This programme is aimed at graduates with a primary qualification in Computer Science or related subject area. It is not a conversion course, and students are expected to be already at a very high technical standard with regard to the technical elements of their computing background. 

What will I study?

The MSc is a 90-ECTS course with three main elements: core modules (40 ECTS), optional modules (20 ECTS), and a substantial capstone thesis project (30 ECTS). 

From Semester 2 wards, students work on individual projects and submit them in August. Projects may have a research or applied focus. 

In addition to completing a range of advanced modules, students will then reinforce their newly gained skills through a 30-credit project that is completed during the summer and evaluated through a thesis (minor dissertation) format. For these projects, students work directly with an academic supervisor in their chosen area of specialisation, while they also can pursue the opportunity to collaborate with research groups across University of Galway or with an industry partner. 

Core modules: 

• CT4100 Information Retrieval (Semester 1)
• CT5120 Introduction to Natural Language Processing (Semester 1)
• CT5165 Principles of Machine Learning (Semester 1)
• CT5102 Programming for Data Analytics (Semester 1)
• CT5108 Data Analytics Project (Semester 2)
• CT5133 Deep Learning (Semester 2)
• CT5113 Web and Network Science (Semester 2)
• CT5100 Data Visualisation (Semester 2)
• CT5103 Case Studies in Data Analytics (Semester 2) 

Optional Modules may include: 

• CT5105 Tools & Techniques for Large Scale DA (Semester 1)
• MP305 Modelling I (Semester 1)
• ST2001 Statistics for Data Science 1 (Semester 1)
• ST311 Applied Statistics I (Semester 1)
• CT561 Systems Modelling and Simulation (Semester 1)
• MA284 Discrete Mathematics (Semester 1)
• EE551 Embedded Image Processing (Semester 1)
• CT5121 Advanced Topics in Natural Language Processing (Semester 2)
• CT5166 Knowledge Graphs (Semester 2)
• ST2002 Statistics for Data Science 2 (Semester 2)
• ST312 Applied Statistics II (Semester 2)

Curriculum Information

Curriculum information relates to the current academic year (in most cases).
Course and module offerings and details may be subject to change.

• Range of modules: Includes modules in Machine Learning, Deep Learning, Natural Language Processing, Data Visualisation providing both practical and theoretical expertise.
• Master core concepts: Develop a solid foundation in cutting edge data analytics techniques, applying them to real-world contexts.
• Enhance analytical skills: Build the ability to interpret and analyse data using advanced tools and methodologies.
• Strengthen problem-solving abilities: Learn to approach data analysis challenges critically, using both theoretical and practical perspectives.
• Develop professional expertise: Hone the skills required to succeed in diverse roles, including complex data analysis and applied research.
• Improve communication skills: Learn to effectively present and articulate findings to a range of audiences, from stakeholders to decision-makers. 

Further Education 

• This is a distinctive programme that is closely aligned to the research and teaching expertise of the School of Computer Science and the Digital Science Institute in University of Galway.
• Graduates of this programme are waived a year from their studies on the University of Galway Structured PhD Programme in Computer Science to reflect their completion of advanced computing modules through the MSc Data Analytics.
• Demand for graduates from this programme in industry is very strong both locally, nationally and internationally.
• Due to the nature of this programme, it is seen as the almost perfect preparation and route into a PhD in Machine Learning, Artificial Intelligence or Data Analytics/Science. Graduates from this programme have been hugely successful in pursuing highly prestigious and competitive PhD Scholarships as a result of their MSc Data Analytics qualifications. Many of these graduates can then pursue careers in research and development, academia and a host of consulting and leading industry roles.
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International Scholarships 

International scholarships available 

Postgraduate Scholarships 

Other postgraduate scholarships available 

• Dr Malika Bendechache - Programme Director
• Professor Paul Buitelaar 
• Professor Jim Duggan 
• Dr Conor Hayes 
• Dr John McCrae 
• Dr James McDermott 
• Dr Matthias Nickles 
• Dr Colm O'Riordan 
• Dr Ihsan Ullah
• Professor Michael Madden
• Dr Nicola Fitz-Simon
• Dr Emma Holian
• Dr Kevin Jennings
• Dr Brian Deegan
• Professor Michael Tuite
• Professor John Newell 

How will I learn? 

The MSc in Data Analytics combines innovative teaching methods with practical, hands-on learning to ensure a comprehensive educational experience. You will learn through a mix of interactive lectures, seminars and workshops led by expert faculty. Real-world case studies, data-driven projects and coding exercises will enable you to apply theoretical knowledge to practical problems. 

Group projects and collaborative activities will enhance your teamwork and communication skills, while individual assignments and the final dissertation will help you develop independence and critical thinking.  

Throughout the programme, you will have access to cutting-edge resources, including industry-standard software and real-world datasets, to support your learning and professional growth.

How Will I Be Assessed? 

Throughout the programme, your progress is assessed through various coursework and exams, including reports, essays, presentations, and computer assignments. 

1. Continuous Assessment - Regular coursework, including essays, presentations, in-class tests, and language exercises. Students receive regular (weekly) feedback on their progress. (20%)
2. Examinations - Written exams take place before Christmas and in May. Written and oral exams evaluate proficiency in grammar, vocabulary, comprehension, and communication. The Final Examination accounts for 50%.
3. Project Work - Research and subtitling projects and translation assignments allow students to apply their skills in real-world contexts. (30%)

Course queries: 
MScCS-DA@universityofgalway.ie   

Programme Director(s):  

Dr Malika Bendechache 
Programme Director  
School of Computer Science, College of Science & Engineering

Q: Is a Master's in Data Analytics Worth it? 
A: A Master's in Data Analytics is highly valuable in today's data-driven world, as it equips you with the skills to analyse complex datasets and derive actionable insights. 

With the growing demand for data experts across industries like healthcare, finance, and tech, it opens doors to lucrative career opportunities. 

Additionally, it provides a strong foundation in cutting-edge tools and techniques, ensuring you're well-prepared to solve real-world problems and stay ahead in a competitive job market. 

Q: Is Data Analytics in demand in Ireland?
A: A Master’s in Data Analytics is highly valuable in Ireland, where the demand for data experts is rapidly growing across industries like tech, finance, and healthcare. 

Ireland is home to many global companies seeking skilled professionals to analyse complex data and drive decision-making. With strong career prospects and competitive salaries, it’s an excellent time to pursue this field in Ireland.

University of Galway recognises that knowledge and skills can be acquired from a range of learning experiences. This is in line with the National Framework of Qualifications (NFQ) goals which aim to recognise all learning achievements by supporting the development of alternative pathways to qualifications (or awards) and by facilitating the recognition of prior learning (RPL). 

This programme is designed to provide early and mid-career accountants with the skills and knowledge needed to engage with big data in a variety of roles in practice and industry. 
 
Candidates who have completed all of the professional accounting examinations and have been admitted as full members by a recognised professional accountancy body including the following: ACCA, CIPFA, CIMA, ICAEW, ICAI, ICAS or other IFAC member body assessed as equivalent by the academic programme director, are eligible for consideration. 

Graduates of the MSc in Data Analytics will be able to:  

• Demonstrate a breadth of understanding of a range of approaches to the study of literary texts and other cultural artefacts 
• Evaluate received knowledge and articulate their own contribution to the existing scholarship
• Select and apply a variety of critical approaches to the study of literature 
• Retrieve, select, sift, and deploy a range of sources to support original arguments 
• Apply enhanced critical thinking and analytical skills to their object of study 
• Plan, manage, and execute a substantial independent study project 
• Reflect deeply on a range of research perspectives, topics, and approaches related to the object of study 
• Exhibit the ability to self-assess and self-direct 

Minimum Entry Requirements

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. 

English Language Entry Requirements

Overall, entry to the MSc requires a minimum IELTS score of 6.5 overall, 6.5 in writing, with no less than 6.0 in any other band. TOEFL: Overall 88, Listening 12–19, Speaking 18–19, Writing 24–26, Reading 13–18. PTE: 61 overall, no less than 61 in writing, and no less than 50 in any one other component. 

Supporting Documents 

You will be required to provide supporting documentation as part of your application. You can check here what supporting documents are required for this course. 

You can apply online to the University of Galway application portal here.  

Please review the entry requirements set out in the section above. 

You will be required to upload supporting documentation to your application electronically. See the section above on entry requirements for further information on the supporting documentation required for this course.  

Closing Dates 

For this programme, there is no specific closing date for receipt of applications. Applications will be accepted on a rolling basis and course quotes will be reviewed continuously throughout the application cycle. 

Notes 

• You will need an active email account to use the website and you'll be guided through the system, step by step, until you complete the online form.
• Browse the FAQ's section for further guidance. 

Fees for Academic Year 2025/2026

Course Type	Year	EU Tuition	Student Contribution	Non-EU Tuition	Levy	Total Fee	Total EU Fee	Total Non-EU Fee
Masters Full Time	1	€8,750		€28,000	€140		€8,890	€28,140

For 25/26 entrants, where the course duration is greater than 1 year, there is an inflationary increase approved of 3.4% per annum for continuing years fees.

Postgraduate students in receipt of a SUSI grant – please note an F4 grant is where SUSI will pay €4,000 towards your tuition (2025/26).  You will be liable for the remainder of the total fee.  A P1 grant is where SUSI will pay tuition up to a maximum of €6,270. SUSI will not cover the student levy of €140.

Note to non-EU students: learn about the 24-month Stayback Visa here. 

Postgraduate Excellence Scholarships

This scholarship is valued at €1,500 for EU students applying for full-time taught master's postgraduate courses. You will be eligible if: 

• You have been accepted to a full-time taught master's course at University of Galway,
• You have attained a first class honours (or equivalent) in a Level 8 primary degree.  

An application for the scholarship scheme is required (separate to the application for a place on the programme). The application portal for 2025 is now open and available here. Applications will close on the 30th September 2025. Full details available here.  

Global Scholarships

University of Galway offers a range of merit-based scholarships to students from a number of countries outside of the EU. Visit here for schemes currently available. 

The School of Computer Science Advanced MSc Scholarship (Artificial Intelligence, Data Analytics) 

University of Galway, School of Computer Science is offering one scholarship for the MSc in Computer Science (Artificial Intelligence, Data Analytics) commencing the next academic year; this scholarship, up to the full value of the EU tuition fee 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 the current academic year, 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. 

Applications are made online via the University of Galway Postgraduate Applications System.  

Application requirements: 

• A personal statement
• A 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

Application Process

Students applying for full time postgraduate programmes from outside of the European Union (EU), You can apply online to the University of Galway application portal here.  

Our application portal opens on the 1st October each year for entry the following September.   

Further Information 

Please visit the postgraduate admissions webpage for further information on closing dates, documentation requirements, application fees and the application process.