Master of Science in Computing

This module aims to significantly deepen the learners’ research skills, both in relation to their module related assignments and later in the completion of their major dissertation/dissertation by practice. Specifically, it extends their abilities as self-directed learners by equipping them with the appropriate vocabulary for reflecting on, critiquing, and evaluating their own work and that of others. Throughout the module, they are required to engage in a number of research methodologies and current research issues and trends in computing science. The module also addresses the need for good project management skills and techniques for the successful delivery of any project.

This module aims to provide learners with an understanding of the issues involved in the design and analysis of telecommunication networks, as well as a knowledge of such systems in terms of physical implementation, protocols, routing algorithms, management, software interfaces, and applications. The module focusses on high-speed telecommunication networks.

This module aims to introduce learners to mobile application development. Learners explore the differences in the computation model between desktop and mobile. Learners are also exposed to the reduced capabilities of this hardware and assess how this impacts their application development. They are also introduced to the sensors available on these devices and how they can be exploited. Learners evaluate advanced topics in mobile applications including different form factors (including, smartwatch, tv, etc.), VR and AR applications, integration with the web and cloud.

This module aims to provide learners with an understanding of Information Retrieval (IR) and web search algorithms. The module introduces fundamental techniques and relevant approaches from information retrieval used in a variety of applications such as web search and document matching systems. Learners get an understanding to the practical techniques used in IR systems and approaches used in ranking and evaluating these systems. Recent developments in IR and web search are introduced with the use of most recent academic papers.

This module aims to provide learners with a mastery of the core aspects of Information security. Learners gain an understanding of security services and mechanisms such as confidentiality, integrity, authentication, access control, secure communication, digital signatures, and the practical aspects of secure programming. Learners also critically understand the need for an information security policy and mechanism to test such policies as well as identifying and reacting to information security incidents.

The module aims to introduce learners to Agile Software Development practices. Learners are introduced to the Agile Manifesto and methods and, through practical agile software development, create a software artefact. Learners work in groups to realise a software solution to a problem proposed by a customer. They learn to work with the customer at all stages creating user stories, designing sprints, and reviewing sprints.

The module aims to introduce learners to cloud computing infrastructure. Learners evaluate state-of-the-art solutions offered by major cloud providers. Learners also explore important topics of research around the cloud such as energy optimisation, and the efforts to introduce standardisation in the cloud to give them an appreciation for the current and future direction of cloud-based services. Learners are given the opportunity to develop applications for a cloud-based platform and evaluate the differences between normal computation and a cloud-based model.

The module aims to introduce learners to different models of parallel and distributed programming. Learners study the theory, advantages and reduced processing time of this model compared to the single-threaded model. The concepts of critical sections and mutual exclusion are explored, initially with the use of multiple threads. Learners also study the distributed memory model of parallel processing where multiple physical machines will process and coordinate together to compute the solutions to a range of problems. The theory, design, and implementation of such solutions are explored.

The aims for learners to produce a significant piece of development work as the capstone of their Master of Science in Computing Science, using the skillset developed over the duration of the programme. Learners are expected to rely particularly on the skillsets developed in the Research Methods module to bring a systematic piece of research and development work from initial requirements gathering through to final completion. Learners are individually supervised to ensure requirements are met and they are kept on track

Study Mode: Full-Time & Part Time 

 

Dublin Main Campus: EUR 7,750.00

Study Mode: Full-Time

 

Please refer to the Irish/EU Living Abroad Fees.

Study Mode: Full-Time

Please refer to our Non-EU Tuition Fees section.

Non-EU students: a Student Services and Administration fee of EUR200 is payable each academic year in addition to the fees quoted below.

The MSc in Computing course duration is 1 year for full-time students and 2 years for part-time students

The MSc in Computing course is available in both full-time and part-time study modes.

Graduates of the programme can pursue careers in various sectors, including software development, project management, IT consultancy, and systems analysis. Potential job roles include software engineer, IT consultant, systems analyst, project manager, and technical lead, among others.

The fees for the programme can be found on the Griffith College website. As fees may change over time or vary depending on factors like nationality or study mode, it is advisable to check the course page or contact the admissions office for the most up-to-date information.

Griffith College typically offers various payment options for tuition fees, such as payment in full, payment by instalments, or payment through a sponsor. It is recommended to contact the admissions office or the finance department for specific details regarding payment options.

Griffith College offers a variety of services to support learners on campus, including access to computer labs, a library, study spaces, and Wi-Fi. Additionally, students have access to academic support services, career services, counselling services, and various clubs and societies to enhance their overall learning experience.