1 Years On Campus Masters Program
The Master of Science in Business Analytics at ATU is an applied Level 9 program designed for graduates who want to master advanced technical, analytical, and research skills to drive data-informed decision-making. It suits professionals aiming to lead analytics projects, implement AI-driven solutions, and apply statistical and computational techniques to solve complex business challenges.
Curriculum Structure
Year 1 – Semester 1
Students begin with a strong foundation in analytics and data management. Modules such as Business Analytics and Intelligence and Data Management for Business Analytics train students in frameworks for extracting, transforming, and loading data, alongside SQL and NoSQL database design. Quantitative Methods introduces statistical forecasting and computational techniques, while Research Methods develops skills in identifying research questions and critically reviewing academic and professional literature.
Year 1 – Semester 2
The second semester emphasizes applied technologies and advanced analytics. Programming for Business Analytics equips students with essential programming skills to automate processes and solve business problems. AI and Emerging Technologies explores machine learning, natural language processing, blockchain, IoT, and augmented reality, while Data Visualisation teaches advanced dashboard creation and storytelling with data. Finally, IT Strategy and Governance provides a strategic context, covering AI governance, GDPR compliance, and ethical considerations in technology adoption.
Applied Project (Summer)
The program culminates in a 30 ECTS Applied Project, where students independently design and implement an advanced analytical solution to address a real-world business challenge. This project integrates academic knowledge with industry needs, producing a comprehensive research report and artefact that demonstrate practical application of analytics tools and ethical data management.
Focus Areas
Business Intelligence, Data Management, Quantitative Methods, Programming, Artificial Intelligence, Emerging Technologies, Data Visualisation, IT Strategy, Applied Research
Learning Outcomes
Graduates will be able to design and implement database solutions, apply advanced statistical and computational techniques, leverage AI and emerging technologies, communicate insights through data visualisation, and lead analytics projects aligned with industry standards.
Professional Alignment (Accreditation)
The MSc is delivered by ATU’s School of Business, Department of Enterprise & Technology, ensuring alignment with industry standards. Students benefit from ATU’s HigherEd4.0 project and RISE scholarships, which support postgraduate research and PhD progression.
Reputation (Employability Rankings)
The MSc in Business Analytics at ATU is built around applied, hands-on learning that ensures students graduate with the technical and professional skills employers demand. You won’t just study analytics in theory — you’ll actively work with databases, programming languages, and visualization platforms, while applying your skills to real-world business challenges. The program culminates in a substantial applied project, giving you the chance to design and implement an advanced analytical solution that mirrors industry practice.
Here’s how experiential learning is embedded in the MSc in Business Analytics at ATU:
Graduates of the MSc in Business Analytics at ATU are highly sought after in Ireland’s growing data-driven economy. Alumni typically move into roles such as Data Scientist, Business Intelligence Analyst, Operations Analyst, and Innovation Consultant, reflecting the program’s strong emphasis on advanced analytics, AI, and applied research.
Here’s how ATU supports your career progression and long-term success:
Further Academic Progression:
After completing the MSc in Business Analytics, students can continue their academic journey by pursuing a PhD in Analytics, Artificial Intelligence, or Business Strategy at ATU. This pathway allows graduates to deepen their expertise, contribute to cutting-edge research, and strengthen their impact within academia or high-level industry innovation roles.



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