Master of Software Engineering
Computer Science
A course by
Yoobee College of Creative Innovation
Advance your skills in software engineering, programming, blockchain, data analytics, and cloud security, and complete a research-based capstone project to earn a Level 9 Master of Software Engineering at Yoobee.
In-person study
Face-to-face learning in a physical classroom setting
City Road Campus, Level 4, 3 City Road, Auckland
It will take a total of 45 weeks
Core skills this course teaches
Master advanced software engineering and programming
Develop expertise in programming language syntax, object-oriented principles, and the development, testing, and debugging of software artefacts.
Conduct independent research
Demonstrate advanced research skills, from identifying research questions to designing and delivering a capstone project.
Apply emerging technologies
Gain practical skills in quantum computing, blockchain, cloud security, and machine learning for the modern software profession.
What You're Signing Up For
The Master of Software Engineering at Yoobee is a Level 9, one-year (45 weeks) programme that prepares you to be a creative, adaptive, and industry-ready software specialist. Covering a broad spectrum including quantum computing, blockchain, data analytics, and cloud security, the programme builds both technical and project-based skills through practical labs and a capstone project. Open to domestic and international students, it is developed with industry partnerships and addresses the rapidly-evolving needs of the tech sector.
Course Content
- Professional Software Engineering: Programming languages (C++, Java), object-oriented concepts, design patterns, application architecture, software development and debugging.
- Research Methods: Design thinking, research proposal development, quantitative and qualitative research, ethics approval.
- Quantum Computing: Quantum algorithms, quantum protocols, teleportation, superdense coding, entanglement, coherence.
- Data Analytics: Data sources, modeling, visualization, business intelligence, dashboards, machine learning, prediction models.
- Blockchain and Decentralised Digital Identity: Cryptocurrencies, smart contract programming, cryptography, information security.
- Cloud Security: Cloud ecosystem security principles and solutions.
- Intelligent Transportation Systems: AI and ML for urban/transit systems, transportation network operations, cybersecurity in ITS.
- Capstone Research Project: Industry-based research project synthesising all major course themes.
What you need to know first
What sort of industry will this job lead to
Software Development
Information Technology
Data Science
Cybersecurity
Blockchain
Consultancy
