The Master of Computer and Information Sciences is for those looking to advance their undergraduate qualification, improve their career opportunities, or explore a specialist area of interest. You develop skills and knowledge that can be applied in practice, in industry and in academic research, and complete a significant research project in an area of your interest. You will also have the capability, credibility and judgement to manage and lead teams of information and communication technology professionals.
Research is at the heart of this programme. Research topics range from interdisciplinary research to specialised topics within a number of research areas, including data mining, knowledge engineering, information systems, robotics, bioinformatics, health informatics, mobile applications, radio frequency identification (RFID), artificial intelligence, information security, computational astronomy, geocomputation or networking. Many of our students work closely with one of our research institutes or laboratories for their research project. This gives them access to specialist tools and facilities, and the opportunity to work alongside world-class research experts.
Successful graduates will be well prepared for further studies at doctoral level.
Programme Code: AK1329
Duration: 1 1/2 years full-time / 3 years part-time
Venue: City Campus
Start date: 26 February and 16 July 2018
AUT encourages early application. There are limited places available. Late applications will be accepted if the programme is not full. Applicants will normally be selected on the basis of their level of academic achievement and may be required to attend a selection interview.
- Chief information officer/Chief technology officer
- Database architect
- E-Commerce solutions architect
- General manager IT
- Integration architect
- IT director/manager
- Programme manager
- Project director/manager/leader
- Senior technical consultant
- Software developer/architect
In order to be admitted to the Master of Computer and Information Sciences an applicant must have completed the Bachelor of Computer and Information Sciences or equivalent with a B grade average or higher in the papers at level 7 or above.
Guidelines to entry
The Master of Computer and Information Sciences allows you to focus your studies on one of the discipline clusters below, or combine papers from different clusters.
Discipline clusters include:
- Artificial Intelligence and Knowledge Engineering – including bioinformatics, health informatics, neuroinformatics, data mining and knowledge engineering, artificial intelligence, machine learning, nature-inspired computing and geocomputation
- Information Systems and Technology – including data warehousing and big data, IT strategy and policy, ICT issues in the SME sector, eSystems design and development, visual information processing, information visualisation, human computer interaction
- Software Systems Engineering – including usage centred design, software requirements engineering, software architecture, software development methods
You will take the core paper Research Methods, and will complete either a research project or thesis under the guidance of an experienced academic supervisor. Your project or thesis may involve the creation of a software artefact.
Suggested and current thesis topics
COMP811 Research Methods (15 points)
AND ONE OF THE FOLLOWING OPTIONS:
Elective Papers (45 points)
COMP989 Thesis (120 points)
Elective Papers (75 points)
COMP988 Thesis (90 points)
Elective Papers (105 points)
COMP971 Research Project (60 points)
Enrolment in a thesis is subject to achieving at least a B- average in course work papers including a pass in Research Methods I and approval of research proposal.
Enrolment in papers is subject to meeting all requirements and availability of papers.
COMP800 Neuroinformatics (15 points)
COMP801 3D Technologies: Displays to Printing (15 points)
COMP805 Health Informatics and the Health Sector (15 points)
COMP806 Software Architecture (15 points)
COMP809 Data Mining and Machine Learning (15 points)
COMP810 Data Warehousing and Big Data (15 points)
COMP812 Next Generation Networking (15 points)
COMP813 Artificial Intelligence (15 points)
COMP814 Text Mining (15 points)
COMP815 Nature Inspired Computing (15 points)*
COMP816 Autoidentification (15 points)
COMP817 Geocomputation (15 points)*
COMP818 Intelligent Surveillance (15 points)
COMP819 Ubiquitous Computing (15 points)
COMP820 Video and Image Processing (15 points)
COMP821 Information Security (15 points)
COMP822 Human Computer Interaction (15 points)
COMP823 Readings (30 points)*
COMP824 Special Topic A (15 points)*
COMP825 Special Topic B (15 points)*
COMP826 Mobile System Development (15 points)
COMP835 Server System Development (15 points)
COMP837 ICT Issues in the SME Sector (15 points)
INFS800 Service Relationship Management (15 points)*
INFS803 Cloud Computing (15 points)
INFS804 eSystems Design and Development (15 points)
INFS809 Software Development Methods (15 points)
INFS810 Software Requirements Engineering (15 points)
INFS811 Usage Centred Design (15 points)
INFS812 Bioinformatics (15 points)
INFS813 Information Technology Strategy and Policy (15 points)
PHIL800 Philosophy of Computing Technology (15 points)
*Enrolment subject to approval by the Programme LeaderAlternatively, please contact the Programme Administrator for more programme information
Master of Computer and Information Sciences
Click here to view programme structure and paper outlines.
Additional course information can also be found here.