Taught course

Computer Science (Future Network Systems)

Trinity College Dublin · Engineering, Environment and Emerging Technologies

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 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

Months of entry


Course content

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.

Fees and funding

International students

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Dr. John Dingliana
+353-1-896 2418