Science / Master's degree programme
Mathematics

General information for the a.y. 2022-2023

Disciplinary areaScience
Duration 2 years - 120 Credits
Admission Accesso Libero No limited access
Language Partially taught in English (4 courses)
Teaching method Lectures
Regulation Main Teaching Regulations

Presentation

As of academic year 2020-21, the Programme offers three different paths: - General curriculum - Educational curriculum - Data Science curriculum The programme is intended not only for Bachelor's graduates in Mathematics, but also for all graduates in Scientific, IT, Economics and Engineering disciplines wishing to complete their studies in Mathematics and gain the skills required to enter a highly-qualified job market or continue their studies with a PhD.

Course content

Based on the training programme chosen, the Master's Degree in Mathematics provides for a deep study of Algebra, Mathematical Analysis, Numerical Analysis, Geometry, Probability, Mathematical Physics, and Physics. The training offer also covers a wide range of optional teachings on various aspects ranging from Mathematics teaching to applied Mathematics. Internships in companies, banks or financial companies, or in schools are also part of the degree programme. A significant portion of the curriculum is devoted to the thesis, which allows students to prepare an original paper.

Career options

Based on the training programme chosen, Master graduates in Mathematics may enrol in a Ph.D. programme, paving the way to universities or public and private institutions. Graduates can also strive for taking on managerial roles in highly specialized job markets, or working in the dissemination of scientific culture. They can also continue specialising in Applied Mathematics by enrolling in Vocational (first-level) or Advanced (second-level) Master Programmes or in other high- training programmes. Finally, graduates can get a full teaching qualification by participating in the activities provided by the Teacher Training programme.

List of single courses taught in English

- Computational Topology [ credits: 6]
- Introduction to quantum information processing [ credits: 6]
- Numerical Algorithms for Signals and Images Processing [ credits: 6]
- Physics education: Theoretical and experimental methods [ credits: 6]

More information

Course Director
prof. Marco Prato
e-mail marco.prato@unimore.it
Tutor
prof. Marco Prato
e-mail marco,prato@unimore.it

The course is managed by the Department of Physics, Informatics and Mathematics