Learning outcomes

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:

• Study, research, analysis, design, development and implementation of software systems, composite computer systems and computer networks.
• Study, research and development of theoretical approaches and implementation of methods and systems related to the fields of Artificial Intelligence and Data Science.

The curriculum is structured to include courses that ensure:

1. A grounding in the basic sciences that collaborate in the fields of AI and Data Science
2. The study of the relevant subject matter in a broad range, through elective courses, with an emphasis on interdisciplinarity

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:

• To integrate foreign students into a European, scientific, technological, and business environment, while highlighting the comparative advantages of Greek culture and the Greek academic ecosystem.
• To form young scientists interested in continuing their studies at postgraduate and/or doctoral level and possibly pursuing academic or research careers in the promising scientific and technological fields of the undergraduate programme.