The pathway in Data Science for Operational Excellence in the Master’s degree allows students to experience how the three areas of the technological pillar of the Industry 4.0 “Data Analytics” paradigm (Descriptive Data Analytics, Data Mining and Prescriptive Data Analytics) can be employed to manage a factory in the most efficient and effective way possible.

Contact

Professor Tommaso Rossi

Goals

Train industrial engineers who can analyse data from the factory, turn it into information and then make informed decisions based on that information.

Teaching

The pathway in Data Science for Operational Excellence, delivered in collaboration with SAS, takes place partly within i-FAB (a simulated factory designed according to Lean logic and applying the pillars of the Industry 4.0 paradigm), partly at companies that are already adopting data science to manage their factory and partly within the University’s computer labs. Here, students will acquire descriptive and prescriptive data analytics and data mining skills, working on R (the most widely used programming language for data science), Microsoft Power BI and ARENA simulation software (which gives our students the opportunity to participate in the worldwide ARENA Simulation Competition every year).

The course consists of three modules:

• Data Mining for Operational Excellence
• Descriptive Analytics for Operational Excellence
• Prescriptive Analytics for Operational Excellence

Access

Classes for the Master’s Degree program are supposed to be taken in-person. However, students are allowed to live stream the lectures (therefore without active participation) on MS Teams.

Professional Profiles

Graduates will be able to take on roles within the Continuous Improvement and Digital Transformation teams of Operations and, later, those of chief digital officer and plant manager. In addition, they may carry out consultancy activities in the area of operations.

Career evaluation

In order to enrol in the master’s degree in Industrial engineering, an evaluation of your academic career path is required.