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Computer Science - Intelligent Systems

1 year full-time

Apply

To apply, click on the relevant Apply Link below

Get In Touch

Course Director

Prof. Séamus Lawless 

Telephone Number

+353-1-896 2418

postgraduate@scss.tcd.ie

Website

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

Course Description

The new MSc 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 ScienceIntelligent SystemsGraphics 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.

In the first semester, students gain the necessary skills in 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 their specialist modules in their chosen strand. 
 

During the 2nd semester, students will begin foundational work on their dissertation, and immerse themselves in modules of their chosen strand.
 

The 3rd semester will be exclusively focussed on the Dissertations, doing experimental work, building prototypes and writing up the work.

We expect our graduates to be in high-demand for top-end research and development positions within leading multi-national companies and from start-up companies alike.  There will also be opportunities to progress to PhD study with many funded positions available locally.

Intelligent Systems Strand

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.

Modules:

Michaelmas Term (Sept-Dec)
Machine Learning
Information Retrieval & Web Search
Knowledge & Data Engineering
Research Methods
Innovation
Option 1

Hilary Term (Jan-March)
Text Analytics
Artifical Intelligence
Adaptive Applications
Advanced Software Engineering
Option 2
    
Summer Term (April-August)
Dissertation

Option 1 and Option 2 are elective modules selected from the other strands.


Career Benefit
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.


Course Content
Along with the core modules in the first semester, you will gain a grounding in Information Retrieval & Web Search, you will 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, you will learn about the semantic web including model design, reasoning and querying.  Finally, you can choose one subject (5 credits) from a pool of MSc modules allowing you to complement your core interests in Intelligent Systems.

All students  in the 2nd semester will cover a 10 credit  course in Advanced Software Engineering which explores the methods and techniques involved in large-scale software development encompassing Agile and eXtreme Programming (XP), Test-driven development and Re-factoring. Artifical Intelligence techniques including models of human cognitive architectures, knowledge representation techniques such as Ontologies and models of natural language processing.  This course is complemeted 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.  Finally, Option 2 allows you to once again broaden your core skills in Intelligent Systems with a module chosen from the other strands in this MSc programme.

By the time semester 3 has come along, you will have chosen your Dissertation topic, picked and consulted with your chosen supervisor and be ready to develop substantial time conducting research and prototyping your work.  We expect that the top projects should deliver publishable quality papers over this period.  At the end of the year, all projects will be showcased to an industry audience comprising indiginous, small & medium sized businesses and multinational companies.

Course Details

Duration

1 year full-time

Next Intake

September 2019

Closing Date

31 July 2019

As a large number of applications for the MSc in Computer Science – Intelligent Systems have already been received, regrettably we are currently unable to accept any further applications. However, if places become available applications will be reopened at the end of March/early April

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 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. For futher details on this please visit the International Students Entry Requirements website
  • 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.

Apply

To apply, click on the relevant Apply Link below

Get In Touch

Course Director

Prof. Séamus Lawless 

Telephone Number

+353-1-896 2418

postgraduate@scss.tcd.ie

Website

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