Program Courses

    Semester: 1st
    Probability Ι
    Calculus Ι
    Linear Algebra Ι
    Introduction to Programming with R
    Semester: 2nd
    Probability ΙΙ
    Calculus II
    Linear Algebra ΙΙ
    Introduction to Probabilities and Statistics using R
    Semester: 3rd
    Estimation and Hypothesis Testing
    Stochastic Processes I
    Linear Models
    Demographic Statistics
    Introduction to Economic Theory
    Introduction to Mathematical Analysis
    Introduction to Computerized Accounting and Finance
    Linear Models (repetitive)
    Semester: 4th
    Linear Models
    Sampling
    Mathematical Methods
    Actuarial I
    Time Series Analysis
    Analysis of Variance and Experimental Design
    Estimation and Hypothesis Testing (repetitive)
    Semester: 5th
    Generalized Linear Models
    Econometrics
    Statistical Quality Control
    Bayesian Statistics
    Theoretical Statistics
    Analysis of Variance and Experimental Design
    Semester: 6th
    Data Analysis
    Non Parametric Statistics
    Multivariate Statistical Analysis
    Simulation
    Biostatistics I
    Semester: 7th
    Introduction to Measurement Theory with regard to Probability and Statistics
    Practical Training
    Bachelor Thesis
    Αναλογιστικά ΙΙ
    Stochastic Procedures ΙΙ
    Εισαγωγή στην Επιχειρησιακή Έρευνα
    Biostatistics ΙΙ
    Statistical Learning
    Probability Theory
    Applied Linear Models*
    Research Methodology*
    Semester: 8th
    Official Statistics
    Statistical Methods for the Environment and Ecology
    Numerical Methods in Statistics
    Statistics – Erasmus Course*
    Practical Training
    Bachelor Thesis
    Methods of Bayesian Inference
    Statistics – Erasmus Course*
    Advanced Sampling Methods
    Categorical Data Analysis
    STSP: Decision Theory