Course Details

Course Code(s):
HDDEDAUFAD
Available:
Full-Time
Intake:
Autumn/Fall
Course Start Date:
September
Duration:
1 Year
Award:
Higher Diploma
Qualification:
NFQ Level 8 Major Award
Faculty: Science and Engineering
Course Type: Taught, Professional/Flexible
Fees: For Information on Fees, see section below.

Contact(s):

Name: Dr Salim Saay
Email: Salim.saay@ul.ie
Express Interest

Register your interest here for more information or to be notified when applications are open.

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.

 

Required Documents for UL application:

Delays in receiving these documents will affect the progress of your application.

- Photo or Scanned original copy of your transcripts for all years of study. (Graduates of UL need only provide us with their Student ID number.)

- Photo or Scanned copy of passport to verify ID and full legal name.

- A copy of your most recent CV, please note that by providing this document you are agreeing that we may send it to members of industry if you require assistance when searching for an Industry Learning Placement (ILE)  or project work (applies to some courses only). 

- Applicants who do not have English as their first language may satisfy English Language requirements:

  • If your qualifications have been obtained in a country where English is an official language this will suffice

  • If this is not available, the following additional documents must be provided:
    • English translation of your qualification(s)/transcripts
    AND
    • English language competency certificate

    For more information Click Here

 

 

EU - €7,500

Non EU - €7,500

Springboard - Candidates who satisfy the eligibility criteria under Springboard+ can qualify for 90% or 100% funding subject to the availability of places. To clarify eligibility please go to https://springboardcourses.ie/eligibility

Please note that Fees are subject to review

For fees click here 

Please click here for information on funding and scholarships.