Subjects and timetable

Core subjects:

  • Numerical Linear Algebra
  • Optimization
  • Bayesian Statistics and Probabilistic Programming
  • Machine Learning
  • Agile Data Science
  • Presentation and Data Visualization
  • Ethical Data Science

Optional subjects:

  • Big Data
  • Deep Learning
  • Recommenders
  • Probabilistic Graphical Models
  • Business Analytics
  • Natural Language Processing
  • Computer Vision
  • Complex Networks
  • Data Science for Health
  • Time Series


Information for each subject

Exams calendar


Help for the preparation of time and the academic diary

Note: when you browse the subjects directory, if you want to go back you have to click the button “Tornar”, located at the top-right corner.