Structure and contents

For the first three semesters, students follow a mandatory core programme. In the fourth semester, they choose one of the streams in "Informatics" or "Finance & Economics". The two streams will diversify towards more methodological or more applied directions. There will be the possibility of choosing electives in the fifth and sixth semesters.

A unified knowledge base bridges the Finance & Economics and Informatics streams, spanning courses throughout the entire six-semester programme.
In the fourth semester, students can delve into the specializing Finance & Economics stream or immerse themselves in the specializing Informatics stream.

Plan valid for students enrolled in the academic year 2025-2026

First Semester ECTS

Calculus

9

Introduction to Data Science (BSc)

3

Principles of Finance

6

Programming Fundamentals for Data Science

6

Software Atelier 1: Fundamentals of Informatics

6

Alpine Seminar*

1.5

   

Second Semester

ECTS

Algorithms & Data Structures

6

Calculus 2

6

Linear Algebra

6

Programming Fundamentals 2

6

Statistics: Data Analysis and Probability

6

   

Third Semester

ECTS

Artificial Intelligence (BSc)

3

Mathematics for Data Science

6

Numerical Programming

9

Probability & Statistics

6

Statistics: inference 

6

   

Fourth semester

ECTS

Design, Causality and Modelling

3

Introduction to Econometrics

6

Machine Learning (BSc)

6

Stream Finance&Economics

15

or

 

Stream Informatics

15

   

Fifth Semester

ECTS

Data Science Atelier

6

Econometrics

6

Stream Finance&Economics

18

or

 

Stream Informatics

18

   

Sixth Semester

ECTS

Data Analytics

6

Project

6

Stream Finance&Economics

18

or

 

Stream Informatics

18

   

ECTS TOTAL

180

*can be taken in any year/semester

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  • Language

    The programme is entirely taught in English; no language certificates are required for admission.

    Language courses at USI

    USI offers courses in English, French, German and Italian free of charge for Bachelor/Master students, PhD students, and academic and administrative staff of all its Faculties.

    Specific information is available at the links below: