MSc Data Science

1 Years On Campus Masters Program

Atlantic Technological University

Program Overview

The MSc in Data Science at Atlantic TU is a one-year, full-time master’s programme that focuses on the key computational, analytical, and data handling skills needed to extract insights from large and complex datasets. It suits students with a quantitative or computing background who want industry-ready expertise in statistical analysis, data analytics and research-oriented problem solving in diverse sectors.

Curriculum structure:

In the master’s year, students build practical and theoretical knowledge across core data science topics. They engage with Data Science principles to understand the lifecycle of data analysis and Introduction to R for Data Science and Scientific Programming in Python to develop essential coding skills for manipulating and analysing data. Modules such as Practical Data Management, Statistics & Probability, Time Series Analysis, Regression Analysis, Data Visualisation & Analytics, Applied Machine Learning, Multivariate Modelling and Data Mining & Statistical Modelling deepen students’ ability to model, interpret, and visualise complex data patterns. The programme culminates in a Research Project – Data Science, where learners apply their analytical, computational and research skills to a substantial real-world challenge.

Focus areas (in a string):

Data science foundations, R & Python programming, practical data management, statistical modelling, data mining, machine learning, multivariate modelling, analytics visualisation, research integration.

Learning outcomes (in a string):

Apply data science and statistical methods to real datasets, implement analytic workflows in R and Python, manage and model complex data, visualise and communicate findings, and complete a substantive independent research project.

Professional alignment (accreditation):

Awarded as an NFQ Level 9 Master’s degree by Atlantic Technological University, aligning with industry needs in data science, analytics, machine learning and research-focused roles.

Reputation (employability rankings):

Atlantic Technological University is a recognised Irish technological university formed from several established institutes of technology, known for practical, industry-focused education; graduates are positioned for roles in data science and analytics across business, technology, healthcare and public 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 Atlantic Technological University's MSc in Data Science develop specialized skills in data analysis, machine learning, and statistical methods, positioning them for roles in Ireland's growing analytics sector across tech, manufacturing, and services. The program emphasizes practical applications and research through dissertation work, ensuring graduates meet industry demands for data-driven decision-making. Typical job roles include data scientist, analytics specialist, machine learning engineer, and data analyst.

Progression & Future Opportunities:

ATU Careers Service offers CV support, interview training, regional job fairs, and employer connections in Donegal's tech ecosystem.
Data science employment grows 20%+ annually in Ireland; starting salaries average €45,000–€65,000, with experienced roles reaching €80,000+.
Partnerships through ATU's research centers and industry projects provide internships and collaborations with regional tech and manufacturing firms.
NFQ Level 9 qualification from ATU ensures long-term recognition for career advancement in Ireland's technology corridor.
Graduates secure positions in IT, pharma, and logistics, supported by Ireland's post-study work visa up to 24 months.

Further Academic Progression: Graduates can advance to PhD programs in data science, computing, or analytics at ATU or other Irish universities, using the dissertation as research foundation. ATU offers doctoral pathways through its science and technology schools, focusing on applied data innovations. The program's technical training supports funded PhD opportunities across regional research networks.