Courses - Data Science and Information Technologies

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)

Code	Course Title	Semester	Instructor	Required	Elective
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
M416	Biology-Physiology	Fall	Anastasiadou, Stravopodis, Tsitsiloni	2
M417	Introduction to Biotechnology	Fall	Tsangaris, Stravopodis, Tsitsiloni	2
M104	Geometric data analysis	Fall	Emiris		1, 2
M404	Biostatistics	Fall	Linardatos		1, 2
M402	Clustering Algorithms	Fall	Koutroumpas		1, 2

M420	Molecular Modeling of Biomolecules	Fall	Cournia		2
M115	Image processing and analysis	Spring	Katsouros,Papavasiliou	1, 2
M149	Database Systems	Spring	Koutrika	1	2
M411	Big Data Management	Spring	Doka, 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
M415	Computer Vision	Spring	Avrithis, Psomas		1
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
M725	Information Theory	Fall/Spring			1

*More info on the courses here