Data Science MSc

NA On Campus Masters Program

South East Technological University

Program Overview

The MSc in Data Science at South East Technological University (SETU) is a one-year full-time master’s programme that provides a thorough theoretical and practical grounding in analysing and utilising large datasets, preparing students for analytical and data-driven roles in industry. It suits graduates with strong numerate or computing backgrounds who want to build core competencies in programming, statistics, data analytics and research-oriented data projects.

Curriculum structure:

In the master’s year, students build a comprehensive skill set across fundamental and applied data science topics. They learn Programming for Data Scientists to develop coding proficiency for data collection and manipulation and Data and Data Storage Technology to understand how data is structured and accessed at scale. Through Statistics for Data Science, Data Analytics and Algorithms, and Data Visualisation and Insight, learners gain the statistical, modelling and interpretive skills necessary to extract meaningful insights from complex datasets. Modules such as Infrastructure for Big Data extend their understanding of scalable systems, and the programme culminates in a substantial Project/Dissertation where students apply these tools and methods to a significant real-world data challenge.

Focus areas

Programming for data scientists, data storage technology, statistics for data science, data analytics & algorithms, big data infrastructure, visualisation & insight, research project.

Learning outcomes

Apply data science programming skills to real datasets, model and analyse complex data with statistical techniques, design scalable data systems, visualise insights clearly, and complete a research-integrated data project.

Professional alignment (accreditation):

Awarded as an NFQ Level 9 Master’s degree by South East Technological University, aligning with industry expectations for data science and analytical roles.

Reputation (employability rankings):

SETU is recognised as an innovative technological university in Ireland with industry-focused postgraduate education; graduates are prepared for careers in ICT, business analytics, finance, marketing, biotechnology, telecommunications and related 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 South East Technological University's MSc in Data Science secure roles in Ireland's thriving analytics sector, working with large datasets in industries like ICT, finance, insurance, pharma, and retail through skills in data analysis, machine learning, and research projects. The program delivers industry-focused training for Big Data roles, emphasizing practical deployment and ethical data utilization. Typical job roles include data scientist, data analyst, analytics consultant, and IT data specialist.

Progression & Future Opportunities:

SETU Careers Service provides CV guidance, interview preparation, job fairs, and employer networking for Carlow tech graduates.
Data science demand grows rapidly; starting salaries average €45,000–€65,000, with experienced roles reaching €80,000+ in Ireland.
Industry collaborations via gameCORE research centre offer projects, internships, and placements with regional tech and business partners.
NFQ Level 9 from SETU Carlow ensures strong recognition for advancement in data-driven organizations across Europe.
Graduates enter technical development or management positions, supported by Ireland's post-study work visa up to 24 months.

Further Academic Progression: Graduates can pursue PhD programs within SETU's gameCORE research centre or other Level 10 courses, leveraging the major research project. SETU supports doctoral research in data science applications and analytics innovation. The program's foundation enables progression to funded PhDs across Irish universities and EU networks.