6 Months On Campus Postgraduate Program
The Master of Science in Supply Chain Analytics at Atlantic Technological University (ATU) is a forward-looking postgraduate programme designed to equip students with the skills to transform data into strategic decisions for modern supply chains. It is ideal for graduates who want to combine analytical thinking with operational expertise to tackle complex challenges in global logistics, forecasting, and supply network performance.
Curriculum Structure
Year 1 (Full-Time – 12 Months / Part-Time over 24 Months)
Students build a comprehensive skill set that merges analytics with real-world supply chain applications. Modules such as Supply Chain Management and Operations Management provide an understanding of how goods, data, and resources flow through global networks and how to optimise these processes for efficiency and resilience. Data Modelling & Business Intelligence and Data Analytics & Visualisation develop expertise in translating raw data into actionable insights. The programme includes a Supply Chain Analytics Project, allowing hands-on application of analytical skills, and a Dissertation for independent research on a specialised topic.
Focus Areas
Data-driven decision-making, predictive analytics for supply chains, operations optimisation, global logistics strategy, business intelligence and visualisation, project-based application
Learning Outcomes
Graduates will be able to analyse complex datasets to forecast trends, integrate analytical insights with operational strategies, design solutions that improve efficiency and resilience, and communicate data-informed recommendations effectively to stakeholders
Professional Alignment (Accreditation)
The programme is awarded at NFQ Level 9, providing internationally recognised postgraduate credentials and alignment with professional standards in analytics and supply chain disciplines
Reputation (Employability Rankings)
Atlantic Technological University is recognised for its applied, industry-focused education. Graduates are well-positioned for high-growth roles such as Supply Chain Analyst, Logistics Manager, Continuous Improvement Specialist, and other data-driven operations positions where analytical expertise is in demand.
The Master of Science in Supply Chain Analytics at Atlantic Technological University (ATU) is a highly practical, industry-focused programme designed to equip students with the skills to become data-driven supply chain professionals. The course emphasises applying analytics to improve the flow of goods, information, and resources across modern supply networks. Students gain hands-on experience using data modelling, analytics, and visualisation in classroom and project settings that mirror real industry challenges, preparing them for decision-making roles in logistics, operations, and strategic planning.
Key Experiential Opportunities & Facilities:
Data analytics and visualisation practice, where students work with real or simulated supply chain data to identify insights, forecast trends, and support operational decisions.
Supply Chain Analytics Project, a capstone-style module that allows students to apply analytical techniques to solve complex supply chain problems and present actionable recommendations.
Data modelling and business intelligence exercises, providing practical experience in building analytical models and interpreting key performance metrics.
Group-based assignments and collaboration, fostering teamwork, communication skills, and professional problem-solving essential for modern supply chain roles.
Exposure to industry-relevant tools and software, developing the ability to analyse data, visualise results, and communicate insights confidently.
Access to ATU’s academic library resources and digital platforms, offering specialist materials in analytics, logistics, operations, and supply chain strategy.
Flexible study options, including full-time and part-time formats, allowing students to integrate practical learning alongside professional or personal commitments.
Graduates of the Master of Science in Supply Chain Analytics at Atlantic Technological University develop advanced analytical skills to interpret and act on data across complex supply networks, making them highly valuable to employers focused on efficiency, resilience, and data-driven operations. The programme prepares students for key roles such as Supply Chain Analyst, Logistics Manager, Supply Chain Planner, and Operations Analyst: students gain expertise in spotting patterns, forecasting risks, and supporting strategic decisions that improve performance across goods, data, and financial flows. With growing demand for analytics professionals in supply chain contexts, this MSc equips graduates for competitive careers in Ireland and abroad.
Progression & Future Opportunities:
• University Employability Support: Students benefit from Atlantic Technological University’s Careers Services, which offers tailored career planning, CV and interview coaching, industry networking opportunities, and guidance on presenting analytics skills to employers in logistics and operations sectors.
• Employment Relevance & Outcomes: The curriculum emphasises supply chain analysis, data interpretation, risk prediction, and decision support, enabling graduates to qualify for in-demand roles in logistics, planning, and analytics teams where strategic decision-making and data expertise are essential.
• University–Industry Engagement: Through applied coursework and real-world case studies, students build a professional mindset aligned with current industry challenges, creating connections and capabilities that matter to employers who rely on analytics insights to optimise operations.
• Accreditation & Long-Term Value: Awarded as a Level 9 Master of Science, this qualification holds recognised academic and professional standing in Ireland’s National Framework of Qualifications and is respected by employers internationally, adding long-term credibility to a graduate’s profile.
• Graduation Outcomes: By completing this programme, students finish with a strong analytics portfolio, practical decision-making experience, and the ability to support organisational performance improvements — skills that are highly valued in roles across manufacturing, consultancy, technology, retail distribution, and more.
Further Academic Progression:
After finishing the MSc in Supply Chain Analytics, students can pursue advanced research pathways, such as MPhil or PhD study in analytics, logistics, business operations, or data science-related fields at Atlantic Technological University or other universities. This opens opportunities for careers in academic research, advanced consultancy, strategic leadership, or global analytics specialisations.



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