Μ.Sc. in Statistics
STUDIES OBJECTIVE The postgraduate program of Μ.Sc. in Statistics provides specialized knowledge at postgraduate level to graduates of Greek and foreign Universities in the basic fields of Statistics and Probability.
The program’s objective is to train postgraduate students to the following fields:
Computational Statistics and Big Data
Theory and Applications of Stochastic Processes
Classes take place 4 mornings per week.
The study program mainly aims at full training and specialization of scientists with statistical or mathematical knowledge, in the science of Statistics and its applications, in order to be able to deal with and solve various problems in a quantitative way, both in the public and private sector. List of courses by semester:
During the first semester there are 4 obligatory courses offered. In the second semester, there are 3 course groups (Applied Statistics, Computational Statistics, Stochastics), each including 5 courses. Students choose two course groups and four courses out of each group.
Probability and Statistical Inference (7,5 ECTS)
Computational Statistics (7, 5 ECTS)
Generalized Linear Models (7,5 ECTS)
Data Analysis (7,5 ECTS)
OPTIONAL (4 out of 5 courses) Biostatistics (4 ECTS)
Epidemic Models (4 ECTS)
Advanced Survey Sampling Methods (3,5 ECTS)
Statistical Quality Control (3,5 ECTS)
Topics in Applied Statistics (3,5 ECTS)
OPTIONAL (4 out of 5 courses) Bayesian Models in Statistics (4 ECTS)
Statistical Learning (4 ECTS)
Big Data Statistics (3,5 ECTS)
Advanced Stochastic Processes (3,5 ECTS)
Topics in Computational Statistics (3,5 ECTS)
OPTIONAL (4 of 5 courses) Probability Theory (4 ECTS)
Time Series Analysis (4 ECTS)
Stochastic Modeling in Finance (3,5 ECTS)
Financial Econometrics (3,5 ECTS)
Topics in Stochastics (3,5 ECTS)
Thesis Writing (30 ECTS)
You can find a short description of the courses here.
The programs regulation is here (in Greek).
The PD for the program's regulation can be found here (in Greek).