COURSE CURRICULUM

The MSc in Open Data Practice offers a structured combination of core and elective modules designed to equip students with both technical expertise and practical experience in open data. Core modules include Data Modelling, Programming and Algorithms, Ethics and Fairness, Open Science and FAIR Principles, Statistics, Data Analytics, Open Data Workflows and Lifecycle, Data Governance, and a Research Practicum. These modules provide a strong foundation in data management, analysis, and governance, while also emphasising ethical, legal, and sustainability considerations.Elective modules allow students to tailor their learning to specific interests, with options such as Database and File Systems, Open Innovation, and Data Assurance and Security Principles. Elective availability is subject to minimum student numbers, ensuring a viable learning environment for each course. The program’s focus on FAIR principles—making data Findable, Accessible, Interoperable, and Reusable—prepares graduates to implement open data strategies in both public and private sectors.The combination of theory, practical applications, and research-driven projects ensures that learners develop the analytical, technical, and managerial skills necessary to lead data-driven initiatives. Students gain hands-on experience with open data workflows, data analytics, and governance frameworks, while the Research Practicum provides an opportunity to apply knowledge in a real-world or simulated environment.Upon completion, graduates are well-prepared for careers in government, industry, and research institutions, where they can manage, analyse, and operationalise open datasets, assess the impact of data initiatives, and implement innovative solutions. The MSc in Open Data Practice cultivates leaders who are capable of driving transparency, innovation, and evidence-based decision-making in a rapidly evolving data-driven world.