Master of Software Engineering
Be part of the future of data analytics, quantum computing, cloud security and blockchain with our new 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.
180 Credits | Full-time | On Campus
Be part of the future of data analytics, quantum computing, cloud security and blockchain with our Master of Software Engineering.
With our extensive experience in software engineering and strong links to industry we are now offering a Master of Software Engineering, designed with the future in mind. Through our accelerated pathway option this can be completed in one year. Quantum computing, blockchain and data analytics are shifting the economic landscape and we want you to be part of the shift. Our new Master’s programme will give you advanced knowledge of cutting-edge technologies in the software space, and will develop you into a creative, adaptive and diverse software specialist. Your first trimester will focus on developing practical and technical hard skills including programming language syntax, object-orientated concepts, and foundational algorithms. You’ll work as part of a team to compete a product development project that combines your technical know-how with the soft skills of communication and collaboration. Trimester two will see you dive into data analytics, blockchain (including cryptocurrencies and token economics), cloud security, and intelligent transportation systems such as loT, Computer Vision, and Machine Learning. The final trimester brings it all together into one capstone research project.
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.
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 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.
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.
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.
A bit more information
Throughout your study you will use a range of open-source software.
Yoobee will also offer subscriptions with
O’Reilly digital media
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.
Intel Core i5,
Intel Core i5,
256 GB SSD
512 GD SSD
1280 x 800
1920 x 1080
International students – 10% discount to celebrate our first intake of this brand new Masters
Tuition Fees: $32,000 (NZD)
Course Related Costs: $2000 (NZD) (fees are subject to change)
We are currently reviewing this fees for Domestic Students. Please check back soon for details.
Please note fees are subject to change.
Every applicant of the Masters programme must be approved for admission by the Faculty Lead. To be considered you must
Hold a bachelor’s degree in engineering, computer science, information technology, physics, mathematics, business or related discipline OR
An acceptable equivalent qualification from a recognised university overseas.
Students who have English as a second language must demonstrate a level of English language competency equivalent to IELTS 6.5 (Academic) with no band less than 6.0.
For students studying online you will also need
Access to a computer with basic hardware requirements.
A microphone and reliable internet connection.
You may apply for Special Admission if you have relevant experience and skills. Your application should be supported by
A professional scholarly portfolio and/or
Documented industry experience.
Course Start Dates
WANT TO KNOW MORE?
Go on, ask us anything. A student advisor will be in touch to help find the best fit for you.
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.
IT Solution Integrator
Qualifications are issued by Yoobee Colleges Ltd. Yoobee Colleges Ltd is an NZQA Category 1 provider, the highest rating a school can be awarded by the Government.
Term dates are subject to change pending enrolment numbers, availability and unforeseen funding fluctuations. Yoobee Colleges Ltd reserves the right to modify schedules to make sure the College runs well and students are offered the best learning experience.
INTERESTED IN KICKING OFF YOUR CAREER?
Our friendly course advisors can help with everything you need to know including an outline of study options, key information about enrolment, and all our campuses spread around New Zealand.
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