Auckland University of Technology is a public institution in Auckland, New Zealand, established in 2000. Auckland University of Technology owns a powerful research focus on various disciplines, including business, design, engineering, health, hospitality, law, science, social sciences, and technology.
As New Zealand-s leading modern university, Auckland University of Technology creates global research impact and establishes more than 60 research centers and institutes furnishing leading research ranging from artificial intelligence and robotics to ecology and public health.
Address: 55 Wellesley Street East, Auckland CBD, Auckland 1010, New Zealand
Phone: +64 9-921 9999
Email: admission@auckland.ac.nz.
Website: https://www.aut.ac.nz/
• The Bachelor of Science (BSc) majoring in Computer Science
• The Bachelor of Advanced Science (Honours) (BAdvSci(Hons)) specializing in Computer science
• Postgraduate Diploma in Science (PGDipSci) in Computer Science
• Master of Science (MSc) in Computer Science
• Master of Cyber Security and Digital Forensics
• Doctoral study in Computer Science
Auckland University of Technology in Auckland-New Zealand is conducting extensive research in the field of computer science to understand computing technologies and their implementations better.
• Data Science
• Service and Cloud Computing
• High Performance Computing
• Robotics & Vision
• Networking and Security
• Software Engineering
• Ubiquitous and Web Computing
• Artificial Intelligence
• Wireless and Intelligent Systems Engineering
Data Science-
• Real-time Big Data Management (RBDM)
• Stream Mining & Analytics (SMA)
• Text Processing & Machine Learning (TPML)
• Simulation & Modelling
• Information Visualisation (IV)
Service and Cloud Computing -
• Decentralized and distributed systems
• Blockchains and cryptocurrencies
• Machine learning and Artificial Intelligence
Robotics & Vision -
• Robotics systems
• Computer vision
• Natural language processing
• Fruit measurement and classifications
• Intelligent systems
Networking and Security -
• Network protocol design and modeling
• Network and information security
• Mobile and ubiquitous services
• Disaster communication networks
Ubiquitous and Web Computing -
• Recommender Systems and Graph Neural Networks
• Sensor-based Human Activity Recognition
• Social Intelligence
Wireless and Intelligent Systems Engineering -
• Radio and Sensor Engineering
• Machine Intelligence and Control
• Communications and Networking
• Data Science Research Centre (DSRC)
• Service and Cloud Computing Research Lab (SCCRL)
• Mathematics, Modelling and Analytics Research Centre (MMARC)
• High Performance Computing Research Laboratory
• Institute of Robotics & Vision (IoRV)
• Networking and Security Research Centre (NSRC)
• Software Engineering Research Centre (SERC)
• Ubiquitous and Web Computing (UbiWeb)
• Wireless and Intelligent Systems Engineering (WISE)
• Centre for Kode Technology Innovation
• Knowledge, Engineering, and Discovery Research Innovation (KEDRI)
• BioDesign Lab
• Institute of Biomedical Technologies (IBTEC)
• Centre of Future Power and Energy Research (CFPER)
• Thermodynamic Engineering Research and Applications Lab (THERA)
• Smart Systems, Materials, and Manufacturing Research Centre (S2M2)
• Vice-Chancellor-s Doctoral Scholarships
• University of Auckland Doctoral Scholarships
• University of Auckland Research Masters Scholarships
• University of Auckland Postgraduate Honours/PG Diploma Scholarships
• University of Auckland Pacific Postgraduate Scholarships
• University of Auckland Māori Postgraduate Scholarships
Funded projects in computer science at Auckland University of Technology - Auckland - New Zealand
• Automated Analysis of User Interaction for Software Personalization
• Automated Monitoring and Analysis of Virtual Network Traffic
• Automated Personalised Healthcare Planning
• Automated Reasoning for Knowledge Representation
• Wearable Technologies for Human Activity Recognition
• Ph.D. computer science admission requirements in Auckland University of Technology - Auckland - New Zealand
• A completed undergraduate degree in computer science or relevant fields from an authorized university, with an overall grade of B+ or above
• A strong academic background in mathematics, including calculus, linear algebra, and discrete mathematics
• Good knowledge of programming languages
• Proof of research experience, such as publications or research projects
• A statement of research interests and potential supervisors
• A portfolio of academic transcripts and related documents
• Letters of recommendation from two referees,
• Submission of all required documents, such as academic transcripts, letters of recommendation, and statements of research interests
