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Master of Computer and Information Sciences

Auckland University of Technology, New Zealand
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Course Overview

The Master of Computer and Information Sciences is a postgraduate degree that provides students with the skills and knowledge to design, develop, and manage complex computer systems and information systems. The program focuses on advanced topics such as artificial intelligence, machine learning, data science, cybersecurity, and software engineering. Students will learn how to analyze complex systems, identify problems, and develop innovative solutions using a variety of tools and technologies. The program is ideal for students who want to pursue careers in fields such as software development, data analytics, cloud computing, or cybersecurity.

Additional Information

The Master of Computer and Information Sciences is designed for students who have completed an undergraduate degree in computer science or a related field. The program consists of 180 credits, including core and elective courses, and can be completed in 1.5 to 2 years of full-time study. Students will have access to state-of-the-art facilities and equipment, as well as opportunities for internships, research projects, and professional development.

Discover Why Auckland University of Technology is the Perfect Choice for Your Master's Degree in Computer and Information Sciences

Auckland University of Technology is one of the top universities in New Zealand for computer science and information technology programs. The university has a strong reputation for producing graduates who are highly sought after by employers. Students will benefit from the expertise of world-class faculty members, cutting-edge research facilities, and a diverse student body from around the world.

Why You Should Study This Course

Research an area of your interest, advance your undergraduate degree, and explore the latest developments in computer and information sciences with the Master of Computer and Information Sciences.

Research topics range from interdisciplinary research to specialised topics within 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 labs for their research. Successful graduates are well prepared for PhD study.

General Eligibility

Must have completed the Bachelor of Computer and Information Sciences or an equivalent qualification with a B grade average or higher in level 7 courses.

Part Time Work Details

20 Hours of Work permit weekly for international students.

What You'll Study

1 Course Modules

The Master of Computer and Information Sciences enables you to focus on one of the discipline clusters below, or combine courses 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.

Complete the following course:

  • STEM Research Methods

And choose one of the following options:

Option 1:

  • Elective courses

  • Thesis

Option 2:

  • Elective courses

  • Thesis

Option 3:

  • Elective courses

  • Research Project

Elective courses:

  • Neuroinformatics

  • Software Architecture

  • Data Mining and Machine Learning

  • Data Warehousing and Big Data

  • Next Generation Networking

  • Artificial Intelligence

  • Text Mining

  • Nature Inspired Computing

  • Internet of Things and Applications

  • Intelligent Surveillance

  • Ubiquitous Computing

  • Video and Image Processing

  • Information Security

  • Human Computer Interaction

  • Readings*

  • Special Topic A*

  • Special Topic B*

  • Mobile System Development

  • Deep Learning

  • Applied Blockchains and Cryptocurrencies

  • Cloud Computing

  • Software Development Methods

  • Information Technology Strategy and Policy

Language Requirement

  • IELTS6.0
  • TOEFL78
  • PTE58
  • Duolingo79

IELTS (Academic) 6.5 overall with all bands 6.0 or higher; or equivalent

Ready to get started?

For any enquiries or further details, please don't hesitate to contact us. Let's take the next step in your academic journey together.

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