Computer Science - Future Networked Systems (M.Sc./P.Grad.Dip)

1 year full-time
25 Places

Overview

Course Overview

This one year full-time MSc programme is designed for graduates from a computing or closely related undergraduate background.

The course deals with how things become smart and connected as software systems are more and more embedded in our everyday environments, from mobile social networking to managing city resources such as road traffic. Dealing with such large-scale, cyber-physical and distributed systems requires novel approaches that address timeliness, safety, privacy and scale challenges. The course equips students with the skills and knowledge to tackle such challenges and take up careers in Computer Networking and related areas, which have transformed society over the past 30 years and continue to enable new advances from Social Networking through Internet-of-Things to Cloud computing.

Course Content and Structure

The MSc is a full-time course taught over an entire calendar year (September to August), with two 12-week semesters of taught modules, involving attendance at labs and lectures, followed by dedicated time for research work over the remaining summer months for the MSc Dissertation.

The MSc course comprises 90 credits, based on the European Credit Transfer and Accumulation System (ECTS). The following key modules are taken by all students on the course:

  • Internet of Things (5 ECTS)
  • Next Generation Networks  (5 ECTS)
  • Scalable Computing  (5 ECTS)     
  • Security & Privacy  (5 ECTS)        
  • Distributed Systems  (5 ECTS)
  • Urban Computing  (5 ECTS)         
  • Machine Learning  (5 ECTS)         
  • Advanced Software Engineering  (10 ECTS)
  • Research and Innovation  (5 ECTS)                          

Furthermore, students take 10 ECTS of individually chosen elective modules from a pool of options, and all students complete a substantial 30 ECTS Research Dissertation which comprises a third of the entire course. Students may exit with a Postgraduate Diploma (PGDip) in Computer Science, upon successful completion of 60 ECTS of modules (not including the Research Dissertation).

Click Here for further information on modules/subject.

Please note that the course content is updated on an annual basis and some minor changes occur from year to year.

Career Opportunities 

We expect graduates to be in high demand for high-end research and development positions within leading multi-national companies and start-up companies alike. Previous graduates have gone on to work in Software Engineering, Financial Services, Web Technology, Mobile Communications and other computing related areas in companies including Facebook, Microsoft, Citi and Genesys. In some cases, our graduates have gone on to further postgraduate research, taking up funded PhD positions at TCD or other universities in Ireland abroad.

Study Computer Science (M.Sc./P.Grad.Dip.) at Trinity

Overview of the MSc/PGDip in Computer Science programme and its four specialized strands: Augmented and Virtual Reality, Future Networked Systems, Intelligent Systems and Data Science

Course Details

Number of Places

25 Places

Next Intake

September 2023

Course Director

Dr. John Dingliana

Closing Date

31st July 2023

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Admission 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 grade of at II.1 (Upper Second Class Honours) or higher from a reputable university, in Computing or a strongly related discipline.
• A standard of English language competency that will allow full participation in coursework, classwork and other activities. Specifically, if English is not your first language, you are required to submit an English competency certificate with a minimum IELTS level of 6.5 or equivalent in order for your application to be considered. For details on alternative English Tests accepted, please visit TCD’s International Students Entry Requirements website.
• You need to be able to be fully competent in programming. All candidates will have to complete a programming test in C, C++ or Java before being offered a place on the course. Some modules on the course may also require programming in Python and other languages.
• 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. Students should expect to engage in a large amount of practical work during the course.
• Please note that the above are only the minimum requirements for entry. The admissions process is competitive and higher scores may be required to secure a place on the course

Course Fees

Click here for a full list of postgraduate fees

Get in Touch

Telephone Number

+353-1-896 2418

postgraduate@scss.tcd.ie

Website

 https://www.scss.tcd.ie/postgraduate/msc-cs/

Register Your Interest

Register your interest in postgraduate study at Trinity College Dublin, the University of Dublin.

As Ireland’s leading university, we offer a wide range of postgraduate programmes at masters, diploma and certificate level.

Trinity is an international university steeped in history, with a reputation for excellence in education, research and innovation.

Register Your Interest

Testimonials


“Having majored in computers and statistics, the field of data science always interested me a lot. First, I heard about the M.Sc. Computer Science programme at Trinity while attending an Irish university fair in India. The one thing that struck me about the course at Trinity, and which separated it from all other universities, was the vibrant modules within the programme. The courses were carefully structured to give students an overall knowledge about their specialisation. On reading further about the brilliant and learned faculty in the university online, I decided to pursue a Master’s programme there.”

Siddharth Sheshadri

M.Sc. in Computer Science Graduate. Current Data Scientist at Optum.