more readily available, and students will learn how to transform and integrate data from multiple sources, consider the impact of data uncertainty and privacy, and perform appropriate analysis for environmental, social and economic applications. Different data collection methods will be discussed, and a range of open source tools will be used.View full course details
Course code: 158750 Information Sciences Research Methods credits 15
A study of information science research, its methods, practices, social context and relationships to other fields of study. Research skills including research design, literature evaluation, data collection, data analysis and publication are practised in this course.View full course details
Course code: 158751 Object-Oriented Software Development - Theory and Practice credits 15
A study of the object-oriented paradigm applied to software development and database design. The course includes practical work with an object-oriented analysis and design method, a UML CASE tool and an object-oriented programming language.View full course details
Course code: 158757 User Interface Design and Evaluation credits 15
Focuses on the design and evaluation of human-computer interfaces (HCI) for computerised information systems covering: task analysis, the process of design, the use of rapid prototyping in HCI design, and formative and summative usability testing, as well as the integration of user interface design techniques into the SDLC. The approach is hands-on.View full course details
Course code: 158780 Information Technology Project Part 1 credits 15
An in-depth study of Information Technology research, exploring both research methods and project execution. This course provides a practical approach to the principles and practices of academic research, and incorporates a full execution of the preliminary parts of a project life cycle, including the proposal, literature review, methodology and pilot study.View full course details
Course code: 158781 Information Technology Project Part 2 credits 15
A continuing study of information sciences research, exploring both research methods and project execution. This course provides a practical approach to the principles and practices of academic research, and incorporates a full execution of the latter parts of a project life cycle, including the research practicum, analysis of results and reporting of conclusions.View full course details
Business courses (Choose no more than 30 credits from)
Course code: 152700 Organisation and Management credits 30
A study of the theories of management and their application within organisations.View full course details
Course code: 156700 Essentials of Marketing credits 30
An introduction to the theory and practice of marketing. This course assumes no previous background in marketing.View full course details
Course code: 157701 Health Information Management credits 30
A study of the management of information and information systems relevant to the planning and delivery of high-quality healthcare.View full course details
Fees and scholarships
Fees, student loans and free fees scheme
Your tuition fees may be different depending on the courses you choose. Your exact fees will show once you have chosen your courses.
There will also be some compulsory non-tuition fees and for some courses, there may also be charges for things such as study resources, software, trips and contact workshops.
- Get an estimate of the tuition fees for your qualification
- View a list of non-tuition fees that may be payable
Already know which courses you're going to choose?
You can view fees for the courses that make up your qualification on the course details pages.
Student loans (StudyLink) and Fees Free scheme
You may be eligible for a student loan to help towards paying your fees.
The New Zealand Government offers fees-free tertiary study for eligible domestic students. Find out more about the scheme and your eligibility on the Fees Free website. To use the site's eligibility checking tool, you will need your National Student Number.
Current and returning Massey students can find their National Student Number in the student portal.
This information is for estimation purposes only. Actual fees payable will be finalised on confirmation of enrolment. Unless otherwise stated, all fees shown are quoted in New Zealand dollars and include Goods and Services Tax, if any. Before relying on any information on these pages you should also read the University's Disclaimer Notice.
Careers and job opportunities
A Postgraduate Diploma in Information Sciences gives you the best of theory and practice in information sciences. You will have the ability to run projects in professional practice and it is a stepping stone into a leadership role. It will open up greater opportunities in your career, more quickly.
A 2017 Ministry of Education publication, The post-study earnings and destinations of young domestic graduates, found that, in New Zealand, earnings and employment rates increase with the level of qualification completed.