Master of Science in Data Science and Economics (DSE) - Notes

Università degli Studi di Milano

Notes, projects and slides of the Master of Science in Data Science and Economics (DSE)

Course info

Contributors

Andrea Ierardi

Years 2019 - 2021

1° year - 2019/2020

• 1° semester - 18 CFU/ECTS

  • Graph Theory, Discrete Mathematics and Optimization (total 12 CFU/ECTS):
    • Discrete Mathematics- Module (3 CFU/ECTS)
    • Graph Theory- Module (3 CFU/ECTS)
    • Optimization - Module (6 CFU/ECTS)
  • Micro-econometrics, casual inference and time series econometric:
    • Time series - Module (6 CFU/ECTS)

• 2° semester - 18 CFU/ECTS

  • Advanced Microeconomics and Macroeconomics (total 12 CFU/ECTS):
    • Advanced microeconomics - Module (6 CFU/ECTS)
  • Micro-econometrics, casual inference and time series econometric:
    • Micro-econometrics, Causal Inference - Module (6 CFU/ECTS)
  • Coding for Data Science and Data Management (total 12 CFU/ECTS)
    • Coding for Data Science - R language - Module (3 CFU/ECTS)
    • Coding for Data Science - Python language - Module (3 CFU/ECTS)
      

• 3° semester - 24 CFU/ECTS

  • Advanced Microeconomics and Macroeconomics (total 12 CFU/ECTS):
    • Advanced Macroeconomics - Module (6 CFU/ECTS)
  • Machine Learning, Statistical Learning, Deep Learning and Artificial Intelligence (total 12 CFU/ECTS):
    • Machine Learning - Module (6 CFU/ECTS)
    • Statistical Learning, Deep Learning and Artificial Intelligence - Module (6 CFU/ETCS)
  • Coding for Data Science and Data Management
    • Data Management - Module (6 CFU/ETCS)

2° Year - 2020/2021

• 1° semester

• 2° semester