Courses Outline

1st Semester

2nd Semester

• Probability Ι (C)
• Calculus Ι (C)
• Linear Algebra Ι (C) 
• Introduction to programming using R (C)

• Probability ΙΙ (C)
• Calculus ΙΙ (C)
• Linear Algebra ΙΙ (C)
• Introduction to Probability and Statistics using R (C)

3rd Semester

4th Semester

• Estimation and Hypothesis Testing (C)
• Stochastic Processes Ι (C)
• Introduction to Mathematical Analysis
• Introduction to Economics
• Introduction to Accounting Information Systems
• Introduction to Programming with Python
• ERASMUS BIP: Mixed Mobility for Studies

• Linear Models (Υ)
• Time Series Analysis (Υ)
• Demographic Statistics
• Sampling
• Mathematical Methods
• Actuarial Science Ι
• Estimation and Hypothesis Testing (recursive) (C)

5th Semester

6th Semester

• Linear Models (recursive) (C)
• Generalized Linear Models (C)
• Bayesian Statistics
• Statistical Quality Control
• Theoretical Statistics
• Introduction to Operational Research (not offered during the 2025-26 academic year)
• Design and Analysis of Experiments

• Data Analysis (C)
• Simulation
• Multivariate Statistical Analysis
• Probability Theory
• Biostatistics I
• Official Statistics
• Numerical Methods in Statistics
• Introduction to Database Management

7th Semester

8th Semester

• Econometrics
• Stochastic Processes ΙΙ
• Methods of Statistical and Machine Learning
• Biostatistics ΙΙ
• Actuarial Science ΙΙ
• Methods of Bayesian Inference
• STSP: Methodological Tools of Machine Learning
• Bachelor Thesis
• Practical Training

• Categorical Data Analysis
• Non Parametric Statistics
• Advanced Sampling Methods
• Statistical Methods for the Environment and Ecology
• STSP: Introduction to Measurement Theory with reference to Probability and Statistics
• STSP: Decision Theory
• STSP: Sports Data Analytics
• Research Methodology
• Bachelor Thesis
• Practical Training