MSc (Computer Science - Data Analytics)

At University of Galway, this MSc goes beyond theory — you’ll gain practical, hands-on experience from the start. Working in the School of Computer Science, you’ll use industry-standard software and real datasets to practice the skills you learn in lectures and seminars. Throughout the programme, you’ll collaborate with peers on projects, work closely with faculty on data analytics problems, and engage with advanced tools for machine learning, natural language processing, data visualisation, and large-scale data analysis. The final Data Analytics Project allows you to lead a substantial piece of applied research or development work, often in partnership with research groups or industry, ensuring you graduate with experience that employers value.

Some of the key experiential learning opportunities include:

• Data Analytics Project: A capstone research or applied project where you design, implement, and present a data analytics solution under the supervision of expert faculty, building your independent problem-solving and research skills.

• Interactive Case Studies and Group Work: Modules such as Case Studies in Data Analytics and Principles of Machine Learning include collaborative exercises and group assignments that mirror real-world industry workflows.

• Access to Research Expertise and Tools: You’ll study in a research-rich environment connected to the University’s Data Science Institute, gaining exposure to cutting-edge ideas and methods in machine learning, data visualisation, and ethical data science.

• Industry-Relevant Software and Datasets: Coursework incorporates modern analytics software and real datasets, preparing you for professional tools and techniques used in deep learning, web and network science, and data visualisation.

• Learning Support Services: Campus support like the Computer Programming Drop-In Support Centre (DISC) helps strengthen your coding, algorithmic thinking, and technical skills outside of class.

Facilities supporting your learning include teaching spaces and labs in the School of Computer Science, the research-intensive environment of the University, and the Data Science Institute, where advanced research in computing and analytics takes place.

Graduates of the MSc in Computer Science – Data Analytics enjoy rewarding careers where their expertise in analysing complex datasets, building predictive models, and solving real-world problems is highly valued. Typical roles include Data Analyst, Machine Learning Engineer, Business Intelligence Specialist, and Data Scientist, helping organisations make data-driven decisions across sectors like technology, finance, healthcare, and consulting. Career progression is supported in several ways:

• Career Development Centre Support: The university’s Career Development Centre provides personalised guidance, CV and interview coaching, job and internship listings, employer fairs, networking events, and access to the Careers Connect system to help students engage with opportunities throughout their studies and after graduation. Students can also earn an Employability Award recognising practical workplace skills.

• Strong Industry Demand: Skilled data analytics professionals are in high demand worldwide. This programme’s focus on advanced analytics, machine learning, and large-scale data techniques ensures graduates are ready for these in-demand roles.

• Graduate Outcomes & Employer Network: Many graduates secure roles such as automation developer, data engineer, or business analyst in respected companies both in Ireland and internationally.

• Long-Term Accreditation Value: This MSc is a Level 9 Master’s degree on the Irish National Framework of Qualifications, recognised across Europe and beyond, adding long-term value to your professional profile.

• University–Industry Engagement: The University of Galway’s strong research and innovation links, along with its active alumni network, provide students with excellent opportunities for networking and professional connections throughout their careers.

Further Academic Progression:
After completing this MSc, students may continue to doctoral research in computing, artificial intelligence, or data science. Graduates can enter structured PhD programmes, often with advanced standing, preparing them for careers in research, academia, or highly specialised R&D roles in industry.