Using data to succeed: tools for machine learning
Insights into key terms and processes involved when working with data science teams are revealed using an accessible narrative in this excerpt from Winning with Data Science
A new executive MBA (EMBA) focused on business and technology has been launched by Cuoa Business School, in partnership with Politecnico di Torino.
Teaching for the two-year programme is being delivered across two weekends a month and will encompass more than 500 hours of classroom time. Much of the course takes place at Politecnico di Torino’s Master’s and Continuing Education School, with certain activities held at Cuoa’s campus in Altavilla Vicentina.
“The collaboration between Cuoa and Politecnico di Torino is a virtuous example of collaboration between university and business school, but it also involves businesses,” explained Cuoa Business School president Federico Visentin. “An advisory board of around 20 representatives contributed to validating the contents of the project and will discuss any additions to be made.”
Course content currently covers data analytics, artificial intelligence, innovation and the space economy in addition to more conventional business master’s subjects, such as finance and project management.
“This project is truly ambitious because it combines the technological dimension, the core business of our university, with the managerial one,” said Politecnico di Torino rector Guido Saracco. “Technologies today not only rapidly change the world of work and people’s lives, but they can and must also be a reference for the choices that the managers of the future will be called on to make.”
The new EMBA is a product of an alliance initiative launched by Cuoa in 2019. The Cuoa University Network Business School currently fosters collaboration between Cuoa and 17 different institutions spread across Italy.
This article is adapted from one that originally appeared in Business Impact magazine (Issue 4 2023, volume 18)
Insights into key terms and processes involved when working with data science teams are revealed using an accessible narrative in this excerpt from Winning with Data Science
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