Master of Science Business Analytics

1 Years On Campus Masters Program

Atlantic Technological University

Program Overview

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)

  • ATU is recognized as one of Ireland’s leading technological universities, with strong industry engagement and applied learning.
  • The MSc in Business Analytics is funded under the Springboard+ initiative, highlighting its national importance in addressing Ireland’s analytics skills gap.
  • Graduates are prepared for roles such as Business Analyst, Business Intelligence Analyst, Operations Analyst, and R&D Specialist, with strong demand across industries.

 

Experiential Learning (Research, Projects, Internships etc.)

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:

  • Applied Project (30 ECTS): Students independently design and deliver a real-world analytics solution, integrating programming, AI, and visualization tools into a comprehensive research report and artefact.
  • Database Systems (SQL & NoSQL): Practical modules train students to design and manage relational and non-relational databases, applying them to business case studies.
  • Programming for Business Analytics: Learners gain hands-on experience with programming languages to automate processes and solve applied business problems.
  • AI & Emerging Technologies: Students explore machine learning, natural language processing, blockchain, IoT, and augmented reality, applying these technologies to business scenarios and governance frameworks.
  • Data Visualisation Tools: Modules emphasize creating interactive dashboards and visual reports using industry-standard platforms, ensuring graduates can communicate insights effectively.
  • IT Strategy & Governance: Case-based learning introduces students to corporate IT frameworks, GDPR compliance, and the EU AI Act, preparing them for leadership in regulated environments.
  • Group Projects & Case Studies: Collaborative assignments encourage teamwork and culminate in presenting solutions to real-world business challenges.
  • Digital Learning Facilities: The program leverages ATU’s HigherEd4.0 project, integrating universal design for learning (UDL) and advanced online resources to support applied study.
  • Library & Research Resources: ATU’s Galway campus library provides access to specialized analytics journals, case studies, and digital databases, supporting coursework and independent projects.
  • Industry Engagement: Funded under the Springboard+ initiative, the program connects students directly with Ireland’s analytics ecosystem, ensuring strong links to employers across technology, finance, healthcare, and public services.

Progression & Future Opportunities

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:

  • University Career Services: ATU’s Careers Office provides tailored postgraduate support, including CV clinics, interview preparation, and employer networking events. Students also benefit from Springboard+ supports, which connect learners directly with industry opportunities and job placement pathways.
  • Employment Stats & Salary Figures: Analytics graduates in Ireland report strong employment outcomes, with entry-level salaries typically ranging from €45,000–€60,000, and experienced professionals earning €80,000+ depending on sector and specialization.
  • University–Industry Partnerships: The MSc is funded under the Springboard+ initiative, ensuring strong links with employers across technology, finance, healthcare, and public services. Students also benefit from ATU’s HigherEd4.0 project, which integrates industry-informed digital learning resources.
  • Long-term Accreditation Value: Delivered at Level 9 on the National Framework of Qualifications (NFQ), the MSc provides internationally recognized postgraduate credentials, ensuring long-term professional credibility.
  • Graduation Outcomes: Alumni progress into diverse roles across multinational corporations, SMEs, and public sector organizations, applying their skills to improve decision-making, optimize operations, and drive innovation.

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.

Program Key Stats

€14,000
€7,200
Sept Intake : 1st Jun


75 %

Eligibility Criteria

NA
3 or 4 Years

N/A
N/A
N/A
6.0
80
2:2
N/A

Additional Information & Requirements

Country Requirements

Career Options

  • business intelligence
  • data analysis
  • statistical modeling
  • data visualisation
  • and emerging tech
  • making you valuable in roles that require both business acumen and technical expertise
  • Specific roles graduates can seek include: Data Analyst
  • Business Analyst
  • Entry-Level Data Scientist
  • Business Intelligence (BI) Analyst
  • Operations Analyst
  • Marketing Analyst
  • Product Analyst
  • Consultant (Analytics or Strategy)
  • and Customer Insights Analyst

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