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Computing - Security & Forensics

The MSc in Computing (Security & Forensics) programme focuses on producing computing graduates that will possess the knowledge, skills, and experience to conduct complex, data-intensive forensics examinations involving multiple operating systems, file types, cloud, and mobile operating systems.

Digital forensics, also known as computer and network forensics is the application of science to the identification, collection, examination, and analysis of data while preserving the integrity of the information and maintaining a strict chain of custody for the data. Every organisation and user needs to have the capability to perform digital forensics. Without such a capability, organisations and users will have difficulty determining what events have occurred within their systems, networks and mobile devices, such as the exposure of protected, sensitive data. Digital forensics involves the recovery of digital evidence from a device under forensically sound conditions using accepted methods. Mobile device forensics is an evolving speciality in the field of digital forensics and the programme has a particular focus in this area as the use of mobile devices including phones, tablets, etc is becoming so prevalent and widespread.

Who Should Apply?
Individuals with a qualification in computer science or a related discipline who wish to extend their technical skills to specialise in the security and forensics of computer devices, primarily in the mobile space.

Entry requirements

The minimum admission requirements for entry to the MSc programme are a BSc (Honours) in Computer Science or a related discipline at level 2.1 or at level 2.2 with at least 2 years of relevant work experience. Applicants with other qualifications at Honours 2.1 level or better and relevant experience may also be considered.

Applicants must present a minimum IELTS English proficiency score of 6.5 overall with at least level 6.0 for each component.

Note: Due to the considerable competition for our postgraduate programmes satisfying the minimum entry requirement is not a guarantee of a place. Depending on the programme of study applications will be assessed based on academic grades and any work/life experience. Applicants may also be required to attend for interview.


Full Time - 3 semesters, Part Time - 2 Years (min).

Programme Code: DT228A (FT)/ DT228B (PT).

Timetable / Hours
For the full-time route, teaching hours will take place Monday to Friday. Attendance on occasional Saturdays is required for the Case Studies module and evening attendance is required for some modules. In general students complete 30 ECTS in Semester 1 (Sept-Jan), 30 in Semester 2 (Feb-May) and 30 in Semester 3 (Sept-Jan) for the dissertation. For those who wish to complete in one calendar year the dissertation can be taken over the summer months (June-Sept) with approval.

For the part-time route, teaching will be in the evening with classes starting at 18.30. Attendance on Saturdays is required for some critical skills modules. Part-time students can progress through the programme at their own pace. The recommended pathway to complete the part-time programme in 2 years requires either attendance for two evenings with Saturdays per week or for three evenings per week in each semester.

Careers or further progression

Students can choose to exit with a Postgraduate Certificate on completion of 30 ECTS or a Postgraduate Diploma on completion of 60 ECTS.

Students who wish to complete an MSc dissertation to achieve the MSc award will be eligible to do so on successful completion of all core modules and the achievement of an average grade of at least 50% over all core modules.

Further enquiries

School of Computing
College of Sciences and Health
DIT Kevin Street, Dublin 8
School Contact: Dr Fred Mtenzi
T: 01 402 4954

Subjects taught

Specialist Core Modules:
Mobile Device Forensics
Penetration Testing and Vulnerability Analysis
Secure Systems Programming
ICT Law & Professional Issues

Critical Skills Core Modules common to all MSc in Computing specialisms:
Problem Solving, Communication and Innovation
Case Studies in Computing
Research Writing & Scientific Literature
Research Methods and Proposal Writing

Option Modules (Two required):
Geographic Information Systems
Spatial Databases
Ubiquitous Computing
Universal Design
Man and Machine
Programming for Big Data

Students can also take specialist core modules from the other MSc programmes as option modules, subject to availability and schedules.


College of Sciences and Health, DIT Kevin Street, Dublin 8.

Qualification Awarded: MSc (Computing - Security & Forensics) or PG Dip (60 ECTS credits) or PG Cert (30 ECTS credits) Level 9

Application date

Closing Date: The general closing date is 27th April 2018. Please note that late applications may be accepted subject to availability.

Enrolment and start dates

Start Date: September 2018

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