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DevOps and Data Analytics - Higher Diploma

Course Details


Available: Full- Time

Duration: 1 Year

Award: Higher Diploma

Faculty: Science and Engineering

Course Type: Taught Professional/Flexible

Fees: For Information on Fees, see section below.



Brief Description

This Higher Diploma in DevOps and Data Analytics at University of Limerick allows participants to develop graduate-level knowledge and skills in this growth area. They will highly benefit from a programme that is distinctive in its relevance to industry and business. They will be provided with an opportunity to gain up-to-date knowledge and skills in DevOps and Data Analytics with input from industry, both in terms of content and opportunity to apply learning in real-life contexts.

By introducing this new course offering, HDip in DevOps and Data Analytics, UL will increase the provision of high-level ICT skills, by providing new pathways to skills development that involves in-work training as well as innovative models of learning. This programme will allow participants with basic IT skills and programming to become upskilled as a DevOps practitioner.


The main areas of study are focused on modern approaches for highly productive software development and operations, in realistic project scenarios, in an industrial context, and at-scale. 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
  • 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
  • CS4178: Software Requirements and Modelling: Introduction to requirements and modelling phases of development cycles
  • CS4004: Software Testing and Inspection: Introduce students to software testing and inspection
  • CS4337: Big Data Management and Security: Introduction to Challenges and Practice in big data management and governance
  • CS4416: Database Systems: Introduction and application of databases as foundation of database management systems (DBMSs)
  • CS4116: Software Development Project: Semester long software development project, as part of team, developing problem-solving skills
  • CS4457: Project Management and Practice: Examines the processes by which computer-based information systems are managed and needs integrated
  • 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)
  • CS6402: Intermediate Programming: Explores classical algorithms, data structures,and other advanced programming constructs
  • CS4168: Data Mining: Data mining processes, inc data preparation, feature extraction & selection, machine learning
  • IE2011: Industry Learning Project: Opportunity to apply learned course material to carry out real-life industry projects (this module is subject to change)
  • NEW MODULE: Agile Software Development: Agile Software Development and related Software Development Paradigms
  • NEW MODULES: Continuous Software Engineering: Continuous Software Engineering, Continuous Integration and Deployment

Level 8 honours primary degree, at minimum second class honours, in a relevant engineering/computing/mathematics or technology discipline.

Applicants who do not meet the academic entry requirements but who have significant relevant experience in the technology sector (minimum 5 years) and are encouraged to apply under the University Recognition of Prior Learning (RPL) policy.

Applicants must also satisfy the English Language Requirements of the University.

All employed participants must pay a contribution of the course cost directly to the provider for all level 7-9 courses. The onus is on the participant to arrange payment of this fee. The HEA will fund the remainder of the cost directly to the provider.

Employed participants will be required to make a 10% course contribution of €750 directly to the University of Limerick.

Springboard+ will pay all fees for unemployed and returner participants.