The learning outcomes of the curriculum refer to the set of knowledge, competences and skills that students will know and be able to apply after successful completion of their studies. The Master in AI and Data Science aims to train a competent workforce in the most evolving areas of information technologies, such as AI and Data Science, in Europe and worldwide. In particular, the graduates of the Programme will be able to carry out:
The curriculum is structured to include courses that ensure:
The 8th semester is devoted to the preparation of the Thesis, which is compulsory.
By successfully following and completing the requirements of the basic science courses, students can understand the fundamental concepts and use the main tools and techniques of Computer Science and Engineering, in the broader context of Artificial Intelligence and Data Science.
Successful completion of the requirements of the specialization courses in AI and Data Science (compulsory and elective) will enable students to analyze, design and implement complex AI systems, as well as applications of Data Science, applying critical, analytical, and synthetic thinking with elements of research production.
Upon completion of the thesis, students will be able to deepen their knowledge in the two areas of the Programme and gain significant competencies, skills, and experience from the integrated in-depth study of a topic of their specialisation in cutting-edge technologies and contemporary issues.
Finally, the FLUSP aims to: