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Cloud Computing

The MSc in Cloud Computing is taught online using Cloud based technologies, so students can learn about the cloud in the cloud. Learning technologies such as Canvas, Zoom and virtualised lab infrastructures are just some of the systems that are used to deliver this innovative programme. Lectures, which are delivered at night are streamed live over the Internet and recorded to facilitate easy playback for students. This offers great flexibility to students as they can access their lectures and labs anytime, anywhere on any device that has a Web browser. It is a testament to the online delivery platform in CIT that students can participate in the programme irrespective of their physical location or working status.


Cloud Computing refers to the practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer. The MSc in Cloud Computing programme was designed to equip graduates with the detailed knowledge, specialist architectural and technical skills required to design and implement cloud based solutions, and services.

The programme content seeks to reflect current and likely future practice in cloud planning and management, the design and management of virtual environments, data analytics, the consolidation of data centres, security techniques in multi- tenant virtualised environments and related areas that contribute to the building of both private and public cloud environments. CIT hosts its own private cloud infrastructure to support the delivery of modules giving students 24/7 access to state-of- the-art cloud computing labs. All lectures are delivered online by academic and industry experts.

This innovative master's programme was developed in conjunction with key industry stakeholders, such as EMC, VMWare and many other companies. The programme offers the opportunity to learn about cloud in the cloud. CIT hosts its own private cloud infrastructure to support the delivery of modules. Lectures are delivered online by industry and academic experts and are recorded for subsequent playback on any device.

Designed to address the widening practical and theoretical skills shortage in cloud computing the programme delivers content that follows best practice in industry. It has a strong applied emphasis which is supported by in-depth theoretical knowledge. The continuing trend of skills shortage in this area is predicted to increase the global demand for cloud computing graduates.

Graduates may also wish to continue to PhD level in this exciting field of study.

Entry requirements

Admission Requirements

Entry to the MSc in Cloud Computing will require a minimum of a Level 8 Honours Degree in Computing or in a cognate discipline. As this programme is designed specifically for computing professionals working in the IT industry only graduates with experience will gain direct entry into this programme.


Online over 4 Semesters.



No. of weeks per semester: 13

No. of timetable hours week: 6

Which days: Normally two nights a week

Duration: 4 semesters

Number of credits

M.Sc.: 60 ECTS

Further enquiries


Dr Ruairí O'Reilly

Department of Computer Science

E: or


T: +353 (0)21 432 6161


Subjects taught


The programme contains challenging and interesting modules delivered by lecturers who are experts in Artificial Intelligence. You will also be presented with opportunities to work on modern research case studies linked to the domain expertise of staff in the department. The programme places significant emphasis on student learning by doing. It adopts a practical, hands-on, approach to learning, where all modules are fully assessed using continuous assessment methods. There are no formal end of semester written examinations and this ensures that you will learn by doing from the first module to the last.

Semester 1 (Autumn - Year 1)

Managing Virtual Environments

Cloud Strategy Plan & Management

Scripting for System Automation

Free Choice Module (Various)

Semester 2 (Spring - Year 1)

Data Centre Networking

Research Practice & Ethics

Data Analytics

Free Choice Module (Various)

Semester 3 (Autumn - Year 2)

Distributed Ledger Technology

Cloud Storage Infrastructures

Semester 4 (Spring - Year 2)

Research Project

Application date

Apply online at

Closing date: 10th September 2020

Course fee

€10,800 (payment by instalments is an option)

Enrolment and start dates

Contact the college for the next start date.

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