The program requires full time attendance and involves face-to-face classroom and laboratory activities, self-study and participation in other program activities.
The courses are taught in Greek language. However, in order to facilitate the internationalization of the program (e.g. invitation of instructors from abroad) part of the courses can be taught in another official EU language, as English. Moreover, there is the intention for the lectures to be provided through the open online academic courses platform.All students are required to attend and succeed in 10 courses in total.
The 4th semester includes the master’s thesis preparation and examination.
All courses must be passed with a minimum grade of 5.00 (50%) in order for a degree to be assessed / awarded.
Graduate students are required to fully attend the lectures, the laboratories and generally all the activities foreseen. Absence of more than 20% (lectures, laboratories, field exercises or non-timely delivery of the work) automatically leads to disqualification from the examinations of the respective course and the Graduate student is required to attend the course in the next corresponding semester. In addition, it is mandatory for the Graduate Students to attend and participate in all the activities of the program. Absence from the scientific and research activities carried out under the program, such as conferences, seminars etc., lead to exclusion from the examination of the course.
Absence from any examination due to exceptional circumstances must be justified and properly documented. Each graduate student may take any single examination at most twice. Having failed twice the examination, either his/her enrollment in the program is being terminated or he/she is given the possibility of an additional examination, if exceptional circumstances justify the reduced performance or the course repetition in an upcoming semester. The grades of the successfully attended courses are guaranteed.
Students who fail two or more courses in each semester are dismissed from the program. In any case, they may be re-examined after the end of the examination period of June.
• To expand the field of knowledge of graduates and develop their research skills in scientific fields related to Computers and Networks.
• To update and strengthen the knowledge and skills of professionals already working in the field of Computer and Network Engineering in order to meet the challenges of a constantly evolving sector.
Outline of the student programs of study
The program’s duration is four (4) academic semesters. All students are required to attend and succeed in 10 courses in total. The 4th semester includes the master’s thesis preparation and examination. The courses being taught in every semester equal to 30 ECTS credits, while the thesis equals to 30 ECTS credits. The MSc degree is awarded after the completion of 120 ECTS credits.
Every academic semester includes at least thirteen (12) full weeks of instruction. The lectures of the 1st semester of each academic year begin on October 1st and end on January 31st and the lectures of the 2nd semester of each academic year begin on March 1st and end on May 31st.
|Postgraduate Studies Program “Computer and Network Engineering”
(1/10 – 31/1)
4 Compulsory Courses
(1/3 – 31/5)
3 Compulsory Courses of specialization
(1/10 – 31/1)
1 Compulsory Course of specialization and
2 Elective Courses of specialization
(1/3 – 31/5)
|Master’s thesis||30 ECTS|
Methods of evaluating student performance
The examination of each course can be done orally, in writing, with assignments or in any other way determined by the instructor. Exams and personal assignments are used in almost all courses and supplementary methods such as presentations, participation in research work are used in many courses, as well. Exams are held twice a year, at the end of each semester: from 01-20 February for the winter semester, and from 20 to 30 June for the spring semester. The resits take place during the first half of September of the next academic year. In exceptional cases, the time of the exams may be amended or postponed or a third examination period may be organized in the first half of September of the next academic year.
Aims and Learning outcomes of the study program
Measurable students learning outcomes (Skills, Competences, Attitudes)
The Postgraduate Studies Program of Computer and Network Engineering aims to:
• expand the field of knowledge of graduates and develop their research skills in scientific fields related to Computers and Networks,
• update and strengthen the knowledge and skills of professionals already working in the field of Computer and Network Engineering in order to meet the challenges of a constantly evolving sector, and in general
• to equip its graduates with additional skills and competence in the application of modern technologies related to Computers and Networks to their professional work environment so as to become more competitive.
More specifically, students will be able to understand, design and implement:
• the modern principles of the security of computer systems
• programming technique of the mobile devices and development of relevant applications
• principles and advances of modern operational systems
• modern computer architectures
• modern advanced programming methods
• current modern topics of data bases
• agile and iterative methods of software development and to get familiar with the object-oriented development of web software
• the structure and the operation of embedded systems with emphasis on the programming methodology, their interconnections and performance
• the theory and advances of telecommunication networks
• problem-solving techniques (such as Linear Programming) and their application for cost reduction, profit increase, better use of resources
• advanced methods for simulating networks and telecommunication systems
• programming mobile devices
• advanced data analysis and data processing techniques, as well as data presentation techniques, and moreover their application to big data
• basic principles of the biostatistics methodologies, medical and biological data collection, processing and presentation
• biosignal processing and analysis
• intelligent medical systems
• automated information retrieval techniques, internet users’ preferences and opinions text, retrieval and recommender systems
• business information systems
• advanced computational methods inspired by biological and physical models applied to intelligent/smart construction of adaptive systems based on available data, non-algorithmic solving of complex data problems, decision support etc. To deepen into intelligent techniques through their use in concrete practical problems.
• basic mathematical and statistical techniques for pattern recognition.
• prototyping and verification procedures of digital systems based on SoC, ASIC & FPGA
• the structure of embedded systems that are designed to function “autonomously”
• integrated amplifier circuits at microwave frequencies based on scattering parameters and using specialized CAD packages.
• circuits in nanometer technologies
After graduation, the students of the Postgraduate Studies Program Computer and Network Engineering will be able to apply modern technologies related to Computers and Networks to their professional work environment.