Study Plan - Bocconi University

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.

Main topics:

Computer Science
Statistics
Machine Learning
Business Analytics
Natural Language Processing

Data Science track

Optimization
Computer Science Algorithms

Business Analytics track

Marketing and Innovation
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.

Semester 1

Computer Programming and Database Systems	8
Statistics and Probability	8
Econometrics for Big Data	8
Business Analytics	8

Semester 2

Behavioral skills seminar	2
Natural Language Processing	6
Machine Learning	8
Track in Business Analytics:
— Innovation and Marketing Analytics	6
— Simulation and Modeling	8
Track in Data Science:
— Optimization	8
— Computer Science (algorithms)	6
Total credits points of the first year	62

2 electives

Data Science track

Stochastic Processes
Advanced Machine Learning

Business Analytics track

Finance with Big Data
Deep Learning for Computer Vision

Internship (compulsory)
Foreign language (one EU language)
Thesis

In the second year, students choose between two tracks and personalize their curriculum. They are also encouraged to participate in an internship, in Italy or abroad.

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).

Track in Business Analytics:
— Finance with Big Data	8
— Deep Learning for Computer Vision	6
Track in Data Science:
— Stochastic Processes	8
— Machine Learning II	6
Elective 1 and 2	12
Digital Privacy Seminar	2
Foreign language	4
Internship	8
Thesis	18
Total credits points of the second year	58
Total credits points	120

Please note that the program structure is subject to change.

The study plan requires one European Union language.
More specifically:

Italian for non-Italian native speakers
French, Spanish, German for Italian native speakers

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To search and get more information on the content of the various courses, browse the description of courses taught in 2023-2024.

Learning Objectives

Attachments

Intended Learning Outcomes