Master of Software Engineering

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.