M.Sc. in Statistics

This program trains senior statistician/data scientists and highly skilled team managers in the fields of statistics and data science.

M 1 - Statistics (60 CECT credits)

1. ECO 401- Microeconomics (6 credits, 150h)
2. ECO 402- Macroeconomics (6 credits, 150h)
3. MQT 401- Quantitative Methods (6 credits, 150h)
4. ECO 403- Applied Econometrics (6 credits, 150h)
5. MAT 401- Operational Research (6 credits, 150h)
6. ACT 401- Risk and Insurance Theory (2 credits, 100h)
7. INF 401- Computer Programming (6 credits, 150h)
8. FIN 401- Advanced Financial Mathematics (4 credits, 100h)
9. STT 501- Mathematical Statistics (6 credits, 150h)
10. STT 502- Measure and Integration (6 credits, 150h)
11. AUT 401- Business English (2 credits, 50h)
12. AUT 402- Preparation for Professional Certifications (2 credits, 50h)

M 2 - Statistics (60 CECT credits)

1. ECO 503- Econometrics of Panel Data (6 credits, 150h)
2. STT 503- Big Data Analysis and Processing (6 credits, 150h)
3. STT 504- Survey Design and Sampling Techniques (6 credits, 150h)
4. STT 505- Non-Parametric Statistics (6 credits, 150h)
5. STT 506- Bayesian Statistics (4 credits, 100h)
6. AUT 501- Report Writing Techniques (2 credits, 50h)
7. STT 510- Research Project & Internship in Statistics (30 credits, 750h)

Admission Requirements

• Hold a Bachelor’s degree in a quantitative field or the equivalent
• Have a GPA of at least 12/20 at the bachelor level