MSc in Applied Statistics and Data Analytics

STUDIES OBJECTIVE

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

1. Data Analysis
2. Biostatistics
3. Big Data and Computational Statistics
4. Applied Probability

​In particular, the program aims at:

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 promoting 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.

Course list:

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.

First Semester

OBLIGATORY

• Applied Probability and Statistics (5 ECTS - EMOS)
• Statistical Methods for Data Analytics (5 ECTS - EMOS)
• Programming in Data Analytics (5 ECTS - EMOS)

Second Semester

OBLIGATORY

• Optimization Techniques in Data Analytics (5 ECTS)
• Statistical Data Modelling (5 ECTS - EMOS)
• Time Series Analysis and Forecasting (5 ECTS - EMOS)

Third Semester

​OBLIGATORY

• Applied Biostatistics (5 ECTS)
• Computational Methods in Statistical Data Science (5 ECTS - EMOS)
• Optional Course taken from the list below (5 ECTS)

Fourth Semester

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

​Optional Courses List

• ​Bayesian Data Analysis (5 ECTS)
• Statistical and Machine Learning (5 ECTS - EMOS)
• Censored Data and Survival Analysis (5 ECTS)
• Sampling Techniques (5 ECTS - EMOS)
• Statistical Quality Control (5 ECTS)
• High dimensional Statistics and Big Data (5 ECTS)
• Design and Analysis of Clinical Trials (5 ECTS)
• Inventory Theory and Supply Chain Management (5 ECTS)
• Financial Mathematics and Analytics (5 ECTS)
• Demographic Techniques (5 ECTS - EMOS)
• Decision Analysis and Game Theory - (5 ECTS)
• Official Statistics and Index Numbers Methodology (5 ECTS - EMOS)
• Topics in Official Statistics: National Accounts and Survey Data Analysis (5 ECTS - EMOS)

Fifth Semester

Thesis writing (30 ECTS)

• Regulation (in Greek)

• Instructions (in Greek)

• First Pages in Greek and English

• Instructions for delivering the thesis (in Greek)

You can find a short description of the courses here.

The programs regulation is here (in Greek).

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

​Proclamation for the academic year 2024-25.

Course and Exams program can be found here.

The study guide can be found here.

Website

The Quality Assurance Policy of the Department of Statistics can be found here.