Graduate Programme
Data Analysis & Machine-Statistical Learning
An Academic Ecosystem
Prospects
UOC and FORTH provides an ideal environment to learn, work and develop necessary skills in Data Science and Machine-Statistical Learning
Information about your application
Provide high quality education
Develop collaborations between academia and industry
Development of new and innovative ideas
Enhancement of Basic Research Output
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Study at the University of Crete
DAMSL-List of topics to choose for thesis research paper
To our postgraduate student, click following link to view a list of topics, to choose for your thesis research paper.
Call for Applicants for the Master’s Programme on “Data Analysis & Machine-Statistical Learning – DAMSL”, Deadline: May 26th 2025
The Department of Mathematics & Applied Mathematics of the University of Crete, the Department of Computer Science of the University of Crete, the Institute of Applied & Computational Mathematics (IACM) of FORTH and the Institute of Computer Science (ICS) of...
Spring Semester 2024-25 / Εαρινό Εξάμηνο 2024-2025
Classes begin on Monday February 10th / Έναρξη μαθημάτων Δευτέρα 10 Φεβρουαρίου Timetable / Ωρολόγιο DAMSL-102Mathematical & Computational StatisticsΚαμαριανάκηςΔευτέρα και Τετάρτη A208 6-8DAMSL-210/ΕΥΜ272Modeling of Physical Systems and Machine Learning...
Πρώτη διάλεξη του ΤALOS-LAB με θέμα “Ηθικά ζητήματα και Τεχνητή Νοημοσύνη”
Το Εργαστήριο "Τάλως - Τεχνητή Νοημοσύνη για τις Ανθρωπιστικές και Κοινωνικές Επιστήμες" του Πανεπιστημίου Κρήτης εγκαινιάζει μια νέα σειρά διαλέξεων για το ευρύ κοινό με θέμα την Τεχνητή Νοημοσύνη (ΤΝ). Η σειρά διαλέξεων επιδιώκει να φέρει τους πολίτες σε επαφή με...
Fall Semester, Χειμερινό Εξάμηνο 2024-2025
Classes begin on Monday September 23rd, Έναρξη μαθημάτων Δευτέρα 23 Σεπτεμβρίου
General Characteristics
90
Duration
Three semesters (full time)
Starts
September each year
Language
English
Fees
- EU students: 2000€
- Non EU students: 3500€
Language: The official language of the programme is English
Courses: There are three type of courses: Preparatory, Core and Elective.
Maximum number of admitted students per year: 30 after open call, selection is based on academic qualifications and interview.