Data Science and Management

Selection period: June/July 2022
Selection method: Web Self-Service
Before selecting courses, students must pay close attention to:

  • syllabus
  • possible prerequisites
  • semester

Once the selection period closes, it will no longer be possible to modify choices.
Courses will only be run if the minimum number of participants is reached. If the minimum is not reached, students will be contacted to make a second choice.
Students that do not select courses by the deadline will be assigned a class schedule that cannot be modified. 

Please note: Some courses indicated in the table below as “FEB” follow the new Fully Enquired Based learning model, which calls for an active and continuous participation in the lessons, as well as a continuous assessment method contributing to the final grade. These courses will have only one “appello”, which will take place at the end of the semester in which the course was offered and in the retake sessions.

Code

Course

Professor

Program FEB

EM36

Data-driven models for investment

SIMEONE ANTONIO /STOCCHI ELIO

program YES

M017

Digital marketing 

IBARRA MAXIMO

program  

M280

Digital and organizational innovation

FEDERICI TOMMASO

program  

SQ0

Management of innovation 

VALENTINI GIOVANNI

program YES

M524

Robotics, Mechatronics, Biotech & Other Key Enabling Technologies

BELINGHERI PAOLA/MILANA SILVIA

program YES

M526

Emerging Technologies: Ai, Machine Learning, Blockchain, Iot, 5g, Edge Computing

CHESSA ALESSANDRO/CARBONI DAVIDE

program YES

M530

Climate - Neutral & Smart Cities

IAIONE FERNANDO CHRISTIAN/ BALDWIN MATTHEW ROBERT

program YES

 M535

Machine Learning For Finance

MEGHA PATNAIK  

program

 

 

Courses that will not be activated:

Code

Course Professor Program FEB

EM35

Network Science for Social Media

CHESSA ALESSANDRO

program

YES