Program Courses

Semester: 1st
Probability Ι (7,5 ECTS)
Calculus Ι (7,5 ECTS)
Linear Algebra Ι (7,5 ECTS)
Introduction to Programming with R (7,5 ECTS)
Semester: 2nd
Probability ΙΙ (7,5 ECTS)
Calculus II (7,5 ECTS)
Linear Algebra ΙΙ (7,5 ECTS)
Introduction to Probabilities and Statistics using R (7,5 ECTS)
Semester: 3rd
Estimation and Hypothesis Testing (8 ECTS)
Stochastic Processes I (8 ECTS)
Demographic Statistics (7 ECTS)
Introduction to Economic Theory (7 ECTS)
Introduction to Mathematical Analysis (7 ECTS)
Introduction to Computerized Accounting and Finance (7 ECTS)
Semester: 4th
Linear Models (8 ECTS)
Sampling (7 ECTS)
Mathematical Methods (7 ECTS)
Actuarial I (7 ECTS)
Time Series Analysis (8 ECTS)
Estimation and Hypothesis Testing (repetitive) (8 ECTS)
Semester: 5th
Statistical Quality Control (7 ECTS)
Bayesian Statistics (7 ECTS)
Theoretical Statistics (8 ECTS)
Introduction to Operations Research (7 ECTS)
Applied Linear Models (8 ECTS)
Generalized Linear Models (8 ECTS)
Linear Models (repetitive) (8 ECTS)
Semester: 6th
Data Analysis (8 ECTS)
Official Statistics (7 ECTS)
Multivariate Statistical Analysis (8 ECTS)
Simulation (7 ECTS)
Probability Theory (8 ECTS)
Biostatistics I (7 ECTS)
Semester: 7th
Econometrics (8 ECTS)
Practical Training (6 - 14 ECTS)
Bachelor Thesis (8 ECTS)
Introduction to Measurement Theory with regard to Probability and Statistics (8 ECTS)
Actuarial ΙΙ (7 ECTS)
Stochastic Procedures ΙΙ (8 ECTS)
Biostatistics ΙΙ (7 ECTS)
Statistical Learning (8 ECTS)
Research Methodology (7 ECTS)
Semester: 8th
Non Parametric Statistics (8 ECTS)
Practical Training (6 - 14 ECTS)
Bachelor Thesis (8 ECTS)
Methods of Bayesian Inference (7 ECTS)
Statistical Methods for the Environment and Ecology (8 ECTS)
Numerical Methods in Statistics (7 ECTS)
Advanced Sampling Methods (7 ECTS)
Categorical Data Analysis (8 ECTS)