The Una Europa Module Exchange in Data Science and AI opens up new study opportunities to students at the participating partner universities by offering modules from four leading European universities, facilitating collaboration between learners and institutions. Students can choose one or more modules based on the comprehensive list of module recognitions applicable to their Master’s programme.

Modules are delivered virtually, either asynchronously or in a hybrid format, and may include group projects, discussions, and written assignments. Upon successful completion, students will receive the corresponding ECTS credits within their home degree programme. Recognition is legally established through official credit-recognition agreements that clearly define which module is recognised by which Master’s programme and in which area the ECTS will be applied.

The Una Europa Module Exchange in Data Science and Artificial Intelligence offers a selection of modules that allow Master’s students to broaden their knowledge and specialise in topics not available at their home university. Many modules are interdisciplinary, combining fields such as law, sociology, political science, history, and technology to address contemporary societal and technological challenges.

Students can choose from modules offered by four participating Una Europa universities, completing them entirely online while earning ECTS credits recognised by their home programme. Modules may include lectures, group work, and practical assignments, fostering collaboration across borders with peers from diverse academic and cultural backgrounds.

As the modules and course offerings may change each semester, full details on available modules, partner universities, eligibility, and credit recognition are maintained on the official website.

For full details on participating universities, available modules, and eligibility, please visit the official Una Europa Module Exchange in Data Science and Artificial Intelligence website.