MSc in Applied Statistics

MSc in Applied Statistics

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. 

Course list:

​During the first, second and third semester there is a total of eight obligatory courses. In the third and fourth semester, there are four optional courses.

First Semester

OBLIGATORY

  • Applied Probability – Estimation  (5 ECTS)
  • Hypothesis Testing – Linear Models (5 ECTS)
  • Statistical Applications using R (5 ECTS)

Second Semester

OBLIGATORY

  • Optimization Techniques (5 ECTS)
  • Generalized Linear Models (5 ECTS)
  • Time Series Analysis and Forecasting using R (5 ECTS)

Third Semester

​OBLIGATORY

  • Medical Statistics (5 ECTS)
  • Computational Statistics using R (5 ECTS)
  • 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

  • Applied Bayesian Statistics (5 ECTS)
  • Statistical Learning (5 ECTS)
  • Survival Analysis (5 ECTS)
  • Stochastic Dynamic Programming (5 ECTS)
  • Sampling (5 ECTS)
  • Quality Control and Reliability (5 ECTS)
  • Demography (5 ECTS)
  • High dimensional Statistics (5 ECTS)
  • Clinical Trials (5 ECTS)
  • Decision Analysis and Game Theory (5 ECTS)
  • Inventory Theory and Supply Chain Management (5 ECTS)
  • Financial Mathematics with Applications in MATLAB and PYTHON (5 ECTS)

Fifth Semester

Thesis writing (30 ECTS)

You can find a short description of the courses here.

The program regulation is here (in Greek).

The PD for the program's regulation can be found here​ (in Greek).

Proclamation for the academic year 2020-21