The program in Data Science and Scientific Computing is organized in three curricula:
- Artificial Intelligence and Machine Learning
- Data Science and Applications
- Computational Science and Engineering
Each curriculum is further organized in several study plans, each corresponding to a specific application area, proposing a choice of specialization courses.
The first semester of first year is devoted to core courses common to all three curricula. The second semester of first year is focussed on core courses specific to each curriculum. In the second year, instead, the student can choose specialization courses on an application area of interest, depending on the selected study plan.
During the second year, students will also have to complete their preparation with seminar courses, they can do an intership in a company or in a research lab, and they will have to write their master thesis.
For those that are fond of bureaucratic documents or that want to design their own customized study plan, guidelines are provided in the following pdf files: