Program Courses

    Semester: 1st
    Probability Ι (7,5 ECTS)
    Calculus Ι (7,5 ECTS)
    Linear Algebra Ι (7,5 ECTS)
    Introduction to Programming using R (7,5 ECTS)
    Semester: 2nd
    Calculus II (7,5 ECTS)
    Linear Algebra ΙΙ (7,5 ECTS)
    Introduction to Probabilities and Statistics using R (7,5 ECTS)
    Probability ΙΙ (7,5 ECTS)
    Semester: 3rd
    Estimation and Hypothesis Testing (8 ECTS)
    Stochastic Processes I (8 ECTS)
    Introduction to Mathematical Analysis (7 ECTS)
    Introduction to Accounting Information Systems (7 ECTS)
    Introduction to Operations Research (7 ECTS)
    ERASMUS BIP: Mixed Mobility for Studies (3 - 6 ECTS)
    Introduction to Programming with Python (7 ECTS)
    Semester: 4th
    Sampling (7 ECTS)
    Estimation and Hypotheses Testing (Recursive) (8 ECTS)
    Actuarial I (7 ECTS)
    Demographic Statistics (7 ECTS)
    Mathematical Methods (7 ECTS)
    Linear Models (8 ECTS)
    Time Series Analysis (8 ECTS)
    Semester: 5th
    Data Analysis (8 ECTS)
    Statistical Quality Control (7 ECTS)
    Multivariate Statistical Analysis (7 ECTS)
    Theoretical Statistics (7 ECTS)
    Design and Analysis of Experiments (8 ECTS)
    Bayesian Statistics (7 ECTS)
    Advanced Sampling Methods (7 ECTS)
    Linear Models - recursive (8 ECTS)
    Semester: 6th
    Computational Statistics and Simulation (7 ECTS)
    Official Statistics (7 ECTS)
    Probability Theory (7 ECTS)
    Biostatistics I (7 ECTS)
    Introduction to Database Management (6 ECTS)
    Special Topics in Statistics and Probability (STSP): Quantitative Risk Management and Risk Analytics (7 ECTS)
    Special Topics in Statistics and Probability: Visualization and Data Story Telling (7 ECTS))
    Generalized Linear Models (8 ECTS)
    Semester: 7th
    Econometrics (7 ECTS)
    Practical Training (6 - 14 ECTS)
    Bachelor Thesis (8 ECTS)
    Methods of Bayesian Inference (7 ECTS)
    Actuarial ΙΙ (7 ECTS)
    Stochastic Processes ΙΙ (7 ECTS)
    Biostatistics ΙΙ (7 ECTS)
    Methods of Statistical and Machine Learning (7 ECTS)
    Methodological Tools of Machine Learning (7 ECTS)
    Semester: 8th
    Non Parametric Statistics (7 ECTS)
    Practical Training (6 - 14 ECTS)
    Bachelor Thesis (8 ECTS)
    Statistical Methods for the Environment and Ecology (7 ECTS)
    Numerical Methods and Optimization in Statistics and Machine Learning (7 ECTS)
    Measurement Theory with regard to Probability and Statistics (7 ECTS)
    Statistical Decision Theory and Game Theory (7 ECTS)
    Sports Data Analytics (7 ECTS)
    Research Methodology (7 ECTS)
    Categorical Data Analysis (7 ECTS)
    STSP: Statistical Modeling of Complex Data (7 ECTS)