The University of Auckland is the largest institution and the highest-ranked in New Zealand. The University of Auckland, situated in Auckland, New Zealand, offers students a broad range of courses and programs worldwide.
The University of Auckland is popular for its research excellence, especially in health, technology and the social sciences. The University of Auckland has a powerful research focus and is a hub for numerous world-renowned researchers and academics.
The University of Auckland is affiliated with the Association of Commonwealth Universities and Pacific Rim Universities. The University of Auckland is obligated to impart a world-class research environment and consistently strives to implement new and innovative ways to assist and encourage research. The University of Auckland conducts world-leading research to create globally transformative impacts.
Address: Auckland CBD, Auckland 1010, New Zealand
Phone: +64 9-373 7999
Email: admission@auckland.ac.nz
Website: https://www.auckland.ac.nz/en.html
• Bachelor of Engineering with Honours in Computer Engineering
• Bachelor of Engineering with Honours in Software Engineering
• Bachelor of Science in Computer Science
• Master of Engineering in Computer Systems Engineering
• Master of Science in Computer Science
• Doctor of Philosophy in Computer Science
• Doctor of Philosophy in Software Engineering
The University of Auckland is renowned for its cutting-edge computer science research focusing on artificial intelligence and machine learning.
• Artificial intelligence and machine learning
• Computational biology
• Computer networks; internet and mobile computing
• Computer vision and computer graphics
• Computing education
• Cybersecurity
• Human-computer interaction
• Parallel & distributed computing
• Software engineering student
• Software engineering
• Theoretical computer science
Artificial intelligence and machine learning:
• Heuristic search, or multi-agent systems
• Natural language processing
• Data streams
• Geospatial data mining
• Bayesian and reinforcement learning
• Ensembles
• Recommender systems
• Matrix factorization
• equation discovery
• Fairness in machine learning
• Multi-label classification
• Adversarial learning and privacy
Computational biology:
• Genomic sequence analysis
• Evolution and spread of infectious diseases
• Theoretical aspects of phylogenetics and networks
Computer vision and computer graphics;
• 3D modeling
• Serious games for education and health interventions
• Innovative AR/VR solutions for training, education, skill development
• Scientific and biomedical visualization
Cybersecurity;
• Blockchain and IoT security
• Privacy-preserving systems
• Security extensions of android
• Steganographic protocols
• Encrypted search
• Secure cloud services
• Privacy patterns
• Access control systems
• Network security
• Software obfuscation
• Online Privacy
• Consent Management
• Autonomic middleware
• Digital forensics
Human-computer interaction;
• Multitasking
• Affective interaction
• Gesture interaction
• Brain interfaces
• Eye-gaze interaction
• Games
• Augmented and virtual reality
Theoretical computer science;
• Automata theory
• Computational complexity
• Computability and randomness
• Design and analysis of algorithms
• Quantum information theory and unconventional models of computation
• The Human Interface Technology Lab New Zealand (HIT Lab NZ)
• The Centre for Artificial Intelligence and Public Policy (AIPP)
• The Centre for eResearch
• The Centre for Software Excellence
• The Centre for Computational Thinking and Design
• The Centre for Bioinformatics
• The Centre for Advanced Networking Systems
• The Centre for Machine Learning
• The Augmented Human Lab
• The Robotics and Autonomous Systems Lab
• The Vision and Visualisation Lab
• The Knowledge Engineering Lab
• The Security and Privacy Lab
• The Centre for Intelligent Robotics and Autonomous Systems
• The Computer Vision and Virtual Reality Lab
• The University of Auckland Doctoral Scholarship
• The University of Auckland Postgraduate Research Scholarship
• University of Auckland Doctoral Tuition Scholarship
• University of Auckland International Doctoral Scholarship
• University of Auckland Top Achiever
• University of Auckland International Graduate Research Scholarship
• University of Auckland Doctoral Research Scholarship
• University of Auckland International Postgraduate Scholarship
• University of Auckland Graduate Merit Award
Funded projects in computer science at the University of Auckland - New Zealand
• Multi-Modal Artificial Intelligence for Autonomous Driving
• Robotic Vision for Autonomous Mobile Robots
• Automated Anomaly Detection in IoT Data Streams
• Reinforcement Learning for Autonomous Agents
• Automated Software Testing for Mobile Applications
Admission Requirements for Ph.D. computer science study at the University of Auckland - New Zealand;
• A bachelor-s degree in computer science or a related field from an authorized institution with a minimum grade point average (GPA) of at least 7.0
• Proof of proficiency in the English language, if English is not the applicant-s first language, by attaching an IELTS or TOEFL test score
• Three letters of reference
• A research proposal
