Who is this course for? 

This programme is aimed at graduates with a primary qualification and / or extensive industry experience in Computer Science or related subject area. It is not a conversion programme but expects students to already be at a very high standard regarding their Computer Science education. 

What will I study?

Students will collect 90 ECTS during 12 months of full-time studies. The programme covers over two semesters many complementary areas of Cybersecurity, Artificial Intelligence, and Data Analytics, including Intrusion Detection and Malware Analysis, Secure DevOps, Ethics & Data Privacy, Deep Learning, Case Studies in Cybersecurity Analytics, Autonomous Agents and Multi-Agent Systems. Further on, students reinforce their newly gained skills in a project that is completed during the summer.  

During semester 1 students will focus on foundation topics comprising of 5 core modules and one elective module (30 ECTS in total) as follows:  

During semester 2 advanced topical areas will be covered, again comprising of 5 core modules and one elective module (30 ECTS in total) as follows: 

During semester 2 advanced topical areas will be covered, again comprising of 5 core modules and one elective module (30 ECTS in total) as follows: 

Lectures are complemented by weekly labs and tutorials. Assignment work will typically provide 30% of a subject’s overall mark, while the remaining 70% are covered by an end-of-term examination. 

Following the semester 2 examination period students will work on a 30 ECTS, 3-month research / capstone project (CT5195), where they showcase their newly gained skills by applying a variety of artificial intelligence and data analytic techniques to solve a real-world cybersecurity problem. 

• Proactive Cybersecurity Systems: Learn to build algorithms and systems that can proactively defend organisation against cyber threats.
• Industry connections: Learn from the Local and International (EU/Abroad) cybersecurity industry during talks and case studies in modules.
• Master core concepts: Develop a solid foundation in cybersecurity theory and practical, applying them to real-world scenarios.
• Enhance analytical skills: Build the ability to interpret and analyse data using advanced tools and methodologies.
• Develop professional expertise: Hone the skills required to succeed in diverse roles, including AI, data analytics, and cybersecurity.
• Improve communication skills: Learn to effectively present and articulate findings to a range of audiences, from stakeholders to decision-makers. 

Career Opportunities 

The high global demand in cybersecurity experts is being reflected in a range of career options for example as network security architect, cybersecurity operations analyst or information security analyst. 

While our graduates can compete for such jobs, the programme will cater for the demand stemming from emerging R&D career paths in cybersecurity that have a strong focus on machine learning and data analytics. These include positions such as an AI security controls architect, cybersecurity data analytics engineer, or cyber intelligence analyst. 

• Dr Ihsan Ullah – Programme Director
• Dr Michael Schukat
• Dr Matthias Nickles
• Prof Michael Madden
• Dr James McDermott
• Dr John McCrae
• Dr Karl Mason
• Dr Jawad Manzoor
• Dr Patrick Mannion
• Dr Enda Barrett
• Dr Enda Howley
• Dr Conor Hayes
• Dr Jim Duggan
• Porf Peter Paul Buitelaar 
• Dr Mamoona Asghar
• Dr Nazre Batool 

How will I learn? 

The MSc in Adaptive Cybersecurity blends innovative teaching with hands-on learning for a well-rounded educational experience. You'll engage in interactive lectures, flipped classrooms, seminars, and workshops led by expert faculty. Real-world case studies, data-driven projects, and coding exercises help bridge theory and practice. 

Collaborative projects build teamwork and communication skills, while individual assignments and a final capstone project with your dedicated supervisor foster independence and critical thinking. 

You'll have access to cutting-edge tools, industry-standard software, high performance computing, and real-world datasets to support your learning and career development. 

Further to that, ACSPeerLear Club, where you can learn from your peers.  

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 and in-class tests. Students receive regular (weekly) feedback on their progress. (around 30%).
2. Examinations - Written exams take place before Christmas and in April-May. Written and oral exams evaluate proficiency in theoretical and practical understanding, grammar, vocabulary, comprehension, and communication. 
3. Project Work - Research and subtitling projects and translation assignments allow students to apply their skills in real-world contexts. 

Course queries: 
MScCS-ACS@universityofgalway.ie   

Programme Director(s):  

Dr Ihsan Ullah,  
School of Computer Science, 
College of Science & Engineering

E: MScCS-ACS@universityofgalway.ie 
T: +353 91 493 836

Graduates of the MSc in AI will be able to:  

• Strong Programming & Mathematical Foundation: Proficiency in programming languages and a solid grasp of linear algebra, calculus, probability, and statistics are fundamental for understanding and implementing AI algorithms.
• Data Handling and Analytical Skills: The ability to clean, transform, analyse, and visualise data is crucial, along with a keen problem-solving and critical thinking mindset to dissect complex AI challenges.
• Research and Independent Learning: Given the rapidly evolving nature of AI, skills in information retrieval, academic research methods, and a strong capacity for continuous self-directed learning are vital for success in the program's research components and beyond.
• Effective Communication: Clearly articulating complex technical concepts, research findings, and project outcomes through both written reports and verbal presentations is essential for academic collaboration and future career progression.
• Teamwork and Ethical Awareness: The ability to collaborate effectively on projects and a strong understanding of the ethical implications and societal impact of AI are increasingly important skills for responsible AI development. 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

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.   

English Language Entry Requirements 

Overall, entry to the MSc Adaptive Cybersecurity requires a minimum IELTS score of 6.5 overall, 6.5 in Writing and 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: Overall 61, Writing 61, all other bands no less than 50.  

More information on English language test equivalency are available here.  

Supporting Documents

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 there. We strongly encourage an evidence-based approach to outlining your existing technical skills and experience  
 
Please upload a current C.V.  

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

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.  

Excellence and Merit Scholarships

We offer three Excellence Scholarships worth €10,000 each as well as €2,000 Merit Scholarships for students applying from outside the EU in each of the following programmes: 

• MSc Data Analytics
• MSc Artificial Intelligence
• MSc Adaptive Cybersecurity
• MSc Software Design and Development 

Link: College of Science and Engineering Scholarships

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.