Master Of Software Engineering (Cloud Computing, Advanced)

Our rigorous, 64-week Master of Software Engineering programme is for experienced software engineers looking to significantly deepen their knowledge and pursue specialist careers in the field of Cloud Computing. Unlike a traditional degree, the Master of Software Engineering is tailored to your unique needs and creative challenges. You’ll have the opportunity to investigate advanced software engineering techniques, challenge the foundational principles of your chosen discipline and explore the boundaries of software design, all under the expert guidance of one-on-one professional mentors and our industry-leading faculty.

About the School

This course is provided by Media Design School at Torrens University Australia. RTO 41343 CRICOS 03389E

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Media Design School

Course Delivery

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Workload and Assessment

Typical assessment includes:

Each subject involves 10 hours of study per week, comprising 3 hours of facilitated study and 7 hours self-directed study.


Project/Application/Research Proposal, Process/Research Documentation, Application Outcome, Reflective Journal/Blog, Report/Essay, Presentation/Pitch, Examinations/Tests/Quizzes, Research, Collaboration, Individual self-directed major project, Work integrated learning project work, Software development for social enterprise

Subject Information

In this subject the students are introduced to the main project management principles and modern software project management practices. During the subject, the different methods for managing and optimising the software development process are discussed along with the different techniques for performing each phase of the software development life cycle.

In this subject students are introduced to the current Software Engineering standards and processes, with the aim of enabling them to analyse, design, and implement software projects that follow certain quality measures at every stage of the Software Development Life Cycle. The subject covers requirements engineering, modelling and design of software, software architecture, verification and validation of software systems, and other topics that are related to software engineering practices.

The intended aim of this subject is to equip students with fundamentals of Secure by Design and enable abstraction of its underlying key principles. The course content is oriented towards the core pillars of Information Security: Confidentiality, Integrity and Availability. The subject is structured around the main Secure Development Lifecycle (SDLC) Models, Security by Design principles, appropriate SDLC model selection, application of secure development techniques, vulnerabilities and techniques to tackle, secure design and development best practices, introduction to encryption, introduction to the classification of security flaws and application security.

This subject helps students explore several important fields of general inquiry pertaining to significant intellectual issues related to human beings so they can view everyday problems and formulate solutions in new ways. Broadly, the subject covers the theory of knowledge, human cognition, ethical and moral values, analysis of human history, critical analysis, appreciation of literature and arts and social interaction among human beings through a technological context. Human Centered Design is to give students an appreciation of the factors that influence human behavior and interactions so that they can apply specialised skills to help solve problems that affect diverse societies.

This subject gives students a fundamental understanding of Cloud Computing. They are able to understand how the cloud computing infrastructure has evolved from the traditional IT infrastructure and what business advantages it brings. Students will also learn the different Cloud Segments and Cloud Deployment models and the key players in the market. The subject also provides a knowledge of Cloud Services and Cloud Security to the students.

This subject introduces students to a framework for developing good scholarly inquiry skills and fundamental knowledge needed to make rational decisions about research strategies. Students will be presented with research strategies to critically investigate exemplar studies and examine the connection between a research question with appropriate research design and methodology. On completion of this subject, students should be able to develop researchable questions, and write research proposals and literature reviews. They will have a critical understanding of the strengths and limitations of the quantitative, qualitative and mixed method approaches to research. They will also learn about the ethical principles of research, challenges in getting approval and the approval processes.

In this subject students learn and review key best practices and tool chains used to set up automated workflows for development and operations. Students increase their knowledge around DevOps and are able to minimise the manual tasks of code merge, code commits, branching, code reviews, builds, tests, code quality matrices, integration with repository, analytics and deployment. The subject also covers an overview of scaling and monitoring across various environments.

This subject provides an in-depth understanding of distributed application and systems development by training learners to aggregate resources of networked computers to construct highly versatile and scalable services. The topics cover how to implement thread pools that leverage lightweight concurrency primitives, harness concepts of distributed algorithms and discuss the role of overlays in content dissemination. Case studies of distributed systems are also covered in detail. Finally, learners design efficient data representation formats for communication between distributed components.

In this subject students learn techniques and best practices in collecting, storing, cleaning, manipulating, analysing, extracting, and visualising useful information from large, structured, semi-structured, or unstructured data sets, which are useful for crucial organisation decisions. Students will also learn applications of big data analytics across industry sectors such as segmentation and prediction, churn prediction, recommender systems and targeted marketing, sentiment analysis, operational analytics, and Big Data for social good.

This subject is designed to provide students an opportunity to pursue a significant project in a professional environment related to their specialisation. This enables students to develop skills that enhance their prospects of gaining meaningful employment and build their career for the future.
Work integrated learning broadens the students’ learning environment while they are studying and allows them to see first-hand how their learnings in their degree translates in practice, as well as how ‘real world’ practice relates to what they are learning at University.

Students enrolled in Masters (Advanced) have an opportunity to avail one of the three options below simultaneously for this subject and “Advanced Technology – Work Integrated Learning”.

There are three options available to students:

Option 1: Industry Placement

Students are offered the opportunity to work within a technology company as an intern or volunteer at a technology non-profit organisation. It encourages students to build long-term relationships with the tech industry and provides an opportunity for them to work with and learn from people who may end up becoming colleagues, managers or mentors. It also provides a context in which to enhance their communication skills and work collaboratively in a professional arena. Students will undertake a series of industry-led tasks that are relevant to their field of study in order to understand the key concepts of working in and managing a professional technology team with emphasis placed on the operation of the environment.

Option 2: Industry Live Brief

Industry live brief, also known as an industry project engages students in an activity where the parameters of success are set by the client. Academic staff and industry provide supervision for students, while industry provides, mentorship in addition. Numerous technology firms have ideas and opportunities they would like to explore and prototype; this is where students or student teams connect with industry to achieve scale with minimal risk.

An understanding of research methodologies appropriate to professional practice and the documentation of personal creative investigation is explored. Students also further investigate and examine entrepreneurial and commercial opportunities through collaborative work practice. The subject fosters a cross-specialisation perspective and draws on both specialised and common software engineering practices.

Students are required to work both independently and as part of a collaborative team that includes industry representatives to conduct research, analyse and define project parameters and deliver innovative solutions that expand the notion of an industry live brief.

Options 3: Capstone

Students execute, finalise and present their self-initiated project exhibiting a sophisticated understanding of software engineering, whilst addressing the university ethos. Central to the project will be evidence of critical analysis and reflexive and reflective practice, social engagement, in addition to the use of refined visual language in its execution with particular industry relevancy for which their project is intended. Students draw upon the philosophical, practical, methodological, theoretical and technical tools they have gathered over the duration of the degree to complete a successful project. Students are mentored through this research project by an industry supervisor with complementary practice-based research expertise. Projects must pertain to the field of software engineering and in particular to their specialisation.

Students are required to work independently or as part of a collaborative team in order to conduct research, analyse and define project parameters and deliver innovative solutions.

This subject is designed to provide students with professional experience in an area related to their specialisation. The aim of providing industry-specific opportunities is to enable students to develop skills that will enhance their prospects of gaining meaningful employment and building their career for the future.
Much of the benefit of work integrated learning comes from observation, practicing under supervision and reflection. Work Integrated Learning is an excellent way to broaden the students learning environment while they are studying. It allows them to see first-hand how what they are learning in their degree translates into practice, as well as how ‘real world’ practice relates to what they are learning at University.
This subject will develop work ready skills and boost students’ employability while they are studying.

There are two work integrated learning options available to students:
Option 1: Industry Placement
Students are offered the opportunity to work within a technology company as an intern or volunteer at a technology non-profit organisation. It encourages students to build long-term relationships with the tech industry and provides an opportunity for them to work with and learn from people who may end up becoming colleagues, bosses or mentors. It also provides a context in which to enhance their communication skills and work collaboratively in a professional arena. Students will undertake a series of industry-led tasks that are relevant to their field of study in order to understand the key concepts of working in and managing a professional technology team with emphasis placed on the operation of the environment.

Option 2: Industry Live Brief
This subject requires students to respond to criteria set within the context of an Industry Live Project. An understanding of research methodologies appropriate to professional practice and the documentation of personal creative investigation will be explored. Students will also further investigate and examine entrepreneurial and commercial opportunities through collaborative work practice. The subject is delivered from a cross specialisation perspective and draws on both specialised and common software engineering practices.
Students are required to work both independently and as part of a collaborative team in order to conduct research, analyse and define project parameters and deliver innovative solutions that expand the notion of an industry live brief.

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