Graduate Diploma in Information Sciences

Massey University

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. Massey is one of the few universities in New Zealand where your information sciences qualification covers all 5 disciplines of computer science, data science, information technology, information systems and software engineering. Many graduates have found it really useful to complete the Graduate Diploma ''with no endorsement''. This means that you can select the courses you are most interested in from across the range of subjects. You are strongly encouraged to select ''no endorsement''. Youll learn a broad spectrum of skills from business management through to software development. So youll emerge from your studies at Massey with a well-rounded understanding of the whole industry. Youll gain the applied skills that youll need to become an excellent ICT professional. In demand IT employers are constantly seeking skilled staff. High demand areas include software development, software testing, business analysis, network security, project management and datadatabase. What will I learn You will gain skills in the analysis, design and deployment of complex information technologies software design and development the use of professional software tools, and the administrative and organisational aspects of IT how to work in a team in the IT environment topics such as computer security, internet features, user interface design and more. Further study Successful completion of the Graduate Diploma and a suitable GPA enables you to move on to advanced study in the Postgraduate Diploma in Information Sciences 1 year of 120 credits in taught courses or the Master of Information Sciences 180 credits including 120 credits of taught courses and a major professional project.

School of Natural and Computational Sciences