Course Catalog and Content – New Curriculum

SN	COURSES	Credit Units (ECTS) (Ισχύς από ακαδ. έτος 2023-2024)
COMPULSORY COURSES
1.	Introduction to Probability	4
2.	Introduction to Epidemiology	4
3.	Introduction to Statistical Inference and Biostatistics	9
4.	Regression and Analysis of Variance	7
5.	Generalized Linear Models	10
6.	Survival Analysis	7
7.	Statistical Methods in Epidemiology or Statistical Methods in Epidemiology or Health Data Science II: Electronic Data Management	10
8.	Research Methodology	7
ELECTIVE COURSES with 6 ECTS (category I)
9.	Non-Parametric Statistics	6
10.	Health Data Science I : Databases and Data Organization, Management and Visualization	6
11.	Genetic and Molecular Epidemiology	6
12.	Clinical Trials	6
13.	Sampling Methods	6
14.	Repeated Measurements Data Analysis	6
15.	Bayesian Inference I	6
16.	Bayesian Inference II	6
17.	Multivariate Analysis	6
18.	Missing Data Analysis	6
19.	Basic Principles of Molecular Evolution and Phylogenetic Analysis	6
20.	Environmental Epidemiology	6
21.	Special issues of Biostatistics	6
22.	Machine Learning Models	6
23.	Mathematical models in infectious diseases	6
ELECTIVE COURSES with 2 ECTS (category II)
24.	Meta-analysis	2
25.	Simulation	2
26.	Pharmacometry	2
27.	Nutritional Epidemiology	2
28.	Special topics of Data Analysis	2
29.	Introduction to Health Economics	2
30.	Introduction to the Python	2
31.	Mixed Research Methods	2

To receive the MSc degree, the student is required to accumulate a total of:

1. 58 ECTS from the compulsory courses,
2. 32 ECTS from elective courses,
3. 30 ECTS from the preparation of a Dissertation Thesis,

in order to achieve a total of 120 ECTS.

*The above curriculum is valid from the academic year 2023-24

Not all elective courses are offered every year. The program's commission decides which of them will be taught, depending on the total number of credits offered and the capabilities of the program.