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Each year more than 4,000 choose NUI Galway as their University of choice. Find out what life at NUI Galway is all about here.
About NUI Galway
About NUI Galway
Since 1845, NUI Galway has been sharing the highest quality teaching and research with Ireland and the world. Find out what makes our University so special – from our distinguished history to the latest news and campus developments.
Colleges & Schools
Colleges & Schools
NUI Galway has earned international recognition as a research-led university with a commitment to top quality teaching across a range of key areas of expertise.
- Business & Industry
- Alumni, Friends & Supporters
At NUI Galway, we believe that the best learning takes place when you apply what you learn in a real world context. That's why many of our courses include work placements or community projects.
Computer Science and Information Technology
We depend on electronic devices, such as computers and mobile phones, computer software and networks to store, process, transmit, retrieve and manipulate information.
Students will cover the technology used in these devices and will focus on the development of the software applications that make these devices useful.
The programme has a flexible course structure, where students can choose to study a range of Next-Generation Technology areas including: Digital Media and Games, Enterprise Informatics, Energy Informatics, Computational Mathematics, Scientific Computing and Medical/ Bio-informatics.
These core subjects provide a solid theoretical and applied background in Computer Science and Information Technology.
Applications and Selections
Who Teaches this Course
Requirements and Assessment
For A-Levels a Grade D in A-Level Mathematics or Grade B in O-Level Mathematics is required.
Next start date
A Level Grades (2017)
ABC & a (AS) or equivalent combination
Next start date
Mode of study
Bachelor of Science (Honours) Computer Science and Information Technology
- Computer Systems I
- Fundamentals of Electronic Engineering
- Next-Generation Technologies I
- Programming I
- Algorithms I
- Principles of Physics
- Computer Systems II
- Professional Skills
- Introduction to Modelling
- Software Engineering
- Databases I
- Algorithms II
- Artificial Intelligence
- Game Design & Programming I
- Information Systems in Health Care
- Programming II
- Mathematical Physics
- Network and Communications
- Game Design & Programming II
- Programming Paradigms
- Programming III
- Formal Methods
- Software Engineering and Project Management
- Human Computer Interaction
- Database II
- Next Generation Technologies III
- Applied Probability and Statistics
- Computer Technology of Applied Maths
Students will undertake an eight month (January - August), off-campus work placement following completion of their third year of study. In the event that no external placement is available, students will be given projects on campus. This Professional Experience Programme gives students an opportunity to work on projects relevant to their course of study and significantly improves their chances of obtaining employment after graduation.
- Real Time Systems
- Distributed Systems
- Advanced Professional Skills
- Modern Information Management
- Image Processing
- Software Engineering
- Final Year Project
- Digital Media and Games
- Energy Informatics
- Scientific Computing
- Enterprise Informatics
- Computational Informatics
Modules for 2017-18Curriculum information relates to the current academic year (in most cases).
Course and module offerings and details may be subject to change.
Glossary of Terms
- You must earn a defined number of credits (aka ECTS) to complete each year of your course. You do this by taking all of its required modules as well as the correct number of optional modules to obtain that year's total number of credits.
- An examinable portion of a subject or course, for which you attend lectures and/or tutorials and carry out assignments. E.g. Algebra and Calculus could be modules within the subject Mathematics.
- Some courses allow you to choose subjects, where related modules are grouped together. Subjects have their own required number of credits, so you must take all that subject's required modules and may also need to obtain the remainder of the subject's total credits by choosing from its available optional modules.
- A module you may choose to study.
- A module that you must study if you choose this course (or subject).
- Required Core Subject
- A subject you must study because it's integral to that course.
- Most courses have 2 semesters (aka terms) per year, so a three-year course will have six semesters in total. For clarity, this page will refer to the first semester of year 2 as 'Semester 3'.
Year 1 (60 Credits)Optional MA160: Mathematics - 10 Credits - Semester 1
Optional MA190: Mathematics (Honours) - 10 Credits - Semester 1
Required CT1112: Professional Skills I - 5 Credits - Semester 1
Required CT101: Computing Systems - 10 Credits - Semester 1
Required CT102: Algorithms & Information Systems - 10 Credits - Semester 1
Required EE130: Fundamentals of Electrical & Electronic Engineering I - 5 Credits - Semester 1
Required CT103: Programming - 10 Credits - Semester 1
Optional PH150: Introduction to Physics - 5 Credits - Semester 2
Required CT1113: Next-Generation Technologies I - 5 Credits - Semester 2
Year 2 (60 Credits)Optional MA2286: Differential Forms - 5 Credits - Semester 3
Required MA284: Discrete Mathematics - 5 Credits - Semester 3
Required CT216: Software Engineering I - 10 Credits - Semester 3
Required CT2106: Object-Oriented Programming - 5 Credits - Semester 3
Required ST237: Introduction to Statistical Data and Probability - 5 Credits - Semester 3
Required CT230: Database Systems I - 5 Credits - Semester 3
Required CT213: Computer Systems & Organization - 5 Credits - Semester 3
Optional MA283: Linear Algebra - 5 Credits - Semester 4
Optional CT248: Introduction to Modelling - 5 Credits - Semester 4
Optional MA203: Linear Algebra - 5 Credits - Semester 4
Optional CT255: Next Generation Technologies II - 5 Credits - Semester 4
Optional MA2287: Complex Analysis - 5 Credits - Semester 4
Required CT2108: Networks and Data Communications 1 - 5 Credits - Semester 4
Required CT2109: Object Oriented Programming: Data Structures and Algorithms - 5 Credits - Semester 4
Year 3 (60 Credits)Optional ST235: Probability - 5 Credits - Semester 5
Optional CT3111: Next Generation Technologies III - Internet of Things - 5 Credits - Semester 5
Optional CT318: Human Computer Interaction - 5 Credits - Semester 5
Optional CT331: Programming Paradigms - 5 Credits - Semester 5
Optional MA341: Metric Spaces - 5 Credits - Semester 5
Optional MA385: Numerical Analysis I - 5 Credits - Semester 5
Optional MA3343: Groups - 5 Credits - Semester 5
Required CT3532: Database Systems 2 - 5 Credits - Semester 5
Required CT3531: Networks and Data Communications 2 - 5 Credits - Semester 5
Required CT5106: Software Engineering 2 - 5 Credits - Semester 5
Required CT326: Programming III - 10 Credits - Semester 5
Required CT3112: Professional Skills - 5 Credits - Semester 5
Required CT3534: Professional Experience Programme in Information Technology - 10 Credits - Semester 5
Required CT3533: Organisational Innovation - 5 Credits - Semester 5
Year 4 (60 Credits)Optional MA416: Rings - 5 Credits - Semester 7
Optional MA436: Final Year Project - 10 Credits - Semester 7
Optional CT404: Graphics & Image Process - 5 Credits - Semester 7
Optional CT422: Modern Information Management - 5 Credits - Semester 7
Optional CT561: Systems Modelling and Simulation - 5 Credits - Semester 7
Optional CT413: Final Year Project - 10 Credits - Semester 7
Optional MA490: Measure Theory - 5 Credits - Semester 7
Optional MA3101: Euclidean and Non-Euclidean Geometry - 5 Credits - Semester 7
Required CT436: Advanced Professional Skills - 5 Credits - Semester 7
Required CT421: Artificial Intelligence - 5 Credits - Semester 7
Required CT417: Software Engineering III - 5 Credits - Semester 7
Required CT475: Machine Learning & Data Mining - 5 Credits - Semester 7
Optional CS4423: Networks - 5 Credits - Semester 8
Optional MA3491: Fields and Applications - 5 Credits - Semester 8
Optional MA342: Topology - 5 Credits - Semester 8
Optional MA236: Statistical Inference - 5 Credits - Semester 8
Optional CT437: Computer Security and Forensic Computing - 5 Credits - Semester 8
Optional MA4344: Advanced Group Theory - 5 Credits - Semester 8
Optional CS402: Cryptography - 5 Credits - Semester 8
Required CT420: Real Time Systems - 5 Credits - Semester 8
Required CT414: Distributed Systems & Co Operative Computing - 5 Credits - Semester 8
Further EducationGraduates can pursue postgraduate study as Masters or PhD students. Directly after their undergraduate courses, students can earn a Master of Science (MSc) Degree, which involves either course work with a minor thesis, or research work with a major thesis, or students can enter a PhD programme.
Why Choose This Course?
Who’s Suited to This Course
Related Student Organisations
Fees: Student Contribution
Fees: Student levy
Fees: Non EU
- Tuition: may be paid by the Irish Government on your behalf if you qualify for free tuition fees see - free fee initiative.
- Student Contribution: €3,000 - payable by all students but may by paid by SUSI if you apply and are deemed eligible for a means tested SUSI grant.
- Student Levy: €224 - payable by all students and is not covered by SUSI.
What Our Students Say
Alan Cunningham | BSc (Information Technology)
I chose the IT undergraduate course because I was interested in technology and the software behind it. Through the course I was challenged to think creatively to solve problems and discovered how systems that are incorporated into everyday life work. I also met many people who shared similar interests and we were able to incorporate these into various class group projects which included music, computer games and artificial intelligence. The degree has led me to postgraduate research in artificial intelligence in NUI Galway.