Computer Science - Intelligent Systems (P.Grad.Dip)
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, 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.
The Intelligent Systems Strand focuses on smart, interactive web applications and systems, which are becoming an integral part of our daily lives at home, in the workplace, and in social interaction. Designing and building these systems requires expertise in artificial intelligence, human language understanding and generation, web systems and applications, data analytics and knowledge engineering. This strand is closely linked to the school's research groups involved in the ADAPT centre for Digital Content Technology.
The marketplace of the future will see intelligent behaviour becoming the standard for computer systems. The courses within the Intelligent Systems strand will provide graduates with the ability to specialise in intelligent adaptive systems and artificial intelligence, providing them with the necessary skills to become leaders in these fields. Employment opportunities exist in a wide range of areas such as internet-based services, financial services, mobile communication companies. Students will also benefit from the comprehensive research scope, networks, and wealth of research achievements in both the School and the ADAPT Centre.
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. They will gain a grounding in Information Retrieval & Web Search, and examine, in-depth, the theoretical and practical issues involved in searching the web or any or large corpus of documents, including text processing, ranking scores, classification etc. In Knowledge & Data Engineering, they will learn about the semantic web including model design, reasoning and querying. All students take a 10-credit module in Advanced Software Engineering, taught over two terms, which explores the methods and techniques involved in large-scale software development encompassing Agile and eXtreme Programming (XP), Test-driven development and Re-factoring.
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 term will deal with Artificial Intelligence techniques, including models of human cognitive architectures, knowledge representation techniques such as Ontologies and models of natural language processing. This module is complemented by the Text Analytics module which demonstrates how finite-state methods, model theory and category theory can be used to analyse content and determine sentiment. The Adaptive Applications module is hands-on, exploring how applications can adapt to suit individual users. In addition, students 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.
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)|
|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.
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,.
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- Course Type: Full Time
- Course Level: Post Graduate Diploma or Certificate
- Duration: 01 Year
Total Tuition Fee:
Annual Cost of Living: 12000 EUR
Application Fee: 55 EUR
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