Without Specialisation – Graduate Diploma in Information Sciences

A sought-after qualification, both in New Zealand, and internationally.

Where you can study

Auckland campus
Distance and online
Manawatū campus (Palmerston North)

International students

International students are not New Zealand citizens or residents.

Definition of New Zealand citizens and residents

Open to international students on campus in New Zealand, or studying on-line out

Specialise in Without Specialisation for your Graduate Diploma in Information Sciences at Massey

The Graduate Diploma in Information Sciences (GradDipInfSc) is intended mainly for graduates in an unrelated area who are seeking to retrain or upskill in the information sciences. Many of the students are studying via distance (online study) because they are working full time.

Planning information

This is a guide. You are advised to check the regulations for the latest course information.

The GradDipInfSc requires 120 credits. This usually consists of eight courses where five of the courses are at 300-level and three of the courses are at 200-level. 

The GradDipInfSc can be completed in one year as a full-time student or over several years as a part-time student. Part-time study is recommended as it gives you time to acquire the pre-requisites and is a good idea if you are working. Most courses are available via distance (online study).

Pre-requisites

The GradDipInfSc requires you to enrol in 200-level and 300-level courses. You need to make sure you have the correct pre-requisites for the courses you are interested in. Due to the fact that you already have a degree, some of the pre-requisites can be waived. Some general guidelines are:

  • any course in the Information Systems schedule – pre-requisites can be waived
  • any 200-level course in the Information Technology schedule – pre-requisites can be waived
  • some 300-level courses in the Information Technology schedule – pre-requisites can be waived
  • any 200-level or 300-level course in Computer Science or Data Science – the pre-requisites are NOT waived due to the need for programming knowledge.

If you are aiming for a career in software development you will need to take some computer science courses. In order to enrol in 200-level Computer Science courses you need to complete 159101 Applied Programming or 159171 Computational Thinking and Programming I. These courses are NOT part of your Graduate Diploma (because they are 100-level).

You are strongly advised to discuss your study plans prior to course selection. Contact us through the Get advice button on this page.

Official regulations

To understand what you need to study and must complete to graduate read the official rules and regulations for this qualification.

You should read these together with all other relevant Statutes and Regulations of the University including the General Regulations for Undergraduate Degrees, Undergraduate Diplomas, Undergraduate Certificates, Graduate Diplomas and Graduate Certificates.

Returning students

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 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.

Courses you can enrol in

Course planning key

Prerequisites
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.
Corequisites
Courses that must be completed at the same time as another course are known as corequisite courses.
Restrictions
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.

Schedule for the Graduate Diploma in Information Sciences without endorsement

Choose at least 105 credits from
Course code: 157216 Management, Analytics and Decision Making 15 credits

Introduction to techniques and issues involved in using data to support organisational decision making.

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Course code: 157240 Social Media Networks for Business 15 credits

An examination of current issues in the rapidly developing area of social media. A socio-technical approach is adopted to examine how social media networks are being used in business processes.

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Course code: 157241 Technology Trends for Organisations 15 credits

A comprehensive study of major technology trends and organisational contexts within which information systems are developed and used from user, manager, organisational and societal perspectives.

Prerequisites: 157150 or 157151 or 115107 or 1581xx or 1591xx Restrictions: 157242

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Course code: 157340 Organisational Knowledge Management 15 credits

An examination of the role of information systems in creating business value in a knowledge economy.

Prerequisites: 1142xx or 1522xx or 1572xx or 1582xx or 1592xx

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Course code: 157350 Technology Governance and Risk Management 15 credits

Designing and managing technology-based solutions for realising organisational strategy.

Restrictions: 57301, 157373, 157341

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Course code: 157394 Managing Technology Projects and Programmes 15 credits

Agile project management and design thinking as methodologies for implementing technology projects and programmes.

Prerequisites: 1142xx or 1522xx or 1572xx or 1582xx or 1592xx

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Course code: 158212 Application Software Development 15 credits

A study of the rudiments of structured and object-oriented software development methods and techniques. Students will utilise a modern integrated development environment to gain practical skills.

Prerequisites: 1581xx or 1591xx

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Course code: 158225 Systems Analysis and Modelling 15 credits

A study of methods used to capture, analyse and model system requirements. Students will acquire practical skills through case study work utilising techniques and software tools used by industry.

Prerequisites: 157150 or 157151 or 115107 or 1581xx or 1591xx Restrictions: 158254

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Course code: 158235 Networks, Security and Privacy 15 credits

A study of the basic principles of digital communications, Internet technologies, communications software, local area network design, client-server system design, middleware and available wide-area network services from the viewpoint of a software engineer/designer developing networked information systems.

Prerequisites: 1581xx or 1591xx or 157150 or 157151 or 115107

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Course code: 158244 Software Quality Assurance and Testing 15 credits

A discussion of testing concepts and techniques that can be applied to all software projects. This course explores a selection of topics relevant to the design and implementation of test plans in software including web-based applications. The course also looks at activity design to ensure that the project conforms to stakeholder expectations. This course will be of assistance to students who would like to become a Certified Tester through International Software Testing Qualifications Board (ISQTB) foundation level exams.

Prerequisites: One of 1571xx or 1581xx or 1591xx

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Course code: 158256 Web Application Design 15 credits

The design of Web sites using modern mark-up, styling and scripting languages for the Web focusing on the client-side Web design as well as Web user-interface design.

Prerequisites: 158120 or 159171 Restrictions: 158258

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Course code: 158258 Web Development 15 credits

An introduction to web-based application development. Students will gain practical experience in the use of modern techniques relevant to the design and development of web-based systems.

Prerequisites: 1581xx or 1591xx Restrictions: 158256

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Course code: 158326 Software Construction 15 credits

An advanced study of methods used to model, design, build and test robust software artefacts. The course provides an in-depth study of multiple techniques to support software design and implementation. It takes a practical approach using current methods and tools.

Prerequisites: 158256 or 158258 or 159234 or 159270

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Course code: 158333 Applied Machine Learning and Big Data Processing 15 credits

An in-depth exploration of methods for developing intuition and insights about data that enables effective problem formulation and its solution through data-driven methods. A broad range of advanced machine learning and data mining algorithms will be used to build predictive models from real-world contexts. A particular emphasis will be on developing data-products, rapid prototyping and effectively communicating their value through visual storytelling and interpretable summaries. Practical skills for processing large datasets will be taught.

Prerequisites: 158222

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Course code: 158335 The Internet of Things and Cloud Computing 15 credits

This course involves participants in solving problems whose solutions require active, sensing and connected “things” augmented with Cloud Computing capabilities. Students will design and implement things that participate in the Internet of Things (IoT) and Cloud Computing environments.

Prerequisites: 158235 and (158212, 158256 or 158258)

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Course code: 158337 Database Development 15 credits

A study of enterprise data models, including how data storage and retrieval methods have changed over time. Modern techniques for handling relational and non-relational data and their implications in transactional and analytical processing are evaluated. Students will gain practical skills in designing, creating and querying databases using database management systems.

Prerequisites: One of 1582xx or 1592xx Restrictions: 158247

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Course code: 158345 Professionalism in the Information Sciences 15 credits

This course provides an advanced study of social and professional issues in the information sciences. It will involve the exploration, through appropriate resources, of issues relevant to practitioners, including ethics, legal issues, communication, teamwork and professional contexts.

Prerequisites: 1572xx or 1582xx or 1592xx

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Course code: 158359 User Experience Design 15 credits

The course will move from conceptual analysis to the design, prototyping and implementation and evaluation of user interfaces. It will emphasise development processes that result in interfaces that provide a superior user experience. Examples of real-life interfaces, from sources such as desktop, multimedia, web, novel, and mobile technologies will be used. There will be a significant practical work component.

Prerequisites: 1572xx or 1582xx or 1592xx

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Course code: 159201 Algorithms and Data Structures 15 credits

An introduction to the analysis and implementation of algorithms and data structures including linear data structures, trees, graphs, hash tables, searching algorithms, sorting algorithms, optimization problems and complexity analysis. The course includes a significant practical component covering the implementation and application of important data structures and algorithms.

Prerequisites: 159102 Restrictions: 159271

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Course code: 159202 Declarative Programming 15 credits

This course continues the study of computer programming with an introduction to declarative programming languages. The principles of the declarative programming paradigm are explored through practical examples. Key topics include recursion, list processing, lazy evaluation and higher-order functions.

Prerequisites: 159102 Restrictions: 159272

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Course code: 159234 Object-Oriented Programming 15 credits

An introduction to the principles of object-oriented programming. It covers both object-oriented programming techniques and their application to program design including classes, objects and objects lifecycle, abstraction, encapsulation, inheritance, polymorphism and generic programming, as well as some advanced programming features. The course includes a significant practical component involving designing and implementing object-oriented programs in Java.

Prerequisites: 159102

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Course code: 159235 Programming for Computer Graphics 15 credits

An introduction to the programming principles, methods and techniques of computer graphics. The course covers general graphics methods and techniques, graphics transformations, drawing algorithms, 3D rendering and animation. These are implemented using basic approaches as well as modern shader-based pipelines.

Prerequisites: 159102 Restrictions: 159360

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Course code: 159236 Embedded Programming 15 credits

A study of embedded programming using low-level programming languages. The course covers the hardware architecture of an embedded system and the techniques needed to write programs for simple peripherals such as switches, LEDs, timers and accelerometers.

Prerequisites: 159102 Restrictions: 159233, 159270

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Course code: 159251 Software Engineering Design and Construction 15 credits

A study of techniques, methods and tools used to design and construct high-quality software systems.

Prerequisites: 159234

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Course code: 159261 Games Programming 15 credits

An exploration of a range of essential topics for implementing computer games including fundamental computer graphics, games software architecture and game physics systems. The course contains a significant practical computer lab component where students are guided through the games development process.

Prerequisites: 159101

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Course code: 159270 Hardware-Oriented Computing 15 credits

A study of programming in a hardware-oriented language such as C and the construction of object-oriented software solutions using C++. The course has a practical focus based on concepts such as pointers, memory allocation, objects, classes, operator overloading, inheritance, and polymorphism. It addresses techniques such as structuring programs, software testing and debugging techniques, and the use of microcontrollers.

Prerequisites: 159100 or 159101 or 159172 Restrictions: 159236

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Course code: 159271 Computational Thinking for Problem Solving 15 credits

An in-depth study of data structures and the design and analysis of algorithms to solve real-world problems. The course has a practical focus based on the correct implementation of algorithms in a high level programming language. An introduction to computability, tractability and strategies to address issues related to intractability.

Prerequisites: 159102 or 159172 Restrictions: 159201

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Course code: 159272 Programming Language Paradigms 15 credits

An introduction to different programming paradigms with a focus on the functional paradigm – lists, recursion, lazy-evaluation, higher-order functions, currying and lambda expressions. The course includes a significant practical component designing and implementing functional solutions to problems using both pure and multi-paradigm languages.

Prerequisites: 159102 Restrictions: 159202

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Course code: 159302 Artificial Intelligence 15 credits

An advanced study of the principles and techniques used in developing Artificial Intelligence applications. The course includes the implementation and application of a range of AI methods including state-space representation and search, knowledge representation, constraint satisfaction, game playing, logic systems and machine learning.

Prerequisites: 159201 or 159234 Restrictions: 159372

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Course code: 159352 Advanced Web Development 15 credits

A study of the programming and scripting languages, frameworks and tools used to develop web and distributed applications with a consideration of the security issues involved in these technologies.

Prerequisites: (159100 or 159101 or 159171) and (158256 or 158258) Restrictions: 159339

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Course code: 159355 Concurrent Systems 15 credits

This course builds on concurrency theory giving practical experience in all aspects of concurrent programming, including issues of synchronisation. Operating systems, structures and techniques are presented as examples of complex, concurrent programs.

Prerequisites: 159272 Restrictions: 159335, 159341, 159342

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Course code: 159360 Programming for Computer Graphics 15 credits

Generating graphical images and animations involves a variety of concepts and tools, starting from basic modeling and algorithms to advanced tools for graphics programming. The course covers theory and underlying algorithms as well as practical programming exercises including games using 3D graphics.

Prerequisites: (159270, 159271 or 159272) and (160101, 160102, 160103 or 160105) Restrictions: 159235

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Course code: 159361 Advanced Games Programming 15 credits

This course continues the study of games programming by exploring the development of computer games using a modern game engine. The development of games and specific game systems within a modern architecture are covered with a significant practical component.

Prerequisites: 159235, 159261

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Course code: 159372 Intelligent Machines 15 credits

This course introduces fundamental techniques to create intelligent machines, including formalisms for representing knowledge and reasoning about it, methods for searching and planning, and approaches to machine learning.

Prerequisites: 159271 or 159272 Restrictions: 159302

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Course code: 160211 Linear Algebra 15 credits

Vector spaces, linear transformation, matrix representation, inner product spaces, isometries, least squares, generalised inverse, eigen theory, quadratic forms, norms, numerical methods.

Prerequisites: 160102, 160112, 160133 or 228172

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Course code: 161323 Multivariate Analysis 15 credits

This course teaches methods to understand patterns and structures inherent in data sets containing many variables. The fundamentals of data visualisation, clustering, and dimension reduction with examples taken from a range of applications.

Prerequisites: One of 161222, 161220, 161221, 161250, 161251, 233214 Restrictions: 161762

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Course code: 161324 Data Mining 15 credits

A practical approach to data mining with large volumes of complex data; prepare, cleanse and visualise data; supervised and unsupervised modelling; ensemble and bundling techniques; use of leading software tools.

Prerequisites: One of 161122, 161220, 161221, 161250 or 161251 Restrictions: 161223 and 161777

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Electives

Choose no more than 15 credits from
Course code: 158383 Information Technology Project 15 credits

Based on an initial project specification, students work individually or in groups on carrying out an information technology project. This includes understanding the project context, selecting appropriate methods and approaches, constructing the project artifacts, and reporting on project outcomes.

Prerequisites: At least two (2) 1582xx courses

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Course code: 159333 Computer Science Project 15 credits

A capstone computer science project. Students will develop a piece of software or conduct a computer science research project under the supervision of an academic staff member. Projects will be completed individually or as part of a team depending on staff availability. Students must produce a written technical report and give an oral presentation demonstrating their work.

Prerequisites: Two (2) of 158222, 1592xx

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Course code: 159356 Software Engineering Capstone Project 15 credits

Management of the software engineering process. A group project will form a significant component of this course.

Prerequisites: 159251 and 159352

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Course code: 161220 Data Analysis 15 credits

Understanding, visualising and analysing data in a practical context using R/RStudio. Topics are selected from: data collection including experimental designs, observational studies, and surveys, data cleaning and preparation, exploratory analysis, visualisation of multivariate and time series data, regression, analysis of variance and covariance, autoregressive models and categorical data modelling.

Prerequisites: 161101, 161111, 161120, 161122 or 161130 Restrictions: 161250

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Course code: 161221 Applied Linear Models 15 credits

Statistical linear models for application in science, business and social science. Topics include simple and multiple regression; linear models with categorical explanatory variables; model diagnostics; inference for linear models; polynomial regression; models for time dependence; methods for variable selection; and weighted regression.

Prerequisites: (One of (161122 or 161220 or 233214) and one of (160101 or 160102 or 160105)) or one of 161101, 161120 or 161130 Restrictions: 161251

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Course code: 161250 Data Analysis 15 credits

Biology, psychology, and other sciences require statistical methods for analysing and visualising data. This course is designed to be accessible to students from any discipline, first building a deeper understanding of fundamental statistical concepts, then teaching a range of practical approaches for exploring statistical relationships, testing hypotheses, evaluating models, and presenting conclusions.

Prerequisites: 1611xx Restrictions: 161220

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Entry requirements

Admission to Massey

All students must meet university entrance requirements to be admitted to the University.

Specific requirements

To enter the Graduate Diploma in Information Sciences you will have been awarded or qualified for a university degree or equivalent qualification.

You will need to provide verified copies of all academic transcripts for studies taken at all universities other than Massey University.

English language requirements

To study this qualification you must meet Massey University's English language standards.

English language skills

If you need help with your English language skills before you start university, see our English for Academic Purposes (EAP) courses.

Can't meet the entry requirements?

If you need to do a course before you start your qualification, there may be options for you in Summer School.

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.

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.

Fees disclaimer

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.

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