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Trinity College Dublin

Dublin , State ,Ireland

Computer Science - Data Science (P.Grad.Dip)

Course Description
The 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, Augmented & Virtual Reality and Future Networked Systems. The course is designed and taught by staff who are leading experts in their fields, and 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 high-end research and development positions within leading multi-national companies and start-up companies alike. In some cases our graduates have gone on to take up funded PhD studies at TCD.

Data Science or Big Data has become a hugely important topic in recent years, finding applications in Healthcare, Finance, Transportation, Smart Cities and elsewhere. In this strand, Trinity's leading experts in this field will guide you through how to gather and store data (using IoT and cloud computing technologies), process it (using advanced statistics and techniques such as machine learning) and deliver new insights and knowledge from the data.

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

In the first term (September - December), 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, learning the key techniques of Data Mining & Analysis including classification techniques, neural networks and ensemble methods with practical work in the R language. Additionally, students discover how large data sets might be gathered and manipulated in large cloud computing facilities in the Scalable Computing module.

During the second term (January – March), students begin foundational work on their dissertation, and immerse themselves in further specialist modules of their chosen strand. The module on Optimisation Algorithms for Data Analysis will explore topics such as Convex optimisation, large dimension simulation. Applied Statistical Modelling will deal with many popular techniques such as Markov Chains and Monte Carlo Simulation with an opportunity to apply these techniques to a real data set. Students will learn how to reveal the insights derived from large data sets in the Data Visualisation module and cover essential crypto and security concerns of data in the Security & Privacy module. In addition, you can choose three additional electives (one in Term 1 and two in Term 2) from a pool of modules offered in the other strands of the M.Sc. programme.

Intakes

  • Sep

Application Processing Time in Days: 60

Minimum English Language Requirements

English Level Description IELTS (1.0 -9.0) TOEFL IBT (0-120) TOEFL CBT (0-300) PTE (10-90)
Expert 9 120 297-300 86-90
Very Good 8.5 115-119 280-293 83-86
Very Good 8 110-114 270-280 79-83
Good 7.5 102-109 253-267 73-79
Good 7 94-101 240-253 65-73
Competent 6.5 79-93 213-233 58-65
Competent 6 60-78 170-210 50-58
Modest 5.5 46-59 133-210 43-50
Modest 5 35-45 107-133 36-43
Limited 4 32-34 97-103 30-36
Extremely Limited < 4 < 31 < 93 < 30

Job Opportunity Potential

If you are an international student studying at Trinity, you might be considering internship and graduate work in Ireland, in your home country, or elsewhere. This section provides information for Non EU students on working in Ireland during and after your studies. For information and resources to support an international job search, see our Devex resource which includes international job search advice and information.

Employers value candidates who have more to offer than a good degree with high grades. They look for students who are well rounded and who have experience outside the classroom. Search for and take advantage of opportunities to gain experience, develop your skill set, and gain a clearer picture of what you like and don't like in terms of career options.

For example, you can get involved in some of the many student clubs and societies in college, volunteer or get a part time job. Remember that voluntary work is as valuable as paid work on your CV or resume - it's a great way to demonstrate your skills to future employers. Have a look at the TCD Civic Engagement website and check out volunteering opportunities in Ireland and abroad.

PSW Opportunity

2 Years

Admission Requirement / Eligibility Criteria

Postgraduate work in Trinity College Dublin is academically challenging and rewarding. As a result the University has high academic entry requirements.

Applicants will need to hold at least a 2.1 honors degree (60%) from an Irish university, or an equivalent result from a university in another country. If you have any queries in relation to your eligibility for programmes,.

For More Information Please Connect Our PSA Counselor