EUBI’s Executive Doctoral Programme in Artificial Intelligence, Data Science and Business Analytics represents the pinnacle of analytical training, designed for leaders and academics seeking to push the boundaries of knowledge at the intersection of technology. During the first year, the programme establishes a solid methodological and technical foundation, combining advanced proficiency in Machine Learning and Deep Learning with a rigorous immersion in qualitative and quantitative research methodologies. This initial phase transforms prior professional experience into a robust research capability, enabling doctoral candidates to structure original research proposals that address critical issues in the modern business world.
The second year of the PhD programme focuses on advanced research and the development of original theoretical models. At this stage, the programme encourages an in-depth exploration of the existing scientific literature to identify gaps in knowledge, followed by an intensive phase of fieldwork and data collection. Through doctoral seminars and personalised tutoring sessions, researchers refine their theoretical and methodological framework, ensuring that their study not only meets European academic standards but also has practical applicability that generates a real impact in strategic sectors such as health, finance or technology.
This academic journey culminates in the third year with the preparation and defence of the doctoral thesis. During this period, the doctoral candidate engages in high-level intellectual work, producing academic articles for publication and actively participating in prestigious international conferences. Under the guidance of experts, the researcher writes their final thesis, establishing themselves as a global expert and authority in AI and Data Science. Upon obtaining this degree, graduates not only earn the title of Doctor, but also position themselves as leaders capable of driving disruptive innovation and technological governance within the world’s most influential organisations.
