Module Courses

    MODULE COURSES

    From the academic year 2021-22 the Statistics Department, in collaboration with the Informatics Department, introduces courses modules which consist of specific courses from both departments that are related to specific subjects. The modules subjects are:

    • Data Science Module
    • Operational Research Module
    • Applied Mathematics Module

    Each module’s courses offer the students flexibility to obtain additional knowledge in their subject.

    Module Completion: In order for a student to complete a module, he/ she has to succeed in at least 5 module courses (these courses must not have been taken in any other modules), at least 2 of those has to be either from the Informatics Department either from the Management of Science and Technology Department.

    Non – Compulsoriness: The modules are not compulsory, and the students are free to take courses of all modules. If a student does complete a module this is noted in the Diploma’s annex.

    The courses titles and the way they are distributed in modules is displayed in the table below:

    Cod.

    Course

    Data Science

    Operational Research

    Applied Mathematics

    Semester

    ECTS

    6023

    Linear Models (STAT)

    *

    4th

    8

    6005

    Data Analysis (STAT)

    *

    6th

    8

    6136

    Multivariate Statistical Analysis (STAT)

    *

    6th

    8

    3531

    Artificial Intelligence (INF)

    *

    5th

    8

    3745

    Machine Learning (INF)

    *

    7th

    6

    3743

    Data Mining and Data Science  (INF) (old title: Applied Data Science, Data Mining from Large Databases and the Web)

    *

    8th

    6

    6245

    3436

    8117

    Introduction to Database Management (STAT) or for those already passed Databases (INF)

    		 * 6th 6

    6127

    Methods of Statistical and Machine Learning (STAT)

    *

    7th

    8

    3644

    Information Retrieval Systems (INF)

    *

    8th

    6

    6126

    Stochastic Processes Ι (STAT)

    *

    *

    3rd  

    8

    6153

    Introduction to Operations Research (STAT)* (not offered during the academic year 2025-26)

    *

    *

    6th

    7

    6057

    Stochastic Processes ΙΙ (STAT)

    *

    *

    7th

    8

    6123

    Statistical Quality Control (STAT)

    *

    4th

    7

    6145

    Time Series Analysis (STAT)

    *

    4th

    8

    6125

    Simulation (STAT)

    *

    6th

    7

    3432

    Algorithms (INF)

    *

    4th

    7

    3713

    Decision and Game Theory (INF)

    *

    8th

    6

    3632

    Special Topics in Algorithms (INF)

    *

    7th

    6

    8116

    Mathematical Optimization (DET) (old title: Mathematical Programming)

    *

    4th

    6

    8143

    Combinatorial Optimization (DET)

    *

    *

    7th

    6

    6124

    Probabilities IΙ (STAT)

    *

    2nd

    7,5

    6082

    Linear Algebra ΙΙ (STAT)

    *

    2nd

    7,5

    6133

    Introduction to Mathematical Analysis (STAT)

    *

    3rd

    7

    6143

    Mathematical Methods (STAT)

    *

    4th

    7

    6116

    Probability Theory (STAT)

    *

    6th

    8

    6115

    Numerical Methods in Statistics (STAT)

    *

    6th

    7

    6256

    Special Topics in Statistics and Probability: Introduction to Measurement Theory with regard to Probability and Statistics (STAT)

    *

    8th

    7

    3117

    Discrete Mathematics (INF)

    *

    1st

    6

    3513

    Numerical Linear Algebra (old title: Applied Numerical Analysis) (INF)

    *

    8th

    6

    3612

    Special Topics in Discrete Mathematics (INF)

    *

    8th

    6

    3814

    Information Theory (INF)

    *

    8th

    6

    The teaching semester and the ECTS’s for courses provided either by the Statistics Department or other Departments could be modified.

    COMMON MODULES INFORMATICS – STATISTICS - PREREQUISITES

    DATA SCIENCE MODULE

    TITLE

    PREREQUISITES

    Artificial Intelligence (INF)

    Calculus II (STAT) or Algorithms (INF)

    Machine Learning (INF)

    Calculus II (STAT) or Artificial Intelligence (INF)

    Data Mining and Data Science (INF) (old title: Applied Data Science, Data Mining from Large Databases and the Web)

    Databases (INF) or Artificial Intelligence (INF)

    Introduction to Database Management (STAT) or for those already passed Databases (INF)

    		 Introduction to Programming using R (STAT) or Computer Programming using JAVA (INF)

    Methods of Statistical and Machine Learning (STAT)

    --------

    Multivariate Statistical Analysis (STAT)

    --------

    Information Retrieval Systems (INF)

    Introduction to Programming using R (STAT) or Computer Programming in Java (INF)

    Linear Models (STAT)

    Estimation – Hypothesis Testing (STAT)

    Data Analysis (STAT)

    Linear Models (STAT)

    OPERATIONAL RESEARCH MODULE

    TITLE

    PREREQUISITES

    Algorithms (INF)

    Introduction to Programming using R (STAT)

    Introduction to Operations Research (STAT)* (not offered during the academic year 2025-26)

    -----

    Decision and Game Theory (INF)

    Calculus Ι (STAT), and

    Probabilities Ι (STAT) or Probabilities ΙΙ (STAT)

    Stochastic Procedures ΙΙ (STAT)

    -----

    Simulation (STAT)

    -----

    Topics in Algorithms (INF)

    Databases (INF)

    Or Algorithms (INF)

    Mathematical Optimization  (old title: Mathematical Programming) (DET )

    -----

    Statistical Quality Control (STAT)

    -----

    Combinatorial Optimization (DET)

    -----

    Time Series Analysis (STAT)

    -----

    APPLIED MATHEMATICS MODULE

    TITLE

    PREREQUISITES

    Discrete Mathematics (INF)

    -----

    Numerical Methods in Statistics (STAT)

    -----

    Introduction to Operations Research (STAT)* (not offered during the academic year 2025-26)

    -----

    Introduction to Mathematical Analysis (STAT)

    ------

    Mathematical Methods (STAT)

    -----

    Stochastic Procedures ΙΙ (STAT)

    -----

    Special Topics in Statistics and Probability: Introduction to Measurement Theory with regard to Probability and Statistics (STAT)

    -----

    Probability Theory (STAT)

    -----

    Topics in Discrete Mathematics (INF)

    Discrete Mathematics (INF)

    Information Theory (INF)

    Probabilities Ι (STAT) or Probabilities ΙΙ (STAT)

    Combinatorial Optimization (DET)

    -----

    Applied Numerical Algebra (old title: Applied Numerical Analysis) (INF)

    Calculus ΙΙ (STAT)

    and Computational Mathematics (INF) or Numerical Methods in Statistics

    * not offered during the academic year 2025-26