Science / Master's degree programme
Mathematics

General information for the a.y. 2021-2022

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
Call for Application / Short list Bando di ammissione al Corso di Laurea Magistrale a libero accesso di Matematica 2021-2022

Presentation

As of academic year 2020-21, the programme consists of three different curricula: - General Curriculum - Teaching Curriculum - Data Science Curriculum. It is intended not only for Bachelor's graduates in Mathematics, but also for all graduates in Scientific, IT, Economics and Engineering disciplines wishing to gain an in-depth knowledge of Mathematics to enter a highly-qualified job market or continue their studies with a PhD programme.

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 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. Ultimately, 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. Sergio Polidoro
e-mail sergio.polidoro@unimore.it
Tutor
prof. Sergio Polidoro
e-mail sergio.polidoro@unimore.it

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