Course Overview

Artificial Intelligence is one the most exciting and fastest growing areas of the ICT industry and research. It has the potential to positively transform every aspect of all our lives, from Smart Cities and Autonomous Vehicles, through to improved healthcare services and low-carbon economies. Artificial Intelligence has the capacity to provide intelligent solutions that can help us to tackle many today’s greatest societal challenges. 

Become part of this exciting development by joining our one-year MSc in Computer Science—Artificial Intelligence. 

This programme is aimed at graduates with a primary qualification in Computer Science or related subject area. It is not a conversion course, but expects students to be already at a very high technical standard with regard to their Computer Science education. 

The full-time MSc in Artificial Intelligence is taught by renowned, interdisciplinary NUI Galway experts in the field. It covers over two semesters many complementary areas of Artificial Intelligence, including Deep Learning, Natural Language Processing, Optimisation, and Reinforcement Learning. 

Furthermore, students reinforce their newly gained skills in a 30-credit project that is completed during the summer. Here students may have the opportunity to collaborate with a research group or with an industry partner.

The School of Computer Science Advanced MSc Scholarship (Artificial Intelligence)
NUI Galway, School of Computer Science is offering one scholarship for the MSc in Computer Science (Artificial Intelligence) commencing September 2021; this scholarship, up to the part value of €5,000 of the tuition fees, is awarded to the highest ranked graduate of the BSc Computer Science & IT undergraduate programme (GY350) among those who apply for the scholarship. This is open to all current GY350 final year students due to graduate in 2021, and all previous graduates of the programme. Please note that to be considered for this merit-based scholarship, applicants must first apply and be accepted to their chosen programme. They will subsequently be required to complete a separate scholarship application form.

Scholarships available
Find out about our other Postgraduate Scholarships here.

Applications and Selections

Applications are made online via the NUI Galway Postgraduate Applications System

Your online application shall include: 

  • A personal statement outlining:
    • A summary of your primary degree and its relevance for a successful completion of this programme. We strongly encourage an evidence-based approach to highlighting your academic accomplishments.
    • A summary of your previous capstone projects (e.g. undergraduate final year projects) including an outline of your exact contribution to these. We strongly encourage an evidence-based approach to outlining your existing technical skills and experience.
  • Your CV
  • University Degree Transcripts
  • Two references
  • IELTS/TOEFL certificate—only if English is not your mother tongue 

What is not required (please do not submit these):

  • Secondary school certificates
  • Training certificates
  • Membership certificates

Who Teaches this Course

  • Dr Enda Barrett
  • Dr Heike Schmidt-Felzmann
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Requirements and Assessment

Key Facts

Entry Requirements

Prior qualification 
This MSc is targeted at high-performing graduates of Level 8 computer science programmes, or Level 8 science/engineering programmes that offer sufficient training in computing.

The minimum academic requirement for entry to the programme is a First Class Honours (or equivalent) from a recognised university or third-level college. However, a good Second Class Honours (or equivalent) can be deemed sufficient on the recommendation of the Programme Director. 

NUI Galway Conversion Programme Pathway;
Students who have completed one year of our MSc/HDip Software Design & Development programmes, and who have achieved a First Class Honours result (1.1) overall average in their first year’s study are eligible to apply for entry to this programme. This is an ideal route for any applicants who feel they are not likely to reach the entry criteria of the MSc (Artificial Intelligence) programme through direct entry. 

English language proficiency 
Overall, entry to the MSc in Computer Science—Artificial Intelligence requires a minimum IELTS score of 6.5, with no less than 6.5 in the writing ability category and no less than 6.0 in the other categories.


Additional Requirements

Duration

1 year, full-time

Next start date

September 2022

A Level Grades ()

Average intake

40

QQI/FET FETAC Entry Routes

Closing Date

 Please view the offer rounds website.

NFQ level

Mode of study

ECTS weighting

90

Award

CAO

Course code

1MAI1

Course Outline

The MSc in Computer Science—Artificial Intelligence is a one-year 90-ECTS course with three main elements:

  • foundational modules (35 ECTS)
  • advanced modules (25 ECTS), and
  • a substantial capstone project (30 ECTS).

Foundational modules include: Machine Learning and Deep Learning; Natural Language Processing; Information Retrieval; Meta-Heuristic Optimisation; Ethics in Artificial Intelligence; Autonomous Agents and Multi-Agent Systems. 

Advanced modules include: Programming and Tools for AI; Knowledge Representation & Statistical Relational Learning; Data Visualisation; Programming for Data Analytics; Web & Network Science; Embedded Image Processing; Tools and Techniques for Large Scale Data Analytics; Research Topics in AI. 

From Semester II onwards, students work on individual projects and submit them in August. Projects may have a research or applied focus.

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Why Choose This Course?

Career Opportunities

AI skills will be required in every industry and could create—according to a recent Forbes report—globally up to 22 million new jobs by 2022. The World Economic Forum estimates that by 2025 machines are expected to perform more current work tasks than humans compared to 71% being performed by humans today, and their recent report concludes that artificial intelligence, robotics and smart automation technology could contribute up to $15 trillion to global GDP by 2030.  

Within the AI space, there is a diversity of jobs requiring various levels of expertise:

  • More foundational jobs include data architects, software engineers and machine and deep learning engineers.
  • Advanced roles include specialist research engineers, including those that specialise in computer vision, language and speech, and AI architects.

Who’s Suited to This Course

Learning Outcomes

 

Work Placement

Study Abroad

Related Student Organisations

Course Fees

Fees: EU

€7,760 p.a. 2022/23

Fees: Tuition

€7,620 p.a. 2022/23

Fees: Student levy

€140 p.a. 2022/23

Fees: Non EU

€24,140 p.a. 2022/23

Find out More

MSc (AI) Programme Administrator,
School of Computer Science,
College of Science and Engineering
NUI Galway.
T: +353 91 493 836
E: MScCS-AI@nuigalway.ie
www.cs.nuigalway.ie

Swati

Swati Nandan |   Current MSc Artificial Intelligence Student

NUI Galway is one of the best colleges I have studied in! Teachers are very approachable and friendly. Highlights of my AI program were the depths of modules; in Semester 1, the programme taught the basics of AI along with its practical applications, in Semester 2, we were taught more advanced topics in AI and the course covered a wide range of concepts. Assignments helped us get hands on experience of different tools used currently in the AI industry. In Semester 3 we carried out research on a topic of our interest. Guest talks were organized from different IT companies like Genesys and Qualcomm that gave us an industry perspective to Artificial Intelligence. All these experiences have helped me learn new things in the AI industry and made me a better engineer. The university constantly encourages students to participate in academic as well as non-academic activities. I was part of the International Student’s Gaelic football team which showed me different cultures of Ireland. Galway is such a calm city and the best place to get your studies done. I would not trade this journey for anything in the world.

Downloads

  • Postgraduate Taught Prospectus 2022

    Postgraduate Taught Prospectus 2022 PDF (14.3MB)

  • AI brochure 2019

    AI brochure 2019 PDF (680kb)