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M.Sc. in Statistics and Data Analytics - New (subject to approval)




The postgraduate program in applied statistics is to train postgraduate students to the following fields:



​In particular, the program aims to:

  1. Creating specialized scientists in fields compatible with the research activity, the respective specialization fields of the undergraduate program and with the department’s faculty.

  2. Educating senior executives of companies and organizations in the private and public sector in order to meet the needs of their specialized activities in data analysis.

  3. To internationally promote the University and to develop collaborative networks with the international scientific community and the maximum possible activation within the framework of the opportunities offered at European and global level.

  4. Linking the educational process to the needs of the market and the economy in general.


Since 2022, the program has received the EMOS certification. A specific number of students per year can take part in the EMOS program. More info about the program are here.

For the EMOS course syllabus, click here.


Change to the old MSc in Applied Statistics program (until 2022-23)

The duration of the Program is five semesters, of which the 5th is dedicated to the thesis writing. Classes take place 2 afternoons per week. 


During the first, second and third semester there is a total of eight obligatory courses. In the third semester there are two obligatory courses and one optional. On the fourth semester, there are three optional courses.

1st Semester


2nd Semester



3rd Semester


OPTIONAL COURSE taken from the list below 

4rt Semester

Three Optional Courses taken from the list below (15 ECTS in total):



5th Semester

Thesis writing (30 ECTS)

You can find a short description of the courses here.

​The programs regulation is here (in Greek).

Proclamation for the academic year 2024-25.

Hellenic Statistical Authority - EMOS  - Post-graduate education in Official Statistics at European level.

Complaint Form.

Quality Assurance Policy (in Greek)

Data Analysis
Big Data and Computational Statistics
Applied Probability
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