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Master of Computer and Information Sciences Level 9

The Master of Computer and Information Sciences (MCIS) is designed for students who want to advance their expertise in computing, conduct research in emerging technologies, and prepare for senior technical, leadership, or research careers. The programme combines advanced coursework with a substantial research thesis or dissertation under the supervision of experienced academics. Research opportunities span artificial intelligence, machine learning, information security, software architecture, big data, IoT, blockchain, bioinformatics, robotics, health informatics, networking, and more.

Key Reasons to Choose This Programme

  • Gain an internationally recognized Level 9 master's qualification.
  • Study cutting-edge technologies and emerging computing fields.
  • Conduct supervised research in a specialist area of interest.
  • Flexible programme structure with thesis, dissertation, or research project options.
  • Strong preparation for PhD and research careers.
  • Access to AUT's research institutes, laboratories, and industry collaborations.
  • Develop advanced technical, analytical, and research skills. 


Subjects and Topics Offered

Students can choose from a wide range of advanced computing courses.

Artificial Intelligence and Machine Learning

  • Artificial Intelligence
  • Deep Learning
  • Data Mining and Machine Learning
  • Nature Inspired Computing
  • Text Mining

Data Science and Big Data

  • Data Warehousing and Big Data
  • Statistical Programming for Data Science
  • Data Mining and Machine Learning

Cybersecurity

  • Information Security

Cloud Computing and Infrastructure

  • Cloud Computing
  • Advanced Internet of Things and Applications

Software Engineering

  • Software Architecture
  • Mobile System Development
  • Formal Specification Design

Human-Computer Interaction and Emerging Technologies

  • Human Computer Interaction
  • Neuroinformatics
  • Video and Image Processing
  • Applied Blockchains and Cryptocurrencies

Information Systems

  • Information Technology Strategy and Policy


Research Areas and Specialisation Opportunities

The programme allows students to focus their coursework and research in areas such as:

  • Artificial Intelligence
  • Machine Learning
  • Data Science
  • Big Data Analytics
  • Cybersecurity
  • Information Security
  • Software Engineering
  • Software Architecture
  • Internet of Things (IoT)
  • Blockchain Technologies
  • Human-Computer Interaction
  • Networking
  • Health Informatics
  • Bioinformatics
  • Robotics
  • Knowledge Engineering
  • Mobile Applications
  • Geocomputation
  • RFID Technologies


Career Outcomes

Graduates may pursue senior technical, management, and research roles such as:

  • Chief Information Officer (CIO)
  • Chief Technology Officer (CTO)
  • Software Architect
  • Software Developer
  • Database Architect
  • Integration Architect
  • E-Commerce Solutions Architect
  • IT Director
  • IT Manager
  • Programme Manager
  • Project Manager
  • Project Leader
  • Senior Technical Consultant


Latest Updates

  • The Master of Computer and Information Sciences remains a 180-point Level 9 qualification.
  • Current published intakes are July 2026, February 2027, and July 2027.
  • The programme continues to offer advanced topics including Artificial Intelligence, Deep Learning, Big Data, Cloud Computing, Blockchain Technologies, Information Security, IoT, and Data Science.
  • Students can choose between 120-point thesis, 90-point thesis, or dissertation-based pathways depending on academic goals.


Visa Requirements for International Students

International students generally require a New Zealand Student Visa.

Typical requirements include:

  • Offer of Place from AUT
  • Valid passport
  • Proof of tuition fee payment
  • Evidence of sufficient funds for living expenses
  • Medical examinations (if required)
  • Police certificates (if required)
  • Approved health and travel insurance