Computer Science - Future Networked Systems

Course Description
The new M.Sc in Computer Science has a common set of entry criteria and leads to a Master's degree in Computing specializing in one of four exciting areas: Data Science, Intelligent Systems, Graphics and Vision Technologies and Future Networked Systems.

The course is designed and taught by staff who are renowned research leaders in their fields. The course content is inspired by their cutting-edge work as well as their contacts with leading industry researchers around the globe.
We expect our graduates to be in high-demand for top-end research and development positions within leading multi-national companies and from startup companies alike. There will also be opportunities to progress to PhD study with many funded positions available locally.

Future Networked Systems
Computer networking has transformed society over the past 20 years and is continuing to enable new advances from social networking through Internet-of-Things to Cloud computing. This strand builds on research activity within the CONNECT national research centre and a long history of innovation and start-up companies at the school.

Course Content
In the first term, all students gain the necessary skills in a number of Core Modules common to the M.Sc Programme. These include Research Methods (to enable students to produce their own dissertation), Innovation (to equip students with skills in company formation or innovating within a large company) and Machine Learning (a foundational technique for each of the specializations). In addition, students will make a start on specialist modules in their chosen strand. During the 2nd term, students begin foundational work on their dissertation, and immerse themselves in further specialist modules of their chosen strand. The Summer term will be exclusively focused on the Dissertations, doing experimental work, building prototypes and writing up the work.

Along with the core modules in the first term, you will choose one module from a list of two. These include Internet of Things, where we explore the technology underlying this burgeoning area including middleware, service discovery and composition and sensor and network virtualization. Practical exercises will lead you through design, implementation and deployment of an end-to-end IoT application. In Next Generation Networks, we explore future trends in fixed and wireless communications networks including next-generation access, LTE and Software-Defined network technologies. Scalable Computing looks at how applications and workloads can be serviced by warehouse-scale computing facilities. The module will explore cloud architectures, resource management and security considerations.

A 10-credit core module in Advanced Software Engineering, running over both semesters, will explore the methods and techniques involved in large-scale software development encompassing Agile and eXtreme Programming (XP), Test-driven development and Re-factoring. Finally, you can choose one subject (5 credits) from a pool of general M.Sc modules allowing you to complement your core interests in Future Networked Systems.

Arising from research within the school's Smart & Sustainable cities research centre, the Urban Computing module in second term will explore the techniques for gathering urban data, management of that data, visualization and alerts and will involve the development of a complete smart city application. The Security & Privacy module will complement other modules covering topics such as Authentication, Digital Rights Management Cloud security and user privacy. Distributed Systems will deal with concurrency, the science of distributed transactions, web services and advanced application frameworks.

Finally, Options 2 and 3 will allow you to choose further complementary electives from our pool of M.Sc modules.
By April, you will have chosen your dissertation topic, picked and consulted with your chosen supervisor and be ready to develop substantial time researching and prototyping your work. We expect that the top projects should deliver publishable quality papers over this period.

Entry requirements

The MSc programme aims to produce very high quality graduates that can become leaders in high-tech industry and academic research. It will be intensive, demanding and rewarding.

For entry to the course, we require the following:
• A II.1 (60-69%) grade or higher from a reputable university in Computing or strongly related discipline
• A standard of English language competence that will allow full participation in coursework, classwork and other activities - this means an IELTS level of 6.5 overall with no single component below 6.0
• You need to be able to be fully competent in programming in C, C++ or Java [for Graphics and Vision Technologies, you will need to have or acquire competence in C++]
• A strong work ethic and the resolve to strongly engage with the demanding programme. This means, for example, that it will be extremely difficult to do the course while holding part-time employment.

Subjects taught

Future Networked Systems Strand Modules:
Michaelmas Term (Sept-Dec)
• Machine Learning
• Research Methods and Innovation
• Advanced Software Engineering
• Scalable Computing
• Network Systems Elective (NS Elective 1)
• Option 1

Hilary Term (Jan-March)
• Advanced Software Engineering (continued)
• Distributed Systems
• Urban Computing
• Security & Privacy
• Option 2
• Option 3

Summer Term (April-August)
• Dissertation
NS Elective 1 is selected from: Internet of Things OR Next Generation Networks. Options 1, 2 and 3 are elective modules chosen from NS Electives or other M.Sc strands. More detail on each individual module is available at:


1 year full-time.

Enrolment dates

Next Intake September 2020

More details
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  • Qualifications

    Degree - Masters (Level 9 NFQ)

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