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Course Details

Master of Science in Computing (Applied Cyber Security)

Course code: BN528 Entry Route into programme:
  • Second Class Honours grade 2 (GPA 2.5 or equivalent )in a Bachelor of Science (Honours) in Bachelor of Science in Computing level 8 or Graduate Diploma or equivalent.
Duration: 1 academic year *
NFQ level: 9
Schedule: Monday & Wednesday
Award title: Master of Science
Credits for Full Award: 90 @ NFQ Level 9
Fee: €5,200 (EU Fee)  
Awarding Body:                  Technological University Dublin * A dissertation should be submitted by the end of August.


This programme was formerly titled " MSc in Computing (Information Security & Digital Forensics - BN518). This new MSc in Applied Cyber Security was updated based on extensive feedback from industry and graduates. Most module titles remain unchanged and this new course better reflects the needs of industry.

Information Security Ireland

TU Dublin - Blanchardstown Campus is a part of Information Security Ireland (ISI) - a central force in the field of Information Security promoting interaction with technology firms, research institutes, academia & the Irish government.


“When it comes to data breaches, it's not a question of IF, but WHEN”

The statistics tell a shocking and sobering story of how insecure your personal data is on the Internet:   

  • 38% more cyber attacks in 2015 than in 2014, 
  • 56% rise in the theft of intellectual property.
  • 1 in 4 people in America had their personal data compromised across all the major sectors of financial, business, education, government and healthcare. 

More successful attacks are believed to be imminent mainly due to the large shortage of skilled IT security professionals to handle these problems.

  • Information Technology - Ireland’s most important economic sectors,
  • Employs 5% (approx.) of the Irish workforce
  • Accounting for a third of Irish exports (€32 billion per annum).
  • Dublin region has a significant concentration of IT multinationals similar to Silicon Valley
  • Ireland has built an enviable international reputation as a technology center that is leveraged to attract investment to other sectors.

Against this background of growth in demand for IT courses and the needs of the business community, TU Dublin - Blanchardstown Campus have designed a new level 9 Master of Science in Computing degree where we expect to be a significant contributor to the needs of the economy and the regional business and social community.


Who Should Apply for the MSc in Computing?

The MSc in Computing programme is of particular value to holders of a primary degree in computing, IT, or equivalent, working as IT professionals. It is also of value to individuals with a computing degree background who wish to develop their career towards working within a research-oriented environment at a postgraduate level.


Career Opportunities

This programme will give you the skills and knowledge to secure personal data and allow graduates to work as security professionals in any of the business and industry sectors. This course focuses on developing hands-on skills backed by theoretical knowledge. An essential part of the master’s degree is the creation of a body of work presented as a thesis which demonstrates ability in research methods, analytics and report writing. The graduates of this programme will be independent learners, good problem solvers and experienced researchers.

Students on this programme will also take part in Capture-the Flag competitions and through their course work, engage with real world problems with companies so that graduates from the programme have the necessary skills to make a difference in the work place.


Our former graduates now work in Deloitte, Integrity Solutions, Rits, Espion, BH-Consulting, Liberty IT, Cobalt Technology, Integrity Solutions, Ward Solutions and larger international companies like Qualcomm, IBM, Deloitte, E&Y, KPMG, Amazon, Google, Microsoft, Ericsson, Zurick Insurance and many more.


Course Content

The 90 credits NFQ level 9 masters programme will be made up of a taught component and a research project component.  The emphasis of the programme is on applied skills with modules designed with the collaboration of industry and academia and where possible, modules will include content from industry certifications.  The research component will be focused on real-world business problems and where possible, the research project will be completed during an internship with a company. 

The courses are suitable for both entrants to a new discipline that require a broader range of taught modules to familiarize themselves with the skills and knowledge of the discipline and for specialist employees who want to up-skill in their specialist areas and require a narrow range of taught modules and more emphasis on the research skills project of the degree.

With our new degree structure, we seek to be flexible and responsive to industry needs while still maintaining a high standard of academic excellence.

Students will be required to take a minimum of 3 taught modules worth 10 credits each, giving a total of 30 credits.  Students then have the option of two different paths to complete the 90 credits required for this master’s degree.


Pathway 1:

One option is to take three more taught modules and a 30-credit research project.  This path would suit students who are new to the discipline and require more taught modules and a smaller research project.


Pathway 2:

The other path is to take a 60 credit research project module route.  This path would suit students who have a background in the discipline and who wish to dedicate more time to the research element of the masters and develop their research capabilities.

The MSc Research Project is a significant amount of work as it comprises from one-third to two-thirds of the credits for the masters.  The research project will have at it core an applied component and incorporate the collecting and analyzing data for improving decision making purposes.

Pathway 1 : 60 credits taught with a 30 credit Research project

Semester 1
  • Digital Forensics
  • Secure Communication and Cryptography
  • Network Security
Semester 2
  • Research Skills and Ethics


  • Biometrics
  • Secure Programming
  • Application Security
  • Business Continuity and Cloud Security
  • Cyber Crime Malware
  • Security Intelligence

Note: Choose any two electives

  • MSc Research Project

Students must complete 6 modules and a thesis. All Modules are 10 ECTS Credits. The Research project is 30 ECTS Credits.

Pathway 2: 30 credits taught with a 60 credit Research project

Semester 1

Group Elective 1:

  • Digital Forensics
  • Secure Communication and Cryptography
  • Network Security

Group Elective 2:

  • Cyber Crime Malware
  • Secure Programming
  • Application Security

Group Elective 3:

  • Security Intelligence
  • Business Continuity and Cloud Security
  • Biometrics
Semester 2
  • MSc Research Project
90 ECTS credits to be comprised of the Research Project (60 ECTS credits) with the balance made up of 30 credits to be taken from one of the group electives (GE1, GE2 or GE3) in semester 1.

A choice of modules across streams will be offered over an academic year.
Electives will only be available at the discretion of the institute, subject to availability of lecturing staff and sufficient expression of interest from students.


Network Security

Module Aims:

  • Investigation of core security technologies and security policies to mitigate risks.
  • Ability to review procedures for installation, troubleshooting and monitoring of network devices to maintain integrity, confidentiality and availability of data and devices.
  • Knowledge of the technologies that underpin the deployment and maintenance of a secure network.

Learning Outcomes:

  • Understand the requirements of industrial standards like ISO 27002 in compliance for securing computer networks.
  • Implement, monitor and maintain a secure network consisting of enterprise level routers and switches
  • Understand the role of AAA and IPSec in securing networks.
  • Understand how to design and implement firewall technologies that complement network policies in securing the perimeter of a network.
  • Describe methods for implementing authentication, data confidentiality and integrity such as Public Key Cryptography and the use of VPNs.
  • How to develop a comprehensive security policy for any organisation

Cyber Crime Investigation

Module aims:

  • Research into criminal activities on the Internet and computer crime legislation.
  • Review the Computer Forensics Investigative Methodology
  • Investigation of computer network intrusion activities and detection tools.
  • Development of preventative measures to safeguard computers and their users.

Learning outcomes:

  • Develop skills in tracing illegal activity on computers.
  • Understand the Forensics Investigative Procedures for gathering evidence
  • Analyze the software tools and methods currently available for finding illegal activities on computer disks and in computer networks.
  • Research the criminal activity on the Internet and available tools to prevent such activity.


Business Continuity and Disaster Recovery

Module aims:

  • Analysis of IT failure modes and how such failures can be mitigated
  • Research into disaster recovery technologies in an IT environment
  • Development of  tools and systems for building redundancy into IT systems
  • Investigation of the role of high speed resilient network infrastructures in providing for business continuance

Learning outcomes:

  • Develop the knowledge required to analyze IT infrastructures and develop efficient plans for deploying system redundancy and disaster recovery technologies to meet business needs.
  • Research mandatory business continuance requirements and data protection requirements for various industries and service providers.
  • Investigate the design and implementation of strategies and systems for protecting critical information assets.
  • Research various network technologies and topologies for system redundancy, resilience and high availability.


Secure Communications & Cryptography

Module aims:

  • Identify vulnerabilities in data and voice communication systems
  • Understand the different types of encryption processes available
  • Learn how to secure data and voice communications systems

Learning outcomes:

  • Select a secure communications solution from range of possibilities based on system.
  • Understand how to implement proper secure communications.
  • Analyze existing technologies and future new technologies.
  • Research vulnerabilities in systems and identify best solutions.


Digital Forensics

Module aims:

  • Investigate the Digital Forensics Investigative Procedures
  • Research how user activity can be tracked on a digital device
  • Comparison of tools and techniques for digital forensics

Learning outcomes:

  • Develop skills in applying digital forensics investigation techniques
  • Understand how information is stored and used on digital devices
  • Analyze digital devices to establish user activity
  • Research the development of new devices and technologies and how current digital forensics methods will apply to them.


Module Aims:

  • Cover a broad range of approaches to biometrics reflecting both fundamental principles and the current state-of-the-art.
  • To develop an understanding of the fundamental components common to all biometric systems.
  • To develop the student’s ability to design, implement, test and evaluate biometric systems that conform to international standards.
  • To develop the students ability to carry out research in biometrics.

Learning Outcomes:

  • Modern biometric technologies and The generic components of a biometric system.
  • Pattern recognition and feature extraction in biometrics, Voice and face recognition systems.
  • Understand ethical and legal issues associated with biometrics.
  • Select the most appropriate biometric for a given application.
  • Testing and evaluating biometric systems with standard test datasets.
  • Work with signal and image acquisition systems, Deploying biometric systems.
  • Complete documentation to accompany designed biometric systems.
  • Defend proposed biometric systems in an oral presentation.


This module aims:

  • To give students the experience of an individual computing project at postgraduate level
  • To give students responsibility for substantial independent working and a full project life cycle, from problem specification through to implementation and evaluation


How to apply?

Apply Online (EU Applicants only)

Apply Online (Non-EU Applicants)


For further details please contact the marketing team on 01 885 1530 or e-mail:

What our students say...


"The course matched with my career progression. The professor helped me a lot to understand the course and I also got a scholarship because of my qualification in India. I made the right decision coming here. It's so open, lecturers are like friends, you can just talk to them and approach them any time. My friends and classmates are so approachable too ."

Patrick Kurmana ,
Higher Diploma in Computing

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