Computing Unitec Institute of Technology

Overview

The Computing programme at Unitec Institute of Technology is designed for ICT professionals seeking to advance their technical expertise through high-level research and specialist training. This Master of Applied Technologies degree provides a rigorous framework for solving complex problems across various digital disciplines.

Students can tailor their learning journey by choosing from three distinct specialisations: software development, cybersecurity and networking, or data analytics and intelligence. The curriculum is highly flexible, allowing for an interdisciplinary approach that aligns with specific career aspirations and industry requirements.

The programme offers two distinct pathways for completion to suit different research interests.

Why Computing at Unitec Institute of Technology?

This programme features a blended learning model that combines online study, self-directed research, and weekend on-campus classes. This structure is specifically designed to support ICT professionals who wish to maintain their employment while pursuing postgraduate academic advancement.

Students benefit from state-of-the-art facilities, including dedicated on-campus computer laboratories accessible seven days a week. These resources allow for the practical application of theoretical concepts in a controlled, professional environment using modern industry tools.

Instruction is delivered by highly qualified IT practitioners and experts who provide mentorship throughout the research process. The institute's strong focus on applied learning ensures that research topics remain relevant to current industry challenges and technological advancements.

Tuition Fee Breakdown

• International fee: NZD 30415 per year
• National fee: NZD 8700 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

Modules may include:

• Research Methods in Applied Technologies
• Applied Project
• Applied Research Project
• Thesis
• Data Analytics and Intelligence
• Data Warehousing and Big Data
• Mobile Security
• Mobile and Wireless Communications
• Cloud Computing
• Advanced Applications of Cyber Security in Cloud Computing
• Machine Learning
• Internet of Things
• Advanced Web Development

Careers with Computing

Graduates are prepared for senior roles such as artificial intelligence engineers, cybersecurity engineers, and data scientists. The programme also equips individuals for positions as machine learning engineers, network engineers, and software programmers across various global industries.

Additional career pathways include roles as business analysts, IT advisers, and project managers. The advanced analytical and strategic planning skills gained during the course allow graduates to lead technology-based projects and manage complex digital infrastructures effectively.