The institute offers a wide range of courses that provide students with the necessary knowledge for exact sciences (mathematics, statistics and computer science):
- Bachelor of Science in Economics and Business (FEB)
- Bachelor of Science in Economics and Sport (FEB)
- Bachelor of Science in Management and Sport (FEB)
- Bachelor of Science in Data Science (FS)
- Bachelor of Science in Mathematics (FS)
- Pillar in Economics (FLSH)
- Pillar in Digital Humanities (FLSH)
- Pillar in Management (FLSH)
The institute is in charge for the ‘Data Science/Business Analytics’ module, which allow students to acquire the necessary skills in data analysis, artificial intelligence, computational models and information systems. The master’s programmes concerned are:
- Master of Science in Finance (FEB)
- Master of Science in Applied Economics (FEB)
- Master of Arts in Journalism and Communication (FEB)
- Master of Science in International Business Development (FEB)
- Master of Science in Innovation (FEB)
- Master of Science in General Management (FEB)
The institute supervises doctoral theses on subjects related to its members’ areas of expertise, such as knowledge representation, digital nudges, statistical modelling and deep learning models. Some theses are supported by grants from the Swiss National Science Foundation or other private and public partners.
The titles issued are:
- PhD in Computer Science
- PhD in Information Systems
- PhD in Statistics
- Databases
- Econometrics
- Applied Mathematics 1
- Applied Mathematics 2
- Software Design
- Descriptive Statistics
- Inferential Statistics
- Information Systems
- Statistical Learning
- Information Technologies
- Data Visualisation
- Business Analytics
- Computational Thinking
- Data Management
- Data Science
- Econometrics
- Information Systems Design
- Machine Learning
- Programming
- Quantitative Methods for Managers
- Action recognition of great ape behaviors and communicative gestures using deep learning, M. Fuchs, 2025
- Designing digital choice architecture – Studies on the behavioral and attitudinal impact of digital nudges, K. Bergram, 2024
- Design, development and evaluation of digital nudges for digital wellbeing : an experimental approach, A. K. Purohit, 2023
- Digital support for health behavioral interventions, A. De Santo, 2022
- Ontology engineering using formal concept analysis from unstructured textual data, S. Jabbari, 2019
