1 Year Master of Software Engineering
Level 9 | 1 year | International Student
180 Credits | Full-time | Auckland City Campus
Be part of the future of data analytics, quantum computing, cloud security and blockchain with our Master’s programme! You will gain advanced knowledge of cutting-edge technologies in the software space and will develop into a creative, adaptive and diverse software specialist.
To remove barriers to learning and to fill skills shortages in tech, we're offering an uncapped 20% tuition scholarship to any international student who enrols in the Master of Software Engineering programme. Please check the scholarship criteria for eligibility below.
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Secure your 20% Scholarship this November intake
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Find out more about Skilled Migrant Category Resident Visa.
Please note:
Dependent Child's domestic student benefit is based on partner's work visa and only applies to primary and secondary study
New 6-point Skilled Migration policy will be effective from 9 October 2023
Why study Master of Software Engineering at Yoobee?
Our Master’s programme has been developed by experts from within academia and industry, meaning you’ll be well prepared for the world of work.
You’ll gain exposure to cutting-edge technologies that will be in demand over the next decade and beyond.
Our industry partnerships include global companies like IBM, AWS and Fortinet
Quantum computing and cloud security experts are in short supply. This qualification boosts your skill level in this area, meaning you’ll graduate ahead of your peers.
Key Information
International students – 20% scholarship for this November intake only
Tuition Fees (November intake only): $25,600 (NZD)
Tuition Fees: $32,000 (NZD)
Resource fee: $2000 (NZD)
Administration fee: $400 (NZD)
Academic
Hold a bachelor’s degree in engineering, computer science, information technology, physics, mathematics, business, or related disciplines; OR an acceptable equivalent qualification from a recognized university (or similar) overseas, AND
Have substantial knowledge on programming, preferably in C++/Java/Python;
Alternative entry criteria (approval case by case by Head of Faculty)
2-3 years Diploma programme in related study areas with 3-4 years working experience in software developing
English
IELTS 6.5 (Academic) with no band lower than 6.0 or equivalences approved by NZQA
Age
At least 18 when commencing the course
Any student enrolled in the November intake is eligible for the scholarship.
Students need to accept unconditional offers by 30 September 2023.
After the cut-off date, the scholarship automatically reverts to 10%.
Software:
Throughout your study you will use a range of open-source software.
Yoobee will also offer subscriptions with
IEEE Xplore
O’Reilly digital media
Equipment:
You are required to bring your own device. This allows flexibility of study outside of class hours and seamless remote study in the event of another lockdown where classroom facilities are inaccessible. If you do not own your own device, please discuss this with one of our team at enrolment.
|
Components of |
Minimum |
Recommended |
| CPU |
Intel Core i5, |
Intel Core i5, |
|
Memory |
8 GB |
16 GB |
|
Disk |
256 GB SSD |
512 GD SSD |
|
Screen Resolution |
1280 x 800 |
1920 x 1080 |
What you'll learn
Professional Software Engineering
This course is taught in different programming languages including C++ and Java, and focuses on the concepts, techniques and frameworks needed in designing single and n-tier applications. You’ll learn about software engineering models, design pattern principles and best practice for developing, testing, and debugging software artefacts.
Research Methods
The research proposal you identify in this course will set the scene for your final capstone research project. You’ll develop advanced design thinking skills, and research and writing methods, including the ability to conceptualise research questions, design document structure, plan out quantitative and qualitative methods, and seek ethics approval.
Quantum Computing
Quantum computers outperform traditional computers for a range of practical problems, and in many cases offer drastic advantages. In this course you will be introduced to several basic quantum algorithms and gain an understanding of the key differences between computing and quantum computing. You will apply this knowledge to the key quantum protocols: teleportation, superdense coding, and quantum algorithms and be able to comprehend quantum entanglement and coherence.
Data Analytics
Our world is driven by data and data analysts hold the top position in the top 10 emerging jobs landscape. This course will see you exploring diverse data sources, creating and enhancing data models, creating insightful data visulisations, designing data-driven reports and creating dashboards. You’ll explore modern machine learning algorithms and discover how to create predictive, diagnostic and prescriptive models that can be used in business decision making.
Blockchain and decentralised digital identity
Here you’ll gain a solid understanding of blockchain, digital currency and decentralised identity. We cover a wide range of topics including the technical underpinnings of cryptocurrencies, blockchain programming, cryptographic systems security, information security and smart contract programming.
Cloud Security
The aim of this course is to provide you with a foundational level of understanding around what is needed to secure a cloud ecosystem. You will focus on cloud security principles and innovative solutions to tackle security concerns, meaning on completion you will bring added-value to any infrastructure or security team utilising cloud technologies.
Intelligent Transportation Systems
In the final course of the semester, you will learn how to leverage artificial intelligence and machine learning to develop intelligent transportation systems (ITS). You’ll cover topics including transportation network operations, architecture and applications of public transport systems, urban planning, and cybersecurity as it relates to ITS.
Industry-based capstone research project
This is your chance to bring together all your learnings from the previous two trimesters as well as your own individual creativity and research approach, to deliver a final project. The nature of this project could be experimental, feasibility studies, design, or testing of equipment and will showcase your software engineering and research skills. The first 5 weeks will be used to create the project proposal/select the project from within industry and the remaining 10 weeks are used to execute the project.
