MSc Computing in Big Data Analytics and Artificial Intelligence

1 Years On Campus Masters Program

Atlantic Technological University

Program Overview

The MSc in Computing in Big Data Analytics and Artificial Intelligence at Atlantic Technological University is a one-year full-time (or two-year part-time) master’s that trains students to analyse, interpret and apply insights from large and complex datasets using advanced analytics and AI methods — including machine learning and computational modelling. It suits graduates in computing, mathematics, engineering or other quantitative disciplines who want practical, industry-aligned skills in big data systems and intelligent computing.

Curriculum structure:

In the master’s year, students gain both foundational and specialised capabilities across data analytics and AI. They study Big Data Analytics, learning how to process and extract meaningful information from high-volume and varied datasets, and Machine Learning, where they build predictive models and pattern-recognition systems. Principles of Artificial Intelligence and Big Data Architecture deepen their understanding of AI techniques and the scalable systems that support them, while modules such as Artificial Intelligence for Vision and NLP expose students to domain-specific AI applications. A Research Project or capstone allows students to apply these skills to a substantive real-world challenge, synthesising analytics, AI, and computational approaches.

Focus areas

Big Data Analytics, Machine Learning, Principles of Artificial Intelligence, Big Data Architecture, AI for Vision & NLP, Research Project.

Learning outcomes

Apply big data processing and analytics methods, develop machine learning and AI solutions, understand and build scalable data systems, and complete a substantial independent research project.

Professional alignment (accreditation):

Awarded as an NFQ Level 9 Master’s degree by Atlantic Technological University, aligning with roles in data science, AI engineering, analytics consultancy, and systems architecture.

Reputation (employability rankings):

Atlantic Technological University is recognised as a technological university in Ireland with practical, career-oriented computing and analytics programmes; graduates are positioned for opportunities in sectors such as finance, healthcare, tech, and logistics.

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 Computing in Big Data Analytics and Artificial Intelligence gain expertise in processing massive datasets and deploying intelligent systems, positioning them for high-demand roles across Ireland's tech, finance, healthcare, and manufacturing sectors. The program emphasizes hands-on training with tools like Python, TensorFlow, Hadoop, Spark, and cloud platforms, culminating in an applied research project that showcases real-world problem-solving. Typical job roles include big data engineer, AI specialist, machine learning engineer, and analytics architect.

Progression & Future Opportunities

ATU Careers Service delivers CV support, interview preparation, tech recruitment fairs, and connections to Donegal's growing innovation ecosystem.
Ireland's AI and big data market expands rapidly with starting salaries €45,000–€65,000, progressing to €85,000+ for experienced professionals.
Industry collaborations enable capstone projects with regional tech firms, internships, and direct graduate placements.
NFQ Level 9 from ATU Letterkenny provides strong regional recognition for career growth in northwest Ireland's technology corridor.
Alumni secure positions in banking, retail, and healthcare analytics, bolstered by Ireland's 24-month post-study work visa.

Further Academic Progression
Graduates advance to PhD programs in AI, data science, or computing at ATU or partner institutions, building on the dissertation research. ATU supports doctoral pathways through applied research centers emphasizing big data and intelligent systems. The technical foundation qualifies candidates for funded PhDs across Ireland's Atlantic innovation hub.