Program Structure
This program offers a unique blend of modern statistics and mathematics, the latest advancements in computer science, all combined with Bocconi’s strong expertise in business. Students personalize their curriculum through their chosen track and by selecting electives, which may include PhD-level courses.
First Year (at Bocconi, Milan)
Main topics:
- Computer Science
- Statistics
- Machine Learning
- Business Analytics
- Marketing and Innovation
Data Science track
- Optimization
- Computer Science Algorithms
Business Analytics track
- Natural Language Processing
- Simulation and Modeling
Students will gain advanced and solid skills in the areas of Computer Science, Statistics, and Business Analytics, and will be introduced to tools and methodologies for collecting, processing, visualizing and analyzing large amounts of data (Big Data).
At the end of the first semester students will choose one of the two tracks: Data Science and Business Analytics. The Data Science track focuses on statistical and computational methods with strong emphasis on algorithms, mathematical optimization, modern stochastic modeling and machine learning. The Business Analytics track focuses on Natural Language Processing, mathematical modeling and simulations, Finance, and Social Network Analysis.Second Year (at Bocconi, Milan and/or abroad)
2 electives
Students will also attend seminars for the development of behavioral abilities (e.g. teamwork; assertiveness and managing interpersonal relationships; public speaking; managing relationships in multicultural situations).
Data Science track
- Stochastic Processes
- Advanced Machine Learning
Business Analytics track
- Finance with Big Data
- Deep Learning for Computer Vision
Students will also attend seminars for the development of behavioral abilities (e.g. teamwork; assertiveness and managing interpersonal relationships; public speaking; managing relationships in multicultural situations).
Internship (compulsory)
Foreign language (one EU language)
Thesis
