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Piano di Studi

Data science — Università degli Studi di Milano-Bicocca, Milano

Laurea magistrale, classe LM-Data. Accesso: libero. Lingua: Inglese.

Sito del corso

Il piano degli esami

Curricula: To be approved, Piano personalizzato. Qui sotto: To be approved.

1° anno

  • Machine learning and decision models — 12 CFU
  • Data management and visualization — 12 CFU
  • Data science lab — 6 CFU
  • Statistical modelling — 6 CFU
  • Juridical and social issues in information society — 6 CFU
  • 6 CFU Subjects to choose from- 1st year (scegli 6 CFU): Marketing analytics 6 CFU; Financial markets analytics 6 CFU; Foundations of probability and statistics 6 CFU
  • 6 CFU Subjects to choose from- 1st year (scegli 6 CFU): Data semantics 6 CFU; Foundations of deep learning 6 CFU; Green computing 6 CFU; Foundations of computer science 6 CFU
  • Free choice of the student (scegli 12 CFU): Marketing analytics 6 CFU; Foundations of deep learning 6 CFU; Financial markets analytics 6 CFU; Green computing 6 CFU; Data semantics 6 CFU; Foundations of computer science 6 CFU; Foundations of probability and statistics 6 CFU; Data science lab in biosciences 6 CFU; Service science 6 CFU; Business intelligence and big data analytics 6 CFU; Data science lab on smart cities 6 CFU; Reinforcement learning 6 CFU; Public health data science 6 CFU; Explainable ai for decision making 6 CFU; Natural language processing 6 CFU; Data science lab in medicine 6 CFU; Streaming data management and time series analysis 6 CFU; Data science lab in environment and physics 6 CFU; High dimensional data analysis 6 CFU; Digital signal and image management 6 CFU; Economics for data science 6 CFU; Cybersecurity for data science 6 CFU; Social media analytics 6 CFU; Technological infrastructures for data science 6 CFU; Data science lab in business and marketing 6 CFU; Chosen activities taken during the erasmus period 12 CFU; Chosen activities taken during the erasmus period 8 CFU; Chosen activities taken during the erasmus period 6 CFU; Chosen activities taken during the erasmus period 4 CFU

2° anno

  • Text mining and search — 6 CFU
  • Stage — 6 CFU
  • Final examination — 21 CFU
  • Further learning activities (scegli 3 CFU): Further linguistic knowledge - spanish - B2 level (or higher) 3 CFU; Further linguistic knowledge - german - B2 level (or higher) 3 CFU; Further linguistic knowledge - english - C1 level (or higher) 3 CFU; Further linguistic knowledge - french - B2 level (or higher) 3 CFU; Further linguistic knowledge - italian – A2 level (or higher) 3 CFU; Further skills for job placement 3 CFU
  • 6 CFU subjects to choose from - 2nd year (scegli 6 CFU): Technological infrastructures for data science 6 CFU; Service science 6 CFU; Cybersecurity for data science 6 CFU; Social media analytics 6 CFU; Natural language processing 6 CFU; Digital signal and image management 6 CFU; Reinforcement learning 6 CFU; Business intelligence and big data analytics 6 CFU; Explainable ai for decision making 6 CFU
  • 6 CFU subjects to choose from - 2nd year (scegli 6 CFU): Streaming data management and time series analysis 6 CFU; High dimensional data analysis 6 CFU; Economics for data science 6 CFU
  • 6 CFU subjects to choose from - 2nd year (scegli 6 CFU): Data science lab on smart cities 6 CFU; Data science lab in environment and physics 6 CFU; Data science lab in business and marketing 6 CFU; Data science lab in biosciences 6 CFU; Public health data science 6 CFU; Data science lab in medicine 6 CFU
  • Extra courses - according to (facoltativo): Streaming data management and time series analysis 6 CFU; Social media analytics 6 CFU; Economics for data science 6 CFU; Service science 6 CFU; Public health data science 6 CFU; Foundations of deep learning 6 CFU; Natural language processing 6 CFU; Business intelligence and big data analytics 6 CFU; Data science lab in medicine 6 CFU; Foundations of computer science 6 CFU; Technological infrastructures for data science 6 CFU; Cybersecurity for data science 6 CFU; Financial markets analytics 6 CFU; High dimensional data analysis 6 CFU; Data science lab in business and marketing 6 CFU; Reinforcement learning 6 CFU; Digital signal and image management 6 CFU; Marketing analytics 6 CFU; Data science lab in biosciences 6 CFU; Data semantics 6 CFU; Foundations of probability and statistics 6 CFU; Data science lab on smart cities 6 CFU; Green computing 6 CFU; Explainable ai for decision making 6 CFU; Data science lab in environment and physics 6 CFU

Lo stesso tipo di corso altrove 24 corsi della classe LM-Data, dal più vicino

Tutti i corsi della classe LM-Data, di Università degli Studi di Milano-Bicocca e a Milano.