The minimum entry requirement for standard entrants to the Master of Science in Computing is 2nd Class Honours Grade 2 (GPA 2.5 or equivalent), in a Bachelor of Science in Computing (level 8) course, or equivalent.
Students progressing through the Higher Diploma in Science in Computing (BN509) who wish to enter the M.Sc. in Computing must attain a 2nd Class Honours Grade 2 (GPA 2.5) on the course.
In the event of a student not attaining this standard level , students must achieve an acceptable standard for progression by other means approved by QQI.
The acceptance of candidates with third class honours degrees and appropriate work experience and industrial certification on this course will be allowed provided there is evidence that the candidate can cope with the learning objectives of the course.
Candidates may be interviewed to assess their suitability to undertake the level of work required and to assess their commitment to succeeding on the Masters Programme.
The Masters in Applied Cyber Security is designed to produce highly knowledgeable and skilled graduates to counter the cyber security threat. 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 MSc in Applied Cyber Security will also have the opportunity to 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.
The course is 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 research skills.
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.
The MSc in Applied Cyber Security will give the skills and knowledge to secure business and personal data and allow graduates to work as security professionals in any of the business and industry sectors.
Former graduates currently work in Deloitte, Integrity360, Fidelity Investiments, Triology, Forcepoint, Rits, Espion, BH-Consulting, Liberty IT, Cobalt Technology, Ward Solutions and larger international companies like Qualcomm, IBM, Deloitte, EY, KPMG, Grant Thornton, Amazon, Google, Microsoft, Ericsson, Zurick Insurance and many more.
Year 1 Semester 1
- Digital Forensics
- Secure Communications & Cryptography
Year 1 Semester 2
- Network Security
- Cyber Crime Malware
Year 2 Semester 3
- Business Continuity Management
- Research Skills & Ethics
Year 2 Semester 4
- MSc Research Project
Note: Students must complete 6 modules and a thesis. All Modules are 10 ECTS Credits. The MSc Research Project is 30 ECTS Credits. The order of Module Delivery may differ from the listing above.
An award of ‘Postgraduate Diploma in Science in Computing’ may be granted if learners leave this programme having completed 6 taught modules and attained 60 credits with a minimum GPA of 2.00.
Online - Tuesday and Thursday 6.00pm -10.00pm
Apply for this course online at https://www.itb.ie/StudentCategories/parttime.html. The closing date to apply for this course was 7th June 2019.
I had noticed that tools in Data Mining could be used to learn clusters and hence to automate my work tasks. I decided to take the course and to go a little deeper . Since I took the course, I have been able to exploit many algorithms to learn patterns and hence assign labels/categories to things in a highly automated way. In addition to the new skills learned I managed to re-kindle skills in Analytics, Software Engineering, Big data and visualisations that I had worked on before, but the course also helped me to hone these skills.
The lectures were delivered online so there was no need to attend in person, but there was always the option to arrange a meeting with a tutor or project supervisor if you so wished or needed that extra support. Each evening is recorded and available on Moodle and hence you never really lose out if you have a conflict. You can listen to the lecture when it suits you. Although, if you wish to ask a question it is best to try to attend on the event.
When combining a day job with a course, it is essential to have a clear line of sight of activities due at the start of each module. The roadmap is very clearly set-out at the beginning of a module and there was a definite plan for the activities. The course is exciting. If your work life involves Spreadsheets, SQL statements, VLOOKUP, PowerPoint charts, then this course is for you. The course allows you to update your skills and knowledge in a field that is currently very popular. Deep Learning, Advanced Analytics, Predictions, Scoring, ETL (extract transform load) and visualisations will be demonstrated to you naturally and understandably. You will gain practical experience, do projects and importantly be able to use these techniques in your day job. The highlight for me was doing the Research Project and taking final delivery of my Thesis.
I enjoyed the course and gained a tremendous benefit from doing it. I feel so much more confident now tackling big data jobs, drawing charts, or using Predictive Analytics.
Graduate Master of Science in Computing (Applied Data Science & Analytics)