Auckland University of Technology

What you'll study

This master's offers a combination of advanced coursework and a substantial independent research or applied project component. Students choose from a range of topics such as advanced algorithms, software engineering, cloud and distributed systems, databases and big data, machine learning and artificial intelligence, cybersecurity and network security, human–computer interaction, and information systems design.

• Core topics typically cover research methods for computing, advanced systems design, and professional practice in ICT.
• Electives allow specialisation in areas such as data analytics and visualisation, deep learning, IoT and embedded systems, security engineering, or enterprise software development.
• Research or project component can be taken as a supervised thesis or a substantial industry-linked project. This component develops independent research skills, project management, and domain-specific technical expertise.
• Format is flexible, with a mix of lectures, seminars, labs and supervised research; part-time and distance options may be available depending on the chosen pathway.

Entry requirements

Applicants normally need a recognised bachelor’s degree in computer science, information technology, software engineering, or a closely related discipline. Applicants with strong quantitative and computing experience from other degrees may be considered, but may be required to complete bridging or prerequisite courses to demonstrate foundational knowledge.

• Academic requirement: an undergraduate degree with a good academic record. Specific GPA or grade thresholds are set by the university and assessed at application.
• Technical background: demonstrated competence in programming, data structures, and core computing principles is expected. Relevant work experience can be considered in lieu of formal prerequisites.
• Research pathway: applicants intending to undertake the thesis stream may need to submit a research proposal and demonstrate suitability for supervised research.
• English language: international applicants must demonstrate English proficiency through an approved test or equivalent evidence of prior study in English, in line with AUT’s English language requirements.

Career prospects

Graduates emerge prepared for senior technical and research-oriented roles across public and private sectors. Typical career destinations include software engineer or developer, data scientist and machine learning engineer, systems or cloud architect, cybersecurity analyst, IT consultant, product manager for technical products, and research roles in industry or academia.

This qualification also provides a pathway to PhD study for those who wish to pursue advanced research or academic careers. AUT’s location in Auckland means good access to a vibrant technology sector and opportunities for industry collaboration, internships and applied projects.

Why study at Auckland University of Technology

AUT has a focused computing and information sciences faculty with academic staff actively engaged in applied and theoretical research. The university emphasises industry relevance, offering project and internship opportunities that connect students with local and international employers.

• Practical focus: strong laboratory facilities, industry-linked projects and coursework designed to develop workplace-ready skills.
• Research environment: supervision from research-active staff across a broad range of computing disciplines, supporting thesis and publication outcomes.
• Location and industry links: based in Auckland, with proximity to a large tech ecosystem and frequent collaboration between AUT academics, startups and established companies.
• Flexible study options: multiple delivery modes and pathways to suit students aiming for professional advancement or academic research.