Information for PoD students

Master’s course

Information for
Physics of Data Students

study plan

Goals of the course

Developing fundamental methods and techniques for Big Data analysis to face the challenges that the digital revolution has brought to our society: these are the goals of the course, which trains a new generation of physicists, capable of combining advanced knowledge in physics with high-level training in the new data science.

While physics aims at interpreting natural phenomena whose complexity requires the collection, management and analysis of large amounts of data, the need to train professionals who also know how to develop methods and techniques for such analysis is growing.

As a “data physicist” you will have advanced training in physics, mathematics and computer and calculation techniques, you may find employment in many different contexts, such as academic institutions, research centers, digital and consulting market companies, start-ups and high-tech industries.

Lessons timetable

Schedule

The schedule of the first and second semester classes are published on the student’s Web Agenda of the University of Padova.

We recommend to check the schedule week by week since it might be subject to changes.

All courses are available through registration on Moodle platform.

The Moodle app is available for download on Android and iOS devices

Policy on Generative AI

Generative artificial intelligence (GenAI) technologies are rapidly transforming the contexts of academic teaching and research.

The University of Padua intends to encourage the responsible adoption of GenAI intelligence tools, so that they contribute to enhancing the effectiveness of teaching and scientific innovation, while protecting the quality of teachings, the value of original intellectual work and the reliability of scientific production.

exams schedules

Exams schedules

Exams are carried out at the end of each semester:

Winter Session (January-February).
Summer Session (June-July);
Autumn Session (August-September);

For each course, students can benefit from 5 opportunities per course during a given academic year to pass the relative exam. Failure to pass an exam is not indicated in the “exam transcript”, therefore the student must retake the exam in order to achieve a positive result. Students who will not complete their exams on time can complete their study plan in the subsequent year.

The evaluation of the exams is expressed out of thirty (scale 0-30), the minimum mark for passing the exam is 18/30 and the maximum mark is 30/30, to which “honors” can be added (30 and lode).

Exams may be oral and/or written (exercises, problems to solve as well as theoretical questions).

Exams schedules are published at the beginning of the academic year on the student’s Web Agenda of the University of Padova.