Issues

Industry, transport, logistics, robotics, artificial intelligence, security, health, environment, banking, finance, big data, genomics… with the explosion of digital needs in such sectors, the “mathematics and computer science” courses are scientific courses that are ideally placed to address societal issues.

The CMI Mathematics and Computer Science trains scientists as engineers with dual skills; it provides a general base in applied mathematics and computer science, to which specialisations are added. For example, a specialization in “mathematical optimization” will have an advanced component in algorithmics, optimization, operations research, scientific computing and artificial intelligence. This course enables students to design, specify and integrate software solutions in the fields of decision support, machine learning and data science, as well as to solve complex problems in an interdisciplinary context.

 

Business sectors

Graduates of a CMI Mathematics-Computing course will find themselves in management positions in companies working in a wide variety of sectors in the private and public sectors, ranging from SMEs to large groups, including ESNs (digital service companies), software publishers, and in scientific research and higher education.

They will be employed in areas such as

  • mathematical modelling, statistical modelling, decision-making applications, scientific computing, etc.
  • optimisation, operational research, decision support, simulation, artificial intelligence
  • engineering, product and service design, computer security, data sciences.

Among the accessible professions, we can cite the following:

  • engineer in computer science, optimization, statistics, simulation
  • data scientist, data analyst
  • teacher-researcher in applied sciences.

In sectors such as :

  • mass distribution
  • telecommunications
  • software companies
  • production of goods and services
  • health (care planning)
  • the internet and e-commerce
  • energy (production and storage management)
  • transport (optimisation of deliveries, public transport)
  • companies in the banking, insurance and finance sectors
  • companies in the biomedical and health sectors (individualized medicine)
  • data processing (acquisition, reporting, modelling, forecasting, data science)
  • R&D in computer science and applied mathematics.