DevOps and Continuous Software Engineering - Graduate Diploma

Program Overview

This Master's program offers a distinctive blend of theory and practice, equipping students with in-demand skills in modern software development and operations. Through industry collaborations and real-world project experiences, students gain hands-on knowledge and prepare for success in ICT careers.

Program Outline

Outline:

Program Content

• CS6081: Research Methods and Practice: Introduction to the nature of research and reasons for research investigations
• CS5721: Software Design: Equips students with knowledge and skills to design quality object-orientated software
• CS5741: Concurrency & Parallelism in SW Development: Theoretical grounding in parallel and concurrent programming skills
• CS5702: Software Engineering Requirements: Critical analysis of inherent challenges and barriers that exist at system and software boundaries
• CS4457: Project Management and Practice: Examines the processes by which computer-based information systems are managed and needs integrated
• CS5703: Software Quality: Focus on the importance of quality in a software context
• CS5705: Human Computer Interaction: User-centred approach to design, exploring advantages and challenges of HCI
• CS5722: Software Architecture: Explores practices and latest state-of-the-art software architecture
• CS5061: ICT Employability Skills Workshop: Workshops focussing on the personal and professional skills essential for success in ICT employment (this module is subject to change)
• NEW MODULE: Agile Software Development: Agile Software Development and related Software Development Paradigms
• NEW MODULE: Continuous Software Engineering: Continuous Software Engineering, Continuous Integration and Deployment

Other:

• The program is distinctive in its relevance to industry and business.
• Participants will gain up-to-date knowledge and skills in DevOps and Software Engineering including machine learning with input from industry, both in terms of content and opportunity to apply learning in real-life contexts.
• This includes for instance:
• Translating business/user objectives into system requirements and models, dealing with constant change in those
• Modern approaches for testing and quality assurance, test-driven development
• Ensuring non-functional requirements (e.g., performance, availability, reliability, security, privacy)
• Software development paradigms and practices, Agile approaches
• Software development at-scale, with high-frequency updates o CI/CD, Pipelines, Strategies
• Containerisation
• Infrastructures and platforms for large-scale software systems
• Integration of software development with infrastructure and operations, Site Reliability Engineering (SRE).
• This is complemented with areas of study towards data-driven applications that are highly sought after in application domains for such software systems and a data-driven economy in general:
• Data Analytics, Data Mining
• Big Data, Data Management and Security

EU - €7,500 Non EU - €7500