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Programme

 

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Overview

Note: Applications for this programme is currently closed and will reopen in the Summer of 2017. The 'Apply Now' button is for information purposes only until the online application process reopens.   

This programme is available online only. All classes are delivered over the Internet and all practical work is completed using CIT’s cloud infrastructure.

This programme aims to produce graduates who have the required technical skills to exploit and be successful in the expanding area of Cloud computing.  Cloud Computing is considered a relatively new field in Internet computing where novel perspectives in internetworking technologies have emerged. To successfully deal with issues relating to this new paradigm the MSc in Cloud Computing programme aims to equip the graduate with the advanced conceptual understanding, detailed factual knowledge, and specialist architectural and technical skills required to design and implement cloud based solutions and services.

More recently the convergence of the cloud with big data has created additional opportunities for IT professionals to gain valuable insights into their business data. Such insights are critical for companies to maintain their competitive edge, increase their revenues and deliver new innovative services and solutions. The programme also aims to address the skills gap in this area so the graduate is equipped with not only the skills to store the data in the cloud but also to derive meaningful analytics from it to deliver true business value.

The 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.

Duration

18 months (3 semesters) is the minimum duration

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.

Content

The content seeks to reflect current and likely future practice in cloud planning and management, the design and management of virtual environments, 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.

The current timetable is available for you to see how the programme is implemented.

An outline of each module is given below.

Mandatory Modules
Cloud Strategy Planning & Management
The Cloud Strategy Planning & Managent module gives students the skills and knowledge required to plan and manage a cloud computing strategy within an organisation. This module will enable students to evaluate the strategic value of cloud computing in its IT strategy using IT governance and compliance.

Managing Virtual Environments
The Managing Virtual Environments module will focus on the management of virtualiesd infrastructures and equip students with the in-depth knowledge and techniques used to efficiently optimize and effectively troubleshoot virtualised systems that form the backbone of cloud infrastructures.

Data Centre Networking
The Data Centre Networking modules focuses on networking within the data centre. As data centres grow in size and complexity enterprises are adopting new technologies that combine multiple traffic types that were traditionally carried over different network infrastructures. This module examines these new technologies and demonstrates how consolidation can be realised using a unified network approach.

Cloud Security
The Cloud Security module focuses on the security of cloud-based system. If security fails, cloud computing might fail as a concept. This module addresses the security issues that pertain to cloud computing including data protection, data verification, tampering, loss and theft solutions, authentication, privacy and control solutions, identity management.

Computing Research and Practice
The Computing Research and Practice module is designed as a support module to the computing research project module. On completion of this module, students should be able to demonstrate an understanding of research methods appropriate to their computing research project and apply research methods to successfully complete their project. This is a mandatory (M) 5 credit (ECTS) module.

Cloud Storage Infrastructures
The Cloud Storage Infrastructures module provides a comprehensive view of storage and networking for cloud-ready highly virtualised infrastructures. The module focuses on building capabilities to develop cloud based solutions to deploy it-as-a-service leading to improved agility. Focus areas include virtualised data centre and cloud, information storage security & design, storage network design, COS – cloud optimized storage and information availability design.

Research Project
The Research Project is a central activity of the program and is focused on the development of a research project in an area that complements the student’s continuing professional development. This module is weighted at 20 ECTS credits, four times greater than a typical module of 5 ECTS credits.

Elective Modules (choose 2)

Software Engineering
The Software Engineering module is an elective module. Traditional programming techniques and tools are primarily aimed at supporting programming-in-the-small. Programming, although an important aspect of software engineering is not the same as software engineering. Mathematical aspects play a role in software engineering, as the correctness of software becomes more of a concern; psychological aspects play a role in the communication between humans, as well as between human and machine. Sound engineering practices are required to get truly useful products. Finally, there is the management issue of development-process control.

Data Analytics
The Data Analytics module is an elective module. Data analytics is the science of examining raw data with the purpose of drawing conclusions about that information. Data analytics is used in many industries to allow companies and organization to make better business decisions and in the sciences to verify or disprove existing models or theories. Data analytics is distinguished from data mining by the scope, purpose and focus of the analysis. Data analytics focuses on inference; the process of deriving a conclusion based solely on what is already known by the researcher.

Scripting for System Administrators
The Scripting for Systems Administrators module is an elective module. This module will provide the student with programming and scripting skills, will address issues such as scripting for security, web services, cloud/virtual servers along with standard physical servers, troubleshooting and solving complex use cases.

Application Development Frameworks
The Application Development Frameworks module is an elective module. This module has two distinct sections. In the first section students will learn about building applications using a popular application development framework. After the first section is completed the module will focus on one of the following areas: Enterprise Integration or Rich Web Applications. Enterprise Integration will cover today’s most important topics and technologies related to enterprise application integration. Rich Web Applications will focus on web application development and how to apply an application development framework to create rich web applications.

Free Choice
The Free Choice module can replace an elective module and therefore allows a student to select another Level 8 module from CIT’s module database. This is an elective (E) 5 credit (ECTS) module. Please note that this option may not be available online and therefore the student will be offered an alternative elective module.

Award

Master of Science in Cloud Computing (Level 9 on the National Framework of Qualifications)

Course Fee

€10,800 in total. Three instalments of €3,600 are possible

Contact

Dr Donna O’Shea
Department of Computer Science
T: +353 (21) 433 5116
E: donna.oshea@cit.ie

Closing Date for Application

Completed applications must be made online with CIT before 5pm on 12th September 2016. Classes will commence in September 2016.

Note: Applications for this programme is currently closed and will reopen in the Summer of 2017. The 'Apply Now' button is for information purposes only until the online application process reopens.   

Apply Now >>