Το πρόγραμμα σπουδών αποτελείται από τρία εξάμηνα. Στο πρώτο εξάμηνο, οι φοιτητές παρακολουθούν τέσσερα υποχρεωτικά μαθήματα. Στο δεύτερο εξάμηνο, έχουν τη δυνατότητα να επιλέξουν ανάμεσα σε δύο κατευθύνσεις, κάθε μία εκ των οποίων περιλαμβάνει τέσσερα εξειδικευμένα μαθήματα. Το τρίτο εξάμηνο είναι αφιερωμένο στην εκπόνηση της διπλωματικής εργασίας.

Semester 1
The first semester of the program provides students with the basic theoretical and practical knowledge required to understand advanced technologies in biomedical science. Courses cover basic mathematical tools, artificial intelligence and machine learning, as well as bioinformatics and medical signal processing. This knowledge forms the fundamental basis for further specialization in the following semesters, where students will choose the direction they wish to pursue.

• Advanced Mathematical Techniques for Biomedical Data Science (7,5 ECTS)
• Machine Learning and AI for Biomedical Applications (7,5 ECTS)
• Precision Medicine and Pharmacogenomics (7,5 ECTS)
• Medical Imaging and Signal Processing with AI (7,5 ECTS)

Semester 2
The second semester allows students to specialize by choosing one of the two available tracks: digital biomedicine or bioinformatics. Digital Biomedicine: focuses on modern applications of biomedical technology, big data processing in health care and the use of artificial intelligence for diagnosis and treatment. Students will also study the ethical and legal implications of digital biomedicine. Bioinformatics: focuses on bioinformatics, computational biology and data management derived from modern atomic technologies. Students will learn to apply machine learning algorithms to analyze genomic data and tailor therapeutic interventions. This semester enables students to gain specialized knowledge and prepare for the final stage of their studies, which includes the thesis.

Κατεύθυνση "Digital Biomedicine"

• Big Data and Cloud Computing in Digital Health (7,5 ECTS)
• AI-driven Diagnostics and Decision Support Systems (7,5 ECTS)
• Ethics, Regulations, and Data Privacy in Digital Biomedicine (7,5 ECTS)
• Digital Therapeutics and Smart Healthcare Systems (7,5 ECTS)

Κατεύθυνση "Bioinformatics"

• Computational Biology and Systems Medicine (7,5 ECTS)
• Omics Data Integration for Precision Medicine (7,5 ECTS)
• Clinical Pharmacology and Therapeutics (7,5 ECTS)
• Machine Learning in Next-Generation Sequencing Data (7,5 ECTS)

Semester 3

• DISSERTATION (30 ECTS)