The total number of Credit Units (ECTS) required to complete the M.Sc. degree is 90. Each course corresponds to 6 Credits and the Master Thesis corresponding to 30 ECTS Units. The courses offered are divided into compulsory core courses and elective courses. Each student is required to attend four (4) core courses and one (1) elective course in each of the first two semesters. The third semester is devoted to the Master’s Thesis. Student attendance of courses is mandatory.
The electives are not all offered every year and are taught on a rotation basis. Further changes in the program (e.g. name of instructor, change of semester that a course is offered) are shown in the list below. Changes of compulsory and elective courses and their number of ECTS are decided by the Special Committee in accordance with current legislation, and the rules of the graduate program.
Boot camp on “PYTHON and Data Science”.
During the first week of courses, namely Monday 28 September to Friday 2nd October 2020, an intensive course on “Python and Data Science” shall be held at the Linux Lab of the Dept of Informatics & Telecoms, by Dr T. Dalamagas.
Offered courses (numbers in the last two columns correspond to direction of studies)
|M430||Machine Learning||Fall||Perantonis||1, 2|
|M161||Big Data Analytics||Fall||Gunopulos||1||2|
|M164||Knowledge Technologies||Fall||Koubarakis, Tsalapati||1||2|
|M401||Deep Neural Networks||Fall||Papageorgiou, Kolovou||1||2|
|M413||Introduction to Bioinformatics||Fall||Reczko, Dimopoulos||2||1|
|M417||Introduction to Biotechnology||Fall||Tsaggaris||2|
|M104||Geometric data analysis||Fall||Emiris||1, 2|
|M402||Clustering Algorithms||Fall||Koutroumpas||1, 2|
|M405||Deep Learning for NLP (for 2nd year students)||Fall||Koubarakis||1|
|M420||Molecular Modeling of Biomolecules||Fall||Cournia||2|
|M115||Image processing and analysis||Spring||Katsouros,Papavasiliou||1, 2|
|M411||Big Data Management||Spring||Doulas||1||2|
|M412||The Internet of Things||Spring||Hadjiefthimiadis||1||2|
|M103||Algorithms in Structural Bioinformatics||Spring||Emiris, Chrysina||2|
|M403||Algorithms in Molecular Biology||Spring||Dalamagas||2||1|
|M410||Machine learning in computational biology||Spring||Manolakos||2||1|
|M405||Natural Language Processing||Spring||Papageorgiou (Kolovou)||1, 2|
|M407||Applications of Data Science and Information Technologies in Neurosciences||Spring||Vekrellis, Ouzounoglou||1, 2|
|M421||Time series data analysis and applications||Spring||Pikrakis||1|
|M460||Special topics: Data Visualization||Spring||Roussou||1, 2|
|M406||Applications of Data Science & Information Technologies in Medicine||Fall/Spring||1, 2|
|M408||Innovations in Data Science & Information Technologies||Fall/Spring||1, 2|
|M409||Social Implications of knowledge technologies and the 4th industrial revolution||Fall/Spring||1, 2|
|M414||Optimization: Theory and Algorithms||Fall/Spring||1|
|M460||Special topics in Big Data and Artificial Intelligence||Fall/Spring||1|
|M480||Special topics in Bioinformatics||Fall/Spring||2|
*More info on the courses here