Curriculum of the Department of Statistics and Insurance Science
The Study Program is presented in detail by semester below. Each course corresponds to 5 ECTS credits. Specifically, the study program includes a total of 57 courses, each with 5 ECTS credits.
1st Year
| 1st Semester Courses |
Hours/Credits |
|
ECTS |
| Introduction to Probabilities |
3/101 |
Y |
5 |
| Financial Mathematics |
3/204 |
Y |
5 |
| Mathematics I |
3/103 |
Y |
5 |
| Introduction to Statistics |
3/104 |
Y |
5 |
| Financial Accounting |
3/106 |
Y |
5 |
| Μικροοικονομική Ι |
3/108 |
Y |
5 |
| Methodology of Educational Research |
3/107 |
ΠΕ |
5 |
| Αγγλικά Ι |
3/109 |
ΠΕ |
5 |
| 2nd Semester Courses |
Hours/Credits |
|
ECTS |
| Probabilities I |
3/201 |
Y |
5 |
| Statistics I |
3/202 |
Y |
5 |
| Mathematics II |
3/203 |
Y |
5 |
| Banking Accounting and Insurance Org Accounting |
3/205 |
Y |
5 |
| Microeconomic Theory |
3/206 |
Y |
5 |
| Εισαγωγή στο Δίκαιο |
3/208 |
Y |
5 |
| Educational Technology |
3/207 |
ΠΕ |
5 |
|
| Αγγλικά ΙΙ |
3/209 |
ΠΕ |
5 |
|
2st Year
| 3rd Semester Courses |
Hours/Credits |
|
ECTS |
| Probabilities II |
3/301 |
Y |
5 |
| Regression Analysis |
3/303 |
Y |
5 |
| Regression Analysis |
3/304 |
Y |
5 |
| Financial Analysis |
3/305 |
Y |
5 |
| Linear Algebra |
3/306 |
Y |
5 |
| Educational Psychology – Designing online courses-Moodle |
3/307 |
ΥΕ |
5 |
| Educational Assessment |
3/308 |
ΥΕ |
5 |
| Αγγλικά ΙΙΙ |
3/309 |
ΠΕ |
5 |
| 4th Semester Courses |
Hours/Credits |
|
ECTS |
| Statistics II |
3/401 |
Y |
5 |
| Stochastic Processes |
3/402 |
Y |
5 |
| Data Analysis with Python |
3/408 |
Y |
5 |
| Analysis of Variance |
3/404 |
Y |
5 |
| Social Insurances |
3/405 |
Y |
5 |
| Critical Thinking and Statistical Reasoning |
3/407 |
Y |
5 |
3st Year
| 6th Semester Courses |
Hours/Credits |
|
ECTS |
| Economic Time Series Analysis |
3/601 |
Y |
5 |
| Loss Distributions |
3/602 |
Υ |
5 |
| Life Insurances |
3/604 |
Y |
5 |
| Research Methodology |
3/605 |
Y |
5 |
|
Practical Exercise in Microteaching
|
|
3/606 |
Y |
5 |
| Applied Statistics |
3/607 |
ΥΕ |
5 |
| Quality Control Statistics |
3/608 |
ΥΕ |
5 |
| Designing Socio-Economic Research (Elective) |
3/603 |
ΥΕ |
5 |
4st Year
| 7th Semester Courses |
Hours/Credits |
|
ECTS |
|
Non-Parametric Statistics
|
|
3/701 |
Y |
5 |
| Machine Learning |
3/702 |
Y |
5 |
| Bayesian Statistics |
3/703 |
Y |
5 |
| Operational Research |
3/704 |
Y |
5 |
| Data Analysis in Energy (Elective) |
3/705 |
ΥΕ |
5 |
| Survival Analysis (Elective) |
3/706 |
ΥΕ |
5 |
| Data Mining (Elective) |
3/707 |
ΥΕ |
5 |
| Special Topics in Econometrics (Elective) |
3/708 |
ΥΕ |
5 |
| Πρακτική Άσκηση |
709 |
ΥΕ |
10 |
| 8th Semester Courses |
Hours/Credits |
|
ECTS |
| Statistical Programs II |
3/801 |
Y |
5 |
| Multicriteria Analysis |
3/802 |
Y |
5 |
| Business Administration |
3/803 |
Y |
5 |
| Simulation |
3/804 |
Υ |
5 |
| Multivariate Analysis (Elective) |
3/805 |
ΥΕ |
5 |
| Meta-analysis (Elective) |
3/806 |
ΥΕ |
5 |
| Big Data Analytics (Elective) |
3/807 |
ΥΕ |
5 |
| Programming (SQL) (Elective) |
3/808 |
ΥΕ |
5 |
| |
|
|
|
| Περιγραφή |
|
|
|
| Υ = Μαθήματα Υποχρεωτικά |
| ΥΕ = Υποχρεωτικά Επιλογής |
| ΠΕ = Προαιρετικό Επιλογής |
| |
Degree Requirements:
Successful examination in 48 courses corresponding to 240 ECTS credits is required, specifically:
- Successful examination in all compulsory (CP) courses offered in the program, either 41 courses corresponding to 205 ECTS credits.
- Successful examination in 7 elective (EP) courses of the program, 1 must belong to category A, 1 to category B, 1 to category C, 2 to category D, and 2 to category E as referred to in the following tables (35 ECTS credits).
| Category A (1 choice) |
Hours/Credits |
|
ECTS |
|
Category B (1 choice) |
Hours/Credits |
|
ECTS |
|
Educational Psychology – Designing online courses-Moodle
|
|
3/307 |
ΥΕ |
5 |
Biostatistics |
3/507 |
ΥΕ |
5 |
| Educational Assessment |
3/308 |
ΥΕ |
5 |
Data Management and Analysis |
3/508 |
ΥΕ |
5 |
| |
|
|
|
Actuarial Mathematics |
3/502 |
ΥΕ |
5 |
| Category C (1 choice) |
Hours/Credits |
|
ECTS |
Category D (2 choices) |
Hours/Credits |
|
ECTS |
| Applied Statistics |
3/607 |
ΥΕ |
5 |
Data Analysis in Energy |
3/705 |
ΥΕ |
5 |
| Quality Control Statistics |
3/608 |
ΥΕ |
5 |
Survival Analysis |
3/706 |
ΥΕ |
5 |
| Designing Socio-Economic Research |
3/603 |
ΥΕ |
5 |
Data Mining |
3/707 |
ΥΕ |
5 |
| |
|
|
|
Special Topics in Econometrics |
3/708 |
ΥΕ |
5 |
| Category E (2 choices) |
Hours/Credits |
|
ECTS |
|
|
|
|
| Πολυδιάστατη Ανάλυση |
3/805 |
ΥΕ |
5 |
|
|
|
|
| Μετα – Ανάλυση (Meta – analysis) |
3/806 |
ΥΕ |
5 |
|
|
|
|
| Ανάλυση – Διαχείριση Μεγάλων Δεδομένων (Big Data Analytics) |
3/807 |
ΥΕ |
5 |
|
|
|
| Προγραμματισμός (SQL) |
3/808 |
ΥΕ |
5 |
|
|
|
Each course listed under Categories C and D serves as an elective within the academic program, providing students with opportunities to specialize further in areas of statistics, data analysis, and research methods. Category C focuses on statistical application, quality control, and the design of socio-economic research, catering to students interested in applied statistics and research methodologies. Category D offers more specialized topics such as data analysis in the energy sector, survival analysis, data mining, and econometrics, allowing students to gain expertise in specific statistical techniques and their applications in various fields.
The degree grade is defined as the simple arithmetic mean of all the courses required for obtaining the degree.
Grading Scale:
8.50–10 «Excellent», 6.50–8.49 «Very Good», 5.00–6.49 «Good»
