With our extensive experience in software engineering and strong links to industry we are now offering a Master of Software Engineering, and 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 Master’s programme 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.
Upon completion, you will graduate with a Master of Software Engineering
1 year (45 weeks) – 3 Trimesters
Saturdays and Sundays
You will become an expert in quantum computing, cloud security, data analytics and blockchain.
The programme is heavily focused on project-based learning so you graduate with real-world skills.
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.
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.
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.
