Programme details

What will you learn?

The Bachelor's degree programme in Mathematics for Engineering is unprecedented. It overcomes the disconnection between mathematical science and engineering foundations, aiming at an equally solid interdisciplinary preparation in both disciplines.

The first three semesters of the degree programme will foucus on core subjects (mathematics, physics, chemistry, and computer science). Gradually, on one hand you will learn more about mathematics, physics, and computer science fundamentals, on the other, you will acquire the application tools of scientific computing, statistical analysis, optimization methods and mathematics for AI. Finally, the elective courses will allow you to complete your educational path from an IT and engineering perspective. 

At the end of your educational path, there will be an interdisciplinary final examination with the dissertation of your thesis.

How will you learn it?

Besides traditional face-to-face lectures and classroom exercises, the programme also includes participation in computer labs, where you will apply widely used software for industry, plus programming languages, such as Python and C++, which are the standard in the world of data processing and scientific computing.  

Moreover, some of the classes involve individual or small group projects, in which you will test your teamwork skills, present your work, and write technical reports.

What you can do next

Upon completion of the Bachelor’s degree programme in Mathematics for Engineering studies, the ordinary following path is the Master's degree programme in Mathematical Engineering, which is divided into two main curricula: physical-numerical modeling and statistics and optimization on networks. The study paths offer a wide choice of subjects, ranging from modeling and simulation of physical systems to machine learning, from models in the pharmaceutical and biomedical fields to those for finance. In addition to traditional topics, innovative areas such as cryptography, cryptoeconomics, bioinformatics, and artificial intelligence are also covered.

Alternatively, the strength and flexibility of the training contents will allow you to pursue your education abroad if you wish. Our graduates have been successful for admissions in Master's degree programmes, after the Bachelor's degree, and PhD programmes, after the Master's degree, in many prestigious universities in Italy and abroad.

Graduates in Mathematical Engineering at Politecnico di Torino can quickly and effectively enter the labour market, which greatly appreciates the problem-solving skills acquired with a broad interdisciplinary approach that mixes mathematics and engineering, and thanks to the mastery of rigorous tools of calculation, simulation and prediction: many of your colleagues have found a job even before graduation.

The employment opportunities are extremely diverse: mechanical and aerospace industry, pharmaceutical and biomedical industry, financial services and insurance, banking, national and international regulatory and supervisory bodies, consulting - both in technology and management -, management of energy systems, software development for scientific computing and artificial intelligence, and much more.