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 Programming with Python
• Introduction to Operational Research
• Introduction to Accounting Information Systems
• ERASMUS BIP: Mixed Mobility for Studies

• Linear Models (Υ)
• Time Series Analysis (Υ)
• Demographic Statistics
• Sampling
• Mathematical Methods
• Actuarial Science Ι

5th Semester

6th Semester

• Data Analysis (C)
• Design and Analysis of Experiments
• Statistical Quality Control
• Theoretical Statistics
• Bayesian Statistics
• Advanced Sampling Methods
• Multivariate Statistical Analysis

• Generalized Linear Models (C)
• Computational Statistics and Simulation
• STPS: Quantitative Risk Management and Analytics
• Probability Theory
• Official Statistics
• Biostatistics I
• Numerical Methods and Optimization in Statistics and Machine Learning
• STPS: Visualization and Data Story Telling
• Introduction to Database Management

7th Semester

8th Semester

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

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