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VIDEPILLOLE_ULTIMA_11.pngMaster Universitario di II livello in
Mathematical and Physical methods
for Aviation Sciences
(MPM Aviation Sciences)


Director Vivina Laura Barutello
Academic year 2022-2023


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MPM Aviation Sciences

Agenda | in update

  • Live talk Webinar
    21rt of June at 5 p.m. | webex
  • Application: 3rd of July - 8th of September 2023
  • Evaluation: September 2023
  • Enroll: October 2023
  • Classes: November 2023 - March 2024
  • Internship:April - September 2024

Application and Admission  

Applications open from the 3rd of July, h 9:30, and close September 8th, h 15:00, and follow the general rules of Università di Torino, that you can find in the enrolment procedure.
The interviews for admission to the Program are scheduled in the week of the 11th of September via Webex.




Knowledge: advanced mathematics and physics contents to get high-level skills for working in aviation-related industries or, more generally, in industries that heavily make use of data analysis and machine-learning algorithms.

Innovation: devise of new methods with strong technology impact in aviation sciences.

Experience: to start a career working in a challenging context.

Interaction: making connections with top experts of academies and aviation industries.


Coordinator:  Matteo Luca Ruggiero

What is this master?
The Master in Mathematical and physical methods for aviation sciences is a one year curriculum which aims to provide students with advanced education for professions in the specific field of the aviation sciences; this field requires a high level of qualification and it is characterized by a strong interaction between academic research and industrial issues. One of the purposes of the master is to introduce people with solid knowledge in mathematics and physics in the field of the aviation sciences

The emphasis of the course topics will be both theoretical and applied, providing the capability of discerning, combining and applying the most useful and modern methods available in mathematics and physics.

The Master is currently the only offer of this type in the north of Italy.

Why should I be willing to enroll in this master's program?
Aviation related industries are attractive workplaces, where people with different educational backgrounds cooperate to solve challenging problems. To work in such contexts is a great opportunity to use advanced mathematical and physical contents in a business environment and to do research out of the academy.

Whom is the Master's Degree aimed at?

The Master is aimed at highly motivated students who have obtained or are close to obtaining a master degree (laurea magistrale for students in italian universities) in mathematics, physics, engineering or information technology and who are interested in working in challenging and exciting industrial themes. This program is expressly aimed at mathematicians and physicians.

Students are expected to be oriented to develop critical capabilities and problem solving skills, to be interested in working in international and challenging contexts and to be able to work in teamwork.

At the end of the Master's program, students will have high-level scientific competences and valuable technological knowledge.

They will be ready to be introduced in a business environment and develop a professional career with a strong interaction between academic research and industrial issues.

During the Master students will develop specific expertise in mathematical and physical topics, including advanced numerical methods, data analysis, machine and deep learning, optimal control theory and physics of fluid, courses in cybersecurity, basic lean management and (semi) automated certification will complete the preparation.

They will experience working in a group, writing reports and projects and making a presentation.

At the end of the program the students will have transversal skills, such as communication abilities, problem solving and a high attitude to learning and working in a multidisciplinary environment.

How to

Prerequisites and eligibility

Applications are open to anyone holding or being close to obtaining an italian Master degree in one of the following classes:

  • LM17 Fisica
  • LM18 Informatica
  • LM40 Matematica
  • LM20 Ingegneria Aereospaziale Astronautica
  • LM25 Ingegneria dell’Automazione
  • LM27 Ingegneria delle Telecomunicazioni
  • LM29 Ingegneria Elettronica
  • LM32 Ingegneria Informatica
  • LM33 Ingegneria Meccanica
  • LM44 Modellistica matematico-fisica per l’ingegneria
  • LM58 Scienze dell'Universo

Graduating students may also be admitted to enroll in the master's program: the possession of the required qualification must be achieved within four months from the closing date for enrollment.

People possessing an international master degree can apply too; the evaluation committee will certify if the degree can be considered equivalent to the Italian one.

Information required to complete the application

Application follows the general rules of Università degli Studi di Torino, that you can find in the enrolment procedure. Please, notice that the preliminary steps to admission are registration at the university portal and submission of the application form. Matriculation is the last step, after passing the evaluation procedure.

When applying, you will be asked to upload:

  1. your CV (in Italian or English)
  2. your official grade transcript (in Italian or English), if you hold a MA or one-long cycle degree program, or

    2bis. a letter of your advisor with the expected month of graduation, if you do not hold a MA or one-long cycle degree programme
  1. your motivation letter (in Italian or English, approximately 3000 characters)

Admission to the Program of eligible candidates is subjected to an evaluation based on the curriculum vitae and the documentation provided by the candidates. The verification of the candidate's personal preparation will be supplemented by an interview.
The evaluation committee will formulate an eligibility judgement and establish a ranking which will be followed for enrollment.

The programme consists of some courses,  an internship and a final examination.

The courses are divided in three groups:

Group 1 – Foundations

  • Analytical methods: optimal control theory – 4 credits
  • Numerical methods – 3 credits
  • Physics of fluids – 3 credits

Group 2 – Core topics

  • Analysis of industrial processes – 3 credits
  • Cybersecurity – 3 credits
  • Introduction to (semi)automated certification – 4 credits

Group 3 – Data analysis

  • Data analysis – 6 credits
  • Machine learning – 4 credits
  • Advanced deep learning and machine learning– 6 credits

Each credit corresponds to 25 hours of commitment of the student, 8 of which will be in the classroom.

Courses a.a. 2023/2024


Students are required to do an internship in the second part of the master. The duration of the internship is about 500 hours. At the end of the internship students will write a report of their activity.

Final examination

The final examination consists of the presentation of the internship work. 

Here the list of internship-themes of a.a.2021-22:

  • Analisi ed elaborazione di dati di Training per l’ottimizzazione del percorso addestrativo di piloti e manutentori aeronautici attraverso l’applicazione di tecniche di Machine Learning (Leonardo)
  • DeepBlue internship (DeepBlue)
  • Health Data Analysis - Definition of data lake and machine learning models for ground-based analysis of aircraft health management data (Leonardo)
  • Autonomous UAV path planning with deep reinforcement learning techniques (Leonardo)

Courses usually start in November.

Courses attendance is compulsory.

Students must attend at least the 70% of the lessons.

In 2023-24, the tuition fees are 3500 euros per year, to be payed in four instalments:

  • 500 euros, within November 2nd, 2023
  • 1000 euros, within December 31st, 2023
  • 1000 euros, within February 25th, 2024
  • 1000 euros, within March 31st, 2024

Three of the four students of the first edition of the master are now employed with a permanent position in the same industry of their stage or in a different one. The forth one decided to change, choosing to go to teach in the secondary school.

In particular these are the experiences of two of them:
“I decided to enroll in the Master Mathematical and Physical Methods for Aviation Sciences at the end of my master's degree in mathematics. I realized that this course would have allowed me to develop many soft skills and deepen my knowledge in the field of Machine Learning. One of the principal reasons that pushed me in this direction was the collaboration between University and industries, and the possibility of being introduced with an internship directly in the industrial world.
Currently, following the internship in Leonardo, I have been hired on a permanent position and I have been introduced to some projects that fully exploit artificial intelligence technologies in the field of aviation; without this Master I would not have had this opportunity to learn so much. This course was a first input for the every-day training typical of Leonardo, a very dynamic and incentive context where you never fail to learn.”

After years spent studying theoretical mathematics, I felt displaced thinking to the world of work: I couldn’t understand how my knowledge and skills could be applied. The master seemed a good way to approach this new world and one of the possible applications of mathematics in the business environment. Moreover, the aviation sector, at first glance, felt closer to me than, for example, the insurance sector.
Today, I work in a consulting company in Turin. My role is “data engineer”. The idea in the future after having gained some experience is to get closer to machine learning topics.
The internship experience was more than positive and the master helped me to discover a new world that I didn't know I could like.

Courses and seminars are usually scheduled in the period November - March. The rest of the academic year will be devoted to the internship.

The final examination is usually planned in september/october.

Classes will take place will take place at the Department of Mathematics of the University of Turin, via Carlo Alberto 10, Turin.


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Ultimo aggiornamento: 01/09/2023 12:40
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