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Computing in DevOps
Master of Science
Course Details
Course Code | LY_IDVOP_M |
---|---|
Level | 9 |
Duration | 1/2 years |
Credits | 90 |
Method of Delivery | Online or On-campus |
Campus Locations | Donegal – Letterkenny |
Mode of Delivery | Full Time, Part Time |
Course Overview
Course Details
Year 1
Semester | Module Details | Credits | Mandatory / Elective |
---|---|---|---|
1 |
DevOps Software EngineeringThis subject will extend the learners knowledge of programming through an exploration of continuous integration, build management, automated testing. Learners will work on a series of problems set in an enterprise environment using tools implemented by industry when developing enterprise scale software. Guest Lectures will be provided where possible. Learning Outcomes 1. Develop software in a collaborative manner using Agile techniques most appropriate to a DevOps environment |
10 | Mandatory |
1 |
IaC for DevOps PipelinesThis subject will expose the learners to infrastructure as code created as created to provide infrastructure support for a deployment pipeline. Learners will design and implement the deployment pipeline using one or more DSLs for both specific pipelines and generic solutions for multiple simultaneous project pipelines. Learning Outcomes 1. Engage in practitioner-based research to compose solutions to deployment pipeline efficiency issues |
10 | Mandatory |
1 |
PlacementThis module aims to provide operational experience of best practice in the design, implementation, and management of DevOps systems to learners. With the objective of maximising their employability and future career prospects, this module enables students to become exposed to a professional working environment. Learning Outcomes 1. Critically e xplore the varied environments through which DevOps systems and practices are designed, realised and deployed. |
10 | Elective |
1 |
Research ProjectWhere, through no fault of their own, the student fails to obtain a placement this alternative project module will be offered. This module aims to provide experience of best practice in the design, implementation, and management of DevOps systems to learners through research and practical experience in topics which relate to trending topics or typical industry tasks. The objective is to maximise their employability and future career prospects, this module enables students to become exposed to research and communications as found in a professional working environment. Learning Outcomes 1. Explore the varied technical environments applied within and to DevOps systems for the management of resources. |
10 | Elective |
2 |
DevOps Project ManagementIn this module learners are exposed to the key processes, controls and technologies supporting an automated software delivery pipeline. Learners will design and implement controls and processes to manage the successful, rapid delivery of software as well as gain practical exposure to appropriate tools and infrastructure. Learning Outcomes 1. Design, justify and implement the correct controls/processes for Release and Change Management in an Agile delivery organisation. |
15 | Mandatory |
2 |
Disruptive DevOpsThis subject will expose the learners to emerging and disruptive concepts for DevOps . Learners will draw on the experience of industry speakers from diverse areas of expertise. An opportunity to engage with disruptive technologies is provided through engagement with and collaboration on a FOSS or industry led project . Learning Outcomes 1. Determine issues relating to the application of emerging technology across large scale complex projects and services including diverse underlying architectures and infrastructure. |
15 | Mandatory |
3 |
DissertationThis module involves working on a research dissertation over an extended period. Working under the guidance of an academic supervisor, the module allows the student to develop theoretical and applied skills in using contemporary computing science techniques both from a theoretical perspective and as an applied discipline. The dissertation represents the capstone work on a topic related to their chosen programme of study. Learning Outcomes 1. Develop appropriate data collection instruments for mixed methods research and to evaluate each for their appropriateness to the research question; |
30 | Mandatory |
Recommended Study Hours per week
Examination and Assessment
On-Campus Attendance Requirement
Progression
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Entry Requirements
Fees
Total Fees EU: €6300
Total Fees Non-EU: €14000
Subject to approval by ATU Governing Body (February 2025).
Further information on feesCareers
Further Information
Who Should Apply?
Contact Information
Department of Computing
Computing