ΔΠΜΣ: MSc in Data Science & Information Technologies

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το άρθρο ενημερώθηκε στις 30.12.2025

Σε ποιον ταιριάζει το ΔΠΜΣ MSc in Data Science & Information Technologies;

Το Διιδρυματικό Πρόγραμμα Μεταπτυχιακών Σπουδών «MSc in Data Science & Information Technologies» απευθύνεται σε πτυχιούχους πληροφορικής, μαθηματικών, στατιστικής, μηχανικής, θετικών επιστημών και συναφών γνωστικών πεδίων που επιθυμούν να αποκτήσουν προχωρημένη, διεπιστημονική και εφαρμοσμένη κατάρτιση στην επιστήμη δεδομένων και στις σύγχρονες τεχνολογίες πληροφορικής. Το πρόγραμμα εστιάζει στη στατιστική και πιθανοθεωρία, στη μηχανική μάθηση, στην εξόρυξη δεδομένων, στη διαχείριση μεγάλων δεδομένων, στην τεχνητή νοημοσύνη, στις βάσεις δεδομένων και στις υπολογιστικές υποδομές, συνδυάζοντας ισχυρό θεωρητικό υπόβαθρο με πρακτικές εφαρμογές σε πραγματικά δεδομένα. Προετοιμάζει τους φοιτητές για απαιτητικούς ρόλους ανάλυσης, σχεδιασμού και υλοποίησης λύσεων δεδομένων σε ακαδημαϊκά και επαγγελματικά περιβάλλοντα.

Ταιριάζει ιδιαίτερα σε όσους:

έχουν ενδιαφέρον για την ανάλυση δεδομένων και τις τεχνολογίες πληροφορικής.

θέλουν να εξειδικευτούν στην επιστήμη δεδομένων και τη μηχανική μάθηση.

επιθυμούν να κατανοήσουν σε βάθος στατιστικές και υπολογιστικές μεθόδους.

αναζητούν ένα ΠΜΣ με έντονο ποσοτικό, τεχνολογικό και εφαρμοσμένο χαρακτήρα.

ενδιαφέρονται για εφαρμογές δεδομένων σε επιχειρήσεις, έρευνα και τεχνολογία.

θέλουν να αναπτύξουν δεξιότητες ανάλυσης, προγραμματισμού και μοντελοποίησης.

επιδιώκουν επαγγελματική ή ακαδημαϊκή εξέλιξη στον ταχέως αναπτυσσόμενο χώρο των δεδομένων.

Το ΔΠΜΣ αποτελεί κατάλληλη επιλογή για όσους στοχεύουν στη συστηματική και επιστημονικά τεκμηριωμένη αξιοποίηση δεδομένων, με έμφαση στην ακρίβεια, την τεχνολογική καινοτομία και τη λήψη τεκμηριωμένων αποφάσεων.

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Συνεργαζόμενα τμήματα & φορείς:

Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens

Biomedical Research Foundation of the Academy of Athens (BRFAA)

ATHENA Research and Innovation Center.

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ΔΠΜΣ: «MSc in Data Science & Information Technologies»

Έδρα:

Διεύθυνση – Πόλη διεξαγωγής:  National and Kapodistrian University of Athens – Department of Informatics and Telecommunications – Panepistimioupolis, Ilisia – Athens, 15784

Τηλέφωνα: 210 7275337 E-mail: kkanavou@di.uoa.gr.

Γνωστικό Αντικείμενο – Σκοπός :

The rapid advances in the fields of Data Science, Machine learning, and Artificial Intelligence (AI) and their widespread use in the Life Sciences (biology, biotechnology, medicine) create new challenges but also exciting new career opportunities for young, dynamic university graduates with different backgrounds (computer scientists, engineers, biologists, biotechnologists, medical doctors etc) who are eager to deepen their understanding in these important and fast developing fields heavily depending on advanced Information Technology skills.

The Master’s Program “Data Science and Information Technologies (DSIT)” is by its very nature intensely interdisciplinary. Its objective is to deepen the knowledge and strengthen the skills of its students with an emphasis in Data Science, Big Data, AI, applied mathematics, statistical methods, as well as their application in Bioinformatics, Biomedical Data Science, and the Life Sciences in general. The program focuses on subjects related to the management, processing, analysis, and software for massive or complex data, on which machine learning and AI can be based, as well as on the development of mathematical models, algorithms, statistical analysis, image analysis methods, and tools for bioinformatics, computational and systems biology, in the era of heterogeneous -omics big data aiming to improve human health.

The goal of the program,s to provide top-quality education in Informatics, Data Science, Artificial Intelligence, Machine Learning, Bioinformatics and Computational Biology. The two specializations have been designed according to international standards in order to meet the needs of the European academia and job market

Τίτλος Σπουδών:

The DSIT program awards Masters of Science (M.Sc) degrees in two specializations:

      • Big Data and Artificial Intelligence
      • Bioinformatics – Biomedical Data Science

Διάρκεια σπουδών : The duration of the studies leading to the Master’s degree is at the minimum three and at the maximum five academic semesters. Under special circumstances, the Special General Assembly (SGA) may extend this time limit.

Γλώσσα Διδασκαλίας: All coursework and lectures are in English.

Δίδακτρα: The fees are € 900 / semester.

Κατηγορίες και αριθμός εισακτέων:

Categories and number of admitted students
The Postgraduate Program “Data Science and Information Technologies” admits students holding a first degrees issued by the following Departments: Computer Science, Informatics, Applied Mathematics, Mathematics, Engineering, Biology, Medicine and other related fields of Academic Institutions in Greece or abroad, recognized by the Hellenic NARIC (National Academic Recognition Information Center) organization.

Foreign students as well as graduates of other departments of Greek or foreign academic institutions, recognized by the Hellenic NARIC are welcomed as well. The post graduate program “Data Science and Information Technologies” will admit up to forty (40) students per academic year. The program admits up to 20 students per specialization.

Διαδικασία επιλογής και εγγραφή επιτυχόντων

First degree (BSc) holders in Computer Science, Mathematics, Applied Math, Engineering, Biology, Medicine and related subjects from Greek or foreign Universities are welcome to apply. Graduates of non-Greek institutions should consult the Hellenic NARIC organization (http://www.doatap.gr/en/) regarding degree recognition.

Πρόγραμμα Σπουδών (Μαθήματα – ECΤS)

The MSc Program „Data Science and Information Technologies (DSIT)“ is by its very nature intensely interdisciplinary. We exploit the fact that the program is articulated on two, complementary tracks. In particular, students in each track may choose electives from the other track, if they target a more balanced acquisition of skills, or they may choose to deepen the study of their track by opting for electives in that track.

To obtain the MSc degree, students should pass successfully 4 compulsory courses per semester corresponding to their track of study, and one additional elective course per semester, for their first two semesters. They must also complete successfully and defend orally their MSc Thesis during the 3rd semester.

The application form and all required documents can be found in here (.pdf)

For the structure of the program as well as its rules and regulations please click here (.pdf in English) or here (.pdf in Greek).

Specialization: LARGE DATA AND ARTIFICIAL INTELLIGENCE

First Semester

Compulsory Courses

      • High Scale Data Analysis
      • Database systems
      • Knowledge Technologies
      • Machine Learning

Elective Courses (choose one)

      • Grouping Algorithms
      • Biostatistics
      • Natural language editing
      • Social Extensions of Knowledge Technologies and the 4th Industrial Revolution
      • Time data analysis and applications
      • Introduction to Bioinformatics
      • Information Theory
      • Optimization Theory and Algorithms
      • Special Topics in Big Data and Artificial Intelligence

Second Semester

Compulsory Courses

      • Depth neural networks
      • Internet of Things
      • Big Data Management
      • Image Analysis and Processing

Elective Courses (choose one)

      • Analysis of Geometric data
      • Data Science and Information Technology Applications in Neuroscience
      • Data Science and Information Technology Applications in Medicine
      • Data Science & Information Technology Innovations
      • Algorithms in Molecular Biology
      • Mechanical Learning in Computational Biology
      • Computer Vision
      • Special Topics in Big Data and Artificial Intelligence

Third Semester

      • Compulsory Courses Preparation of postgraduate

Specialization: BIOINFORMATICS – BIOMEDICAL DATA SCIENCE

First Semester
Compulsory Courses

      • Biology- Physiology
      • Introduction to Bioinformatics
      • Introduction to Biotechnology
      • Machine Learning

Elective Courses (choose one)

      • Grouping Algorithms
      • Biostatistics
      • Natural language processing
      • Social Extensions of Knowledge Technologies and 4th Industrial Revolution
      • High Scale Data Analysis
      • Molecular Modeling of Biomolecules
      • Database systems
      • Knowledge Technologies
      • Special topics in Bioinformatics

Second Semester
Compulsory Courses

      • Algorithms in Structural Bioinformatics 6
      • Algorithms in Molecular Biology 6
      • Machine Learning in Computational Biology 6
      • Image Analysis and Processing

Elective Courses (choose one)

      • Analysis of Geometric data
      • Data Science and Information Technology Applications at Neuroscience
      • Data Science and Information Technology Applications at Medicine
      • Data Science & Information Technology Innovations
      • Depth Neural Networks
      • Big Data Management
      • Special topics in Bioinformatics.

Third Semester
Compulsory Courses

      • Preparation of postgraduate thesis

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Έλεγχος Καταλληλότητας
Δες αν το Π.Μ.Σ.: «MSc in Data Science & Information Technologies» του Εθνικού Καποδιστριακού Πανεπιστημίου Αθηνών (Ε.Κ.Π.Α.) ταιριάζει στις δικές σου φιλοδοξίες;