Course details | Cattolica International

Year 1

Year 2

Gauge theories (6 ECTS)
6 ECTS among:
- Solid state physics (6 ECTS)
- Quantum phenomena and technology (6 ECTS)
- Advanced solid state physics (6 ECTS)
6 ECTS among:
- Differential geometry (6 ECTS)
- Artificial intelligence and machine learning (6 ECTS)
- Time series analysis and forecasting (6 ECTS)
- Stochastic processes and optimization for machine learning (6 ECTS)
Internship in partner companies and research institutions (6 ECTS)
Final dissertation (36 ECTS)

Year 1

Advanced techniques for physics research (12 ECTS)
Quantum physics of atoms and molecules (8 ECTS)
Statistical mechanics and complex systems (8 ECTS)
Solid state physics (8 ECTS)
6 ECTS among:
- Non-linear optics (6 ECTS)
- Quantum phenomena and technologies (6 ECTS)
12 ECTS among:
- Coding for data science applications (6 ECTS)
- Data analysis: techniques and tools (6 ECTS)
- Artificial intelligence and machine learning (6 ECTS)
- Cloud computing and technologies (4 ECTS)
- Deep learning applications (8 ECTS)
Internship in partner companies (6 ECTS)
Seminar on theological issues (in Y1 or Y2)

Year 2

6 ECTS among:
- Gravity and cosmology (6 ECTS)
- Micrometeorology (6 ECTS)
6 ECTS among:
- Quantum electronics and photonics (6 ECTS)
- Advanced solid state physics (6 ECTS)
- Surface and nano science (6 ECTS)
12 ECTS among:
- Technologies in action lab* (4 ECTS)
- Economics of innovation* (6 ECTS)
- Design thinking and start-up launch* (8 ECTS)
- Organizing and leading change* (6 ECTS)
- Project financing and open innovations* (8 ECTS)
- Sustainable business innovation and finance (6 ECTS)
Internship in partner companies (6 ECTS)
Final dissertation (30 ECTS)

*Milan campus

Year 1

Year 2

Year 1

Advanced techniques for physics research (12 ECTS)
Quantum physics of atoms and molecules (8 ECTS)
Science and management of climate change (6 ECTS)
Micrometeorology (6 ECTS)
Environmental Pollution (6 ECTS)
Radioactivity and environmental and biological risks (8 ECTS)
6 ECTS among:
- Coding for Data Science and applications
- Data Analysis Techniques and Tools

Year 2

Scientist
Research coordinator
Quantum engineer
Teaching and scientific outreach
Data analytics expert in: finance and economics, public administrations, public and private research institutions
Financial risk Manager
Innovation manager
Research coordinator
Data analytics expert in: science and technology parks, public administrations, public and private research institutions

Classes for the academic year 2025/26 start on September 29, 2025.

The calendar of the Faculty of Mathematics, Physics and Natural Sciences for the academic year 2025/26 will be published here in July.

Students are required to attend theology teachings aimed at offering a reasoned and critical knowledge of the Christian message.