This page offers information about the curriculum, including the courses and their structure, as well as the length, structure, and content of the semesters.
Furthermore, you can find a comprehensive list of completed master's theses since the inception of the program during the academic year 2019-2020.
The duration of the Inter-institutional Master's Program is 18 months. It consists of two semesters of study and one semester for the development of the MSc thesis.
Typically, the courses are held at the premises of the Inst. of Informatics and Telecommunications of NCSR “Demokritos”, usually Monday to Friday from 18:00 to 21:00. However, it is possible to hold additional lectures, presentations or seminars depending on the needs of the study program in NCSR “Demokritos” or in other places.
The MSc accepts applications for study usually in April and May of each year.
The calendar is typically structured as follows:
1st SEMESTER (WINTER)
The 1st semester usually starts in October and ends in January. It includes 1 preparatory and 5 compulsory courses. Each course consists of 13 lectures, while it is possible to schedule courses and presentations according to the needs of each course. After the end of the semester there is an examination period of 2 weeks.
2nd SEMESTER (SPRING)
The Second Semester starts in March and ends in June. It includes 6 courses, two compulsory and four electives. Each course consists of 13 lectures, while it is possible to schedule courses and presentations according to the needs of each course, followed by a 2-week examination period in July.
Students are examined for their knowledge either through written or oral exams, or through the preparation of assignments, or through a combination of the above methods. The method of examination of each course is announced in the first course lecture.
3rD SEMESTER (WINTER)
The 3rd Semester is devoted to the MSc thesis. This can be completed as part of internship with external partners.
According to the decision of the Special Inter-Institutional Committee, next to the title of each course, there are the indications C, P, E, which mean that the course is compulsory, preparatory and elective respectively.
Tutors: S. Konstantopoulos, A. Trompoukis, A. Charambidis
Tutors: Th. Giannakopoulos, G. Vouros
Tutors: G. Vouros
Tutors: Ο. Telelis
Tutors: A. Nousias, M. Dagioglou
Tutors: S. Konstantopoulos, M. Filippakis, C. Rekatsinas A. Charambidis, C. Spatharis
Tutors: N. Katzouris, E. Alevizos
Tutors: Th. Giannakopoulos, I. Maglogiannis
Tutors: Th. Giannakopoulos, G. Bouritsas, G. Vouros
Tutors: S. Konstantopoulos, G. Vouros, I. Maglogiannis, M. Halkidi, Ch. Rekatsinas, O. Telelis, M. Filippakis
Tutors: M. Dagioglou, C. Spatharis, G. Stavrinos
Tutors: E. Stamatatos
The Study Guide has been designed to assist you in obtaining a comprehensive understanding of what the MSc in Artificial Intelligence has to provide. Within this guide, you will discover information regarding the program's philosophy and objectives, the course structure and intended outcomes, as well as other useful material to reference throughout your studies.
REGULATION FOR THE WRITING OF THE MSc THESIS
PROCEDURE & GUIDELINES FOR THE MSc THESIS
MSc THESES FROM PREVIOUS YEARS
In 2019, the MSc in Artificial Intelligence welcomed its first cohort of students. Since then, many individuals have been admitted to the program and on this page you will find the master's theses of those who have completed their studies to date.
The page is organised as a list, with the names of the students and the titles of their master's theses. By clicking on the titles, you can find more information about the topics and the supervising professors. The papers are grouped by the year in which the students were admitted to the program.
Visit the page to see the full list.
More information about the MSc Thesis:
At the end of the second semester of each study cycle, the lecturers of the MSc program submit to the Director lists of thematic areas for MSc theses, which are made public to the students under the responsibility of the Director. The thematic areas must be part or a combination of different knowledge areas comprising the curriculum. Postgraduate students choose a subject area and a supervisor, where, with his approval, they submit a relevant application to the Secretariat.
The MSc thesis is evaluated based on the master's thesis documentation, the public presentation before the 3-member examination committee made by the student, as well as on the answers to questions put to him/her during the examination. The criteria concern the completeness and the originality of the theoretical study, as well as the development and application of AI methods, in the context of a theoretical or practical problem, based on the current and existing knowledge of the scientific community internationally.
The regulation for the preparation of the MSc Thesis refers to matters related to theses that are conducted during the 3rd academic semester of the Inter-institutional Postgraduate Program in "Artificial Intelligence". The regulation outlines the duration of the thesis preparation, issues concerning the assignment, examination, grading, and general communication with students.
The inter-institutional graduate studies program "ARTIFICIAL INTELLIGENCE" concerns the field of Artificial Intelligence, as a distinct field of computer science and offers courses that cover a wide range of science and modern technologies, following current needs and trends. It also creates the foundations for its graduates to apply and improve existing, as well as develop new and innovative, Artificial Intelligence methods, promoting science and technology in this special and particularly important field.
With this regulation, the official process for submitting and managing complaints from students in the Inter-institutional Postgraduate Program in "Artificial Intelligence" is implemented, ensuring their satisfaction with their studies and preserving the program's reputation. This procedure concerns all complaints related to the quality of educational and administrative services provided by the Department.
See the Complaint and Appeal Management Policy.
Mobility Coordinator: Maria Chalkidi
The mobility regulation outlines the mobility actions and programs available to students of the Inter-institutional Postgraduate Program in "Artificial Intelligence", as well as issues related to internships (selection of appropriate organizations, internship duration, compensation and insurance, funding).
See the Mobility and Internship Regulation.
The Curriculum Committee of the Inter-institutional Postgraduate Program in "Artificial Intelligence" assigns the role of Academic Advisor to the faculty members of the program for each incoming student. The number of students is evenly distributed among the faculty, and the assignment is made randomly. A student’s Academic Advisor remains the same throughout their studies until graduation.
See the Academic Advisor Policy.
© National Centre for Scientific Research "Demokritos" for the Institute of Informatics & Telecommunications and University of Piraeus for the Department of Digital Systems 2023. The contents of this website may be freely reproduced for non-commercial purposes.
