Studies Program
BASIC REGULATIONS:
 The program is in accordance with the philosophy of the curricula of European Universities with which the Department cooperates, since it is based on the European Credit Transfer System (ECTS). The basis of this system is the Credit Unit (ECTS). Each course corresponds to a number of ECTS s referred in the program.
 To determine each course’s ECTS, the total demands of the course are taken into consideration (lectures, assignments, required preparation, etc)
 To obtain the degree of the Department, the student must acquire a total of 240 ECTS’s. All of the program’s courses account for 8 ECTS and the lectures are 4 hours per week. (the lesson Introduction to Computerized Accounting and Finance is excluded, as it accounts for 6 ECTS and is offered from the department of Accounting and Finance).
 The program offers 14 compulsory courses.
COURSES CATEGORIES
 The program’s courses are divided into 2 basic categories:
 14 compulsory courses which must be attended by all of the Department’s students
 Optional courses which are of two categories:
 Courses offered by the Statistics Department
 Courses offered by other Departments
 Compulsory courses are offered during the first 6 semesters (8 in the first year, 4 in the second year and 2 in the third year), so the student establishes the necessary background in order to make his following choices.
 In the last two semesters, no compulsory courses are offered. This way the student has the flexibility to form a studies program, which will cover the basic Statistics knowledge (as provided by the compulsory Statistics courses), while at the same time is given the chance to develop a program that meets his individual interests.
 During the first two semesters the student may enroll in lessons with a maximum of 32 ECTS.
 In the remaining semesters (3^{rd} to 8^{th}) the student may enroll in lessons with a maximum of 40 ECTS per semester. For the last two semesters there can be an excess only for the “Practical Training”.
 After the 4^{th} year the student may enrol in lessons with a maximum of 48 ECTS per semester.
 When the student chooses courses to attend each semester, the obligatory courses of previous semesters which the student has not passed and are offered in the specific semester must precede all other courses.
 There is the concept of prerequisite courses. Especially, “Estimation – Hypothesis Testing” of the 3^{rd} semester is a prerequisite for “Linear Models” of the 4^{th} Semester. “Linear Models” is a prerequisite for “Generalized Linear Models” of the 5^{th} Semester as well as “Data Analysis” in the 6^{th} Semester.
 Apart of the 14 compulsory courses that amount to 112 ECTS, the student must collect at least 72 ECTS from optional courses offered by the Statistics Department. The remaining 56 ECTS necessary for the degree can come either from optional courses offered by the Statistics Department, or by courses offered by other Departments in the University.
 The table of the offered courses is announced each year and is depended on the availability of the corresponding teaching personnel. Some optional courses may not be offered if there is no available professor.
 By getting the degree, the student can obtain a computer certificate equivalent to ECDL in the public sector, if during his studies he successfully attended four of the following courses:

INFORMATICS KNOWLEDGE NECESSARY COURSES
Course Title
Department
INTRODUCTION TO PROGRAMMING WITH R
STAT
INTRODUCTION TO PROBABILITY AND STATISTICS WITH R
STAT
DATA ANALYSIS
STAT
SIMULATION
STAT
DATABASES
DET
COMMUNICATION NETWORKS
INF
COMPUTER NETWORKS
INF
DATABASE DESIGN
INF
 Lastly, the students are given the chance to attend one semester in a similar department in a University abroad through the ERASMUS+ program. The courses that are successfully completed by the student are matched to courses of the Department and are included in the student’s analytical total grade.
NEW PROGRAM STRUCTURE
Α’ Semester 
Β’ Semester 


C’ Semester 
D’ Semester 


Ε’ Semester 
F’ Semester 


G’ Semester 
Η’ Semester 


NOTE: Courses not offered on the academic year 20182019 are noted with *.
Transitional provisions for older students are here.
The full studies guide for the 201819 academic year can be found here.