Postgraduate Diploma in Information Sciences (PGDipInfSc)

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Pathway to masters

A postgraduate diploma is the stepping stone to a research-based degree such as a masters

What is it like?

The Postgraduate Diploma in Information Sciences is a taught programme, able to be completed in one year full-time. It is a stepping stone to a masters qualification. If you complete the postgraduate diploma with good grades, you may proceed to the Master of Information Sciences (which includes a professional practice project).

Applying complex systems

Undergraduate programmes focus on your technical knowledge such as programming skills. When you undertake postgraduate study, you will learn more about the application of the more complicated processes you can apply this knowledge to, such as developing complex and dependent operating and recognition systems.

What will you learn?

During your study you will 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 will gain skills in evaluating policies and processes used in the design, construction, testing and maintenance of advanced technological solutions in order to make informed strategic decisions.

Flexibility of focus

The Postgraduate Diploma in Information Sciences gives you the option to focus and major in computer science (including topics such as artificial intelligence and graphics) or information technology (including topics such as mobile systems and security). Or you have the freedom to graduate without a major and mix and match the topics that interest you the most.

Topics you will study include

  • Massey Auckland: artificial intelligence, compilers, computer graphics, computer vision, parallel and distributed computing, operating systems and advanced computer systems.
  • Massey Palmerston North: empirical software engineering, program verification, human-computer interaction, technology - support learning, artificial intelligence, smart environment, machine learning, scientific computing, health informatics and graph algorithms.

Postgraduate study is hard work but hugely rewarding and empowering. The Postgraduate Diploma in Information Sciences will push you to produce your best creative, strategic and theoretical ideas. The workload replicates the high-pressure environment of senior workplace roles.

Not just more of the same

Postgraduate study is not just ‘more of the same’ undergraduate study. Our experts are there to guide but if you have come from undergraduate study, you will find that postgraduate study demands more in-depth and independent study. It takes you to a new level in knowledge and expertise especially in planning and undertaking research.

A good fit if you:

  • Have an undergraduate information sciences or equivalent degree
  • Are interested in postgraduate chemistry study, but do not have a research background
  • Would like to undertake a predominantly taught postgraduate programme

Careers

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.

Earn more

A Ministry of Education report ‘Moving on up: What young people earn after their tertiary education’ found that in New Zealand:

  • Earnings and employment rates increase with the level of qualification completed
  • Good careers are associated with better health, wellbeing and more satisfying lives

World-leading lecturers and supervisors

Massey’s information sciences staff are internationally-renowned for their research and teaching and learning methods. You will be working with internationally-recognised science practitioners, like:

Dr Andre Barczak

Dr Barczak is a senior lecturer in computer science at Massey. A computer scientist and mechanical engineer, his current research is in the areas of computer vision and machine learning, which has a huge range of applications. Recent projects include: - Omnidirectional Vision Systems, where a camera with a special mirror gets a 360 degrees view of the world. Real-time processing algorithms get projections out of the omnidirectional image for further processing.

  • Invariant Features for Object Detection. Detecting visual objects in a video stream is not an easy task. The research found ways to improve detection when objects are rotated or scaled, as well as when illumination changes, by using modified algorithms to compute features from the objects, and
  • Automatic Fruit Grading - where machine learning algorithms were used to automatically configure fruit grading machines to a certain number of classes (related to the quality of the fruits).
Join the engine of the new New Zealand
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