COURSE GUIDE
The undergraduate program of studies of the Department of Statistics has a similar structure to the programs of other European Universities, especially those with which the Department of Statistics has bilateral cooperation agreements. The program is based on the European Credit Transfer System (ECTS ). Every course has been assigned a specific number of credits as shown in the analytical Program of Studies.
To determine each courses ECTS, overall requirements are taken into account (lectures, assignments, required preparation etc).
To obtain a bachelor's degree, students must earn a total of 240 ECTS credits.
All program courses are assigned with 8 ECTS credits and 4 teaching hours weekly.
There are 14 compulsory courses.
Courses are divided into 2 basic categories:
1. 14 Compulsory courses
2. Optional courses which are either
a. Offered by the Statistics Department
b. Offered by other Departments
Compulsory courses are offered during the 6 first semester (8 in the first year, 4 in the second year and 2 in the third).
During the last 2 semesters, no optional courses are offered.
During the first two semesters, students can enroll in courses whose corresponding ECTS’s do not exceed 32 per semester.
During the remaining semesters, students can enroll in courses whose corresponding ECTS’s do not exceed 40 per semester.
During the final two semesters, students can exceed the 40 ECTS’s per semester only for “Practical Projects”.
After the fourth year, students can enroll in courses whose corresponding ECTS’s do not exceed 48 per semester.
When choosing courses to enroll in each semester, compulsory courses from previous semesters that are not successfully completed by the student, and are offered in the specific semester, must precede all others.
Besides the 14 compulsory courses corresponding to 112 ECTS’s, to complete the remaining required ECTS’s, a student must obtain at least 72 ECTS’s coming from optional courses offered by the Department. The remaining 56 ECTS’s required for graduation can come either from the Statistics Department offered courses either from other University Departments.
A course table is announced each academic year, and is depending on the courses offered and lecturer’s availability. Some optional courses might not be offered if there is not an available lecturer.
When graduating, a student is able to obtain a certified statement of PC knowledge, equivalent to the ECDL.
Students have the opportunity to attend courses to a corresponding section in a University abroad, through the ERASMUS + program.
A’ Semester 
B’ Semester 
· Probability I (C) · Calculus I (C) · Linear Algebra I (C) · Introduction to Programming using R (C) 
· Probability II (C) · Calculus II (C) · Linear Algebra II (C) · Introduction to Probability and Statistics using R (C) 
C’ Semester 
D’ Semester 
· Estimation and Hypothesis Testing (C) · Stochastic Processes I (C) · Introduction to Mathematical Analysis · Statistical Demography · Introduction to Economics · Introduction to Accounting Information Systems 
· Linear Models (C) · Time Series Analysis (C) · Sampling · Mathematical Methods · Actuarial Science I · Numerical Methods in Statistics* 
E’ Semester 
F’ Semester 
· Generalized Linear Models (C) · Bayesian Statistics · Statistical Quality Control · Econometrics · Theoretical Statistics 
· Data Analysis (C) · Simulation · Multivariate Statistical Analysis · Non Parametric Statistics · Biostatistics I 
G’ Semester 
H’ Semester 
· Applied Linear Models · Probability Theory · Statistical Learning · Biostatistics II · Introduction to Operations Research · Stochastic Processes II · Actuarial Science II · Research Methodology* · Special Topics in Probability and Statistics · Bachelor Dissertation · Practical Training 
· Categorical Data Analysis · Advanced Sampling Methods · Statistical Methods for the Environment and Ecology · Official Statistics · Statistics (Erasmus Course)* · Advanced Bayesian Methods * · Special Topics in Probability and Statistics · Bachelor Thesis · Practical Training 
Note: Regarding students enrolled 20082009 and before, the previous course guide is applied, according to which they must complete 240 ECTS's, from 11 compulsory courses and 72 ECTS's from optional courses with statistical context.
Transitional provisions for previous years students are here (in Greek).
FIRST SEMESTER 
PROBABILITY I (C) 
CALCULUS I (C) 
LINEAR
ALGEBRA I (C) 
INTRODUCTION
TO PROGRAMMING USING R (C) 
SECOND SEMESTER 
PROBABILITY II (C) 
CALCULUS II
(C) 
LINEAR ALGEBRA II (C) 
INTRODUCTION TO
PROBABILITY AND STATISTICS USING R (C) 
THIRD SEMESTER 
ESTIMATION AND
HYPOTHESIS TESTING (C) 
STOCHASTIC PROCESSES I (C) 
INTRODUCTION TO
MATHEMATICAL ANALYSIS 
STATISTICAL DEMOGRAPHY 

INTRODUCTION TO ACCOUNTING INFORMATION SYSTEMS 
FOURTH SEMESTER 
LINEAR MODELS (C) 
TIME SERIES ANALYSIS
(C) 


ACTUARIAL SCIENCE I 
NUMERICAL METHODS IN STATISTICS (NOT OFFERED IN THE ACADEMIC YEAR 2015  16) 
FIFTH SEMESTER 
GENERALIZED LINEAR
MODELS (C) 




SIXTH SEMESTER 
DATA ANALYSIS (C) 




SEVENTH SEMESTER 
APPLIED LINEAR MODELS 




STOCHASTIC PROCESSES
II 

RESEARCH
METHODOLOGY (NOT
OFFERED IN THE ACADEMIC YEAR 2015  16) 
SPECIAL TOPICS IN PROBABILITY AND STATISTICS 
BACHELOR DISSERTATION 

EIGHTH SEMESTER 
CATEGORICAL DATA ANALYSIS 



STATISTICS
(ERASMUS COURSE 
NOT OFFERED IN THE
ACADEMIC YEAR 2015  16) 
ADVANCED BAYESIAN METHODS (NOT
OFFERED IN THE ACADEMIC YEAR 2015  16) 
SPECIAL TOPICS IN PROBABILITY AND STATISTICS 


COURSES OFFERED BY OTHER DEPARTMENTS AVAILABLE IN THE ACADEMIC YEAR 2015  2016
WINTER SEMESTER
2015  2016
OPTIONAL COURSES OFFERED FROM OTHER DEPARTMENTS 
ΕΜ 
GENERAL ECONOMIC HISTORY 
6 
PRINCIPALS OF SOCIOLOGY 
6 
MACROECONOMIC THEORY I 
6 
MICROECONOMIC THEORY I 
6 
PUBLIC FINANCE I 
6 
COST ACCOUNTING 
6 
TEACHER TRAINING INTERNSHIP I 
6 
INTRODUCTION TO METHODOLOGY OF TEACHING  ANALYTICAL PROGRAMMS 
6 
ORGANIZATION AND MANAGEMENT OF EDUCATION AND EDUCATIONAL INSTITUTIONS 
6 
INTRODUCTION TO PEDAGOGY 
6

EDUCATIONAL EVALUATION 
6


6 
COMPUTATIONAL MATHEMATICS 
6 
COMPUTER PROGRAMMING WITH C++ 
6 
ARTIFICIAL INTELLIGENCE 
6 
SOFTWARE ANALYSIS AND DESIGN 
6 
COMMUNICATION NETWORKS 
6 
SPECIAL TOPICS IN DISCRETE MATHEMATICS 
6 
ADVANCED PROBABILITIES AND SIMULATION 
6 
INFORMATION RETRIEVAL SYSTEMS 
6 
DATA MINING FROM LARGE DATABASES AND THE WWW 
6 
FINANCIAL LAW 
6 
PORTFOLIO MANAGEMENT 
6 
INTRODUCTION TO BUSINESS ADMINISTRATION 
6 
MEDIA AND MEDIA NETWORKING 
6 
INTRODUCTION TO ELECTRONIC LOGISTICS AND FINANCE 
6 
INTRODUCTION TO MARKETING 
6 
DATABASES 
6 

6 

6 
COMBINATIONAL OPTIMIZATION 
6 
ENTREPRENEURSHIP 
6 
SPRING SEMESTER 2015  2016
OPTIONAL COURSES OFFERED FROM OTHER DEPARTMENTS 
ΕΜ 
MICROECONOMIC THEORY II 
6 
MACROECONOMIC THEORY II 
6 
ADVANCED FINANCIAL ACCOUNTING 
6 
FINANCIAL MANAGEMENT I 
6 
OPERATIONAL POLICY AND STRATEGY 
6 
INVESTMENT MANAGEMENT 
6 
TEACHER TRAINING INTERNSHIP II 
6 
GENERAL AND EVOLUTIONARY PSYCHOLOGY 
6 
QUALITY IN EDUCATION AND TEACHING 
6 
INTRODUCTION TO COMPUTERS  EDUCATIONAL APPLICATIONS 
6 
SPECIAL EDUCATION METHODOLOGY 
COURSES IN SPECIALTY TEACHING 
6 
ALGORITHMS 
6 

3 
ADVANCED ARITHMETICAL ANALYSIS 
6 
DATABASE DESIGN 
6 
COMPUTER NETWORKS 
6 
GAME THEORY 
6 
MACHINE LEARNING 
6 
INFORMATION THEORY 
6 
INTRODUCTION TO POLITICAL SCIENCE AND INTERNATIONAL RELATIONS 
6 

6 

6 
STRATEGIC MARKETING 
6 

6 
ADVERTISING 
6 

6 

6 
SUPPLY CHAIN MANAGEMENT 
6 
PRODUCTION AND OPERATIONS MANAGEMENT 
6 
TOPICS IN OPERATIONAL RESEARCH AND DECISION SYSTEMS 
6 