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Masters in Economics and Data Science academic curriculum
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| Module 1 | |||
| Microeconomics - 1 (A.Bremzen) | NES | ||
| Probability Theory (P.Katyshev) | NES | ||
| Algorithms and Data Structures - 1 | SDA | ||
| Learning Python | SDA | ||
| English (English department) | NES | ||
| Module 2 | |||
| Microeconomics - 2 (M.Drugov) | NES | ||
| Mathematical Statistics (A.Peresetsky) | NES | ||
| Algorithms and Data Structures - 1 | SDA | ||
| Learning Python | SDA | ||
| English (English department) | NES | ||
| Module 3 | |||
| Game Theory (E.Athanasiou) | NES | ||
| Econometrics - 1 (K.Styrin) | NES | ||
| Machine Learning - 1 | SDA | ||
| Applications of Mathematical Statistics in Machine Learning | SDA | ||
| English (English department) | NES | ||
| Module 4 | |||
| Microeconomics - 4 (M.Troya-Martinez) | NES | ||
| Econometrics - 2 (G.Kosenok) | NES | ||
| Machine Learning - 1 | SDA | ||
| Applications of Mathematical Statistics in Machine Learning | SDA | ||
| English (English department) | NES | ||
| Module 5 | |||
| Machine Learning - 1 | SDA | ||
| Applications of Mathematical Statistics in Machine Learning | SDA | ||
| 2 elective courses | |||
| Module 6 | |||
| Macroeconomics - 1 (V.Charnavoki) | NES | ||
| Machine Learning - 2 | SDA | ||
| 2 elective courses | |||
| Module 7 | |||
| Macroeconomics - 2 (H.Zoabi) | NES | ||
| Machine Learning - 2 | SDA | ||
| 2 elective courses | |||
| Module 8 | |||
| 4 elective courses | |||
| Module 9 | |||
| 4 elective courses | |||
| Module 10 | |||
| 4 elective courses | |||
| Project | |||
Course