MSc in Data Science & Artificial Intelligence

1 Year On Campus Masters Program

University College Cork UCC

Program Overview

The MSc in Data Science & Artificial Intelligence at University College Cork is a one-year full-time master’s programme that blends statistical analytics, machine learning, and computing to equip students with the skills needed to analyse and interpret complex data. It is ideal for graduates with numerate or computing backgrounds who want to pursue careers in data analytics, AI-driven roles, or research-oriented positions.

Curriculum structure

In this master’s year, students build strong analytical and computational foundations through core modules such as Datamining, Deep Learning, Foundations of Statistical Data Analytics, and Generalised Linear Modelling Techniques, which together develop proficiency in extracting patterns from data and building predictive models. Elective options like Optimisation, Data Visualization for Analytics Applications, Multivariate Methods for Data Analysis, and Machine Learning and Statistical Analytics I & II allow students to tailor their learning to advanced analytics and AI topics. Students also choose appropriate modules in databases or programming depending on their background, such as Database Technology or Programming in Python with Data Science Applications, ensuring they gain essential practical computing skills. The programme culminates in the Dissertation in Data Analytics, a substantial research project that integrates statistical and AI methods to address real-world data challenges.

Focus areas (in a string):

Datamining, deep learning, statistical data analytics, generalised linear modelling, optimisation, data visualization, multivariate analysis, machine learning, databases, programming, dissertation.

Learning outcomes (in a string):

Analyse and model complex datasets using statistical and AI techniques, implement scalable data solutions with programming tools, tailor analytics approaches through electives, and complete a substantial independent research project.

Professional alignment (accreditation):

Awarded as an NFQ Level 9 Master’s degree by University College Cork, aligned with industry expectations in data science, analytics and AI roles.

Reputation (employability rankings):

University College Cork is consistently recognised in international rankings for research and graduate employability, and graduates of this programme are positioned for competitive roles in data analytics, technology and research sectors.

Experiential Learning (Research, Projects, Internships etc.)

Core Technical Software & Tools: The curriculum is built around gaining fluency in Python and R, the primary programming languages for data analysis and statistical computing. Students also work with libraries and frameworks essential for machine learning, statistical modeling, and high-performance computing.
Capstone Research Project: A central experiential component is a substantial individual dissertation or research project conducted over the summer. This project requires students to independently apply their full skill set—from data collection and programming to analysis and interpretation—to a complex, real-world computational problem.
Learning Environment & Facilities: While specific labs for this program are not listed, students utilize university-wide high-performance computing (HPC) resources for complex data processing. The Trinity Library provides access to major research databases and digital collections essential for sourcing data. Teaching occurs in seminar and tutorial rooms equipped for practical coding sessions, and students use their own capable laptops (meeting specified technical requirements) for all coursework.
Industry Connection through Curriculum: The program is designed with direct industry needs in mind. Coursework involves analyzing real-world datasets and problem scenarios, such as those from political communications, public policy, or social science research, preparing graduates for technical roles.

Progression & Future Opportunities

Graduates of University College Cork's MSc in Data Science and Artificial Intelligence (CKR49) attain high employability in Ireland's tech ecosystem, frequently placing at firms like Accenture, IBM, and Pfizer with proficiency in machine learning, data analytics, and AI deployment. The program drives strong career trajectories in sectors facing acute data talent shortages, bolstered by UCC's research-intensive training. Typical job roles include data scientist, AI engineer, analytics specialist, and machine learning developer.

Progression & Future Opportunities:

UCC Careers Service offers individualized coaching, data analytics job fairs, CV clinics, interview preparation, and an online portal linking to Cork's tech cluster employers.
93% of graduates secure roles within months; Ireland data science salaries start at €48,000–€65,000, advancing to €80,000+ mid-career.
Partnerships include collaborations with the MaREI SFI Centre, IBM for AI projects, and industry-sponsored dissertations with local tech firms.
NFQ Level 9 from UCC, a top-300 global university, yields lasting value for promotions and EU-wide professional mobility.
Outcomes span tech, finance, healthcare, and public sectors, aided by Ireland's post-study work permissions up to 24 months.

Further Academic Progression: Graduates can progress to PhD programs in data science, AI, or statistics at UCC or peer institutions, leveraging the 30-credit dissertation for research continuity. UCC provides funded PhDs via its Computer Science and Statistics schools, targeting advancements like deep learning optimization or ethical AI. The curriculum's depth supports applications to structured doctorates across Europe or North America.