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MSc in Applied Statistics and Data Analytics

 

 

 

STUDIES OBJECTIVE
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.

 

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. 

 

EMOS

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.

 

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LIST OF COURSES BY SEMESTER

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

COMPULSORY


2nd Semester

COMPULSORY

 

3rd Semester

COMPULSORY

OPTIONAL COURSE taken from the list below 

4rth Semester

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

OPTIONAL COURSES LIST

 

5th Semester

Thesis writing (30 ECTS)

​The programs regulation is here (in Greek).

Change to the old MSc in Applied Statistics program (until 2023-24)

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
Biostatistics
Big Data and Computational Statistics
Applied Probability
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