The specialisation tracks

In the third year, you choose a specialization path within the School's three poles of excellence: "transport and energy", "mathematical engineering" and "computer science" covering the following sectorial domains: artificial intelligence, robotics and autonomous systems, cybersecurity, data science, mobility, mathematics for health and the environment, modelling and simulation, energy transition and entrepreneurship.

Many third-year courses lead to projects on concrete problems proposed by professionals.

Mobility and Energy Division


Track manager


Sustainable and intelligent mobility

Fabien Szmytka

Transportation is evolving towards "sustainable and intelligent mobility", respectful of the environment and interacting with a large ecosystem. This program provides students with the tools to design safer, intelligent and autonomous vehicles, integrated into multi-modal mobility networks.

Built in close collaboration with the sector's industrial players, it provides the cross-disciplinary vision required to understand all the engineering issues and then optimize future mobility systems from both a vehicle and network perspective.

Maritime engineering for transport and energy

Marica Pelanti

With its subsystems and interfaces, an offshore structure such as a fast ship, a cruise ship, a submarine or a hydrocarbon park is a complex entity that requires innovation and advanced techniques. Moreover, maritime areas still provide more than 30% of the hydrocarbons consumed today. Their exploitation is developing in increasingly extreme conditions requiring innovative studies.

At the same time, the emerging exploitation of marine energies (currents, tides, waves, winds, etc.) will continue to accelerate in response to changes in the energy mix. This program trains engineers capable of designing naval systems architecture with an overall vision, combining advanced conceptual knowledge and a systems approach.

Energy in transition: production and optimization

Didier Dalmazzone

This course addresses the challenges of efficient and clean energy production. It deals with both industrial and environmental aspects, by studying energy production processes and their technical and economic optimization, as well as the tools for managing facilities and networks. A large part of the courses is taught by industrial lecturers, from both large groups and innovative startups.

Nuclear power Jean Boisson

Built in close collaboration with the INSTN's "Atomic Engineering" program, this program meets the needs of industry and regulatory bodies for all nuclear engineering professions: R&D (future reactors and current reactors), design (neutronics, mechanics and thermal-hydraulics), production (operation, safety, maintenance, distribution, fuel).

The course also addresses the societal issues of nuclear power generation.

Some positions held by young ENSTA Paris graduates :

  • Acoustic calculation engineer at Renault
  • Project engineer at Bureau Veritas
  • Design engineer at SNCF
  • Integrator engineer at Safran Aircraft System
  • Aerodynamics engineer at Dassault Aviation
  • Space altimetry engineer at CLS

Mathematical Engineering Division


Track manager


Optimization and data sciences

Andrea Simonetto

This program offers courses in optimization, operations research, control, and data science, and trains engineers capable of designing mathematical models to control various systems. For students motivated by the scientific aspects, the association with the "Research and Innovation" profile is recommended. Its main outlets are the R&D departments of large companies.

Because of its multidisciplinary nature, it is also a choice course for students attracted to consulting and auditing professions.

Modelling and simulation

Sonia Fliss

Modeling and simulation are two complementary activities located at the interface between mathematics and other sciences. Modeling allows us to put a phenomenon into an equation and mathematical theories and methods allow us to analyze and discretize the model obtained. Finally, high performance computing tools are used to implement and simulate the model.

These disciplines are widely used in companies as well as in research centers and they can be applied in all sectors of activity. High-tech industries and industrial or university research centers are therefore natural outlets.

Quantitative finance

Francesco Russo

The objective of this program is to train engineers in quantitative finance. It is therefore aimed at students wishing to acquire advanced skills in stochastic analysis and master advanced statistical and econometric methods, with a view to their application to financial problems.

Depending on the specialization chosen, the program also provides students with a solid background in data mining and learning techniques that will enable them to extract valuable information for a financial institution from unstructured or unstructured data.

Mathematics for Health and the Environment Laure Giovangigli

This program offers mathematical training in stochastic and deterministic modeling, optimization, simulation and learning at the interface of the life sciences and in the service of the environment and health.

It echoes the concerns of companies and contemporary society in terms of environmental impact and health, and offers opportunities in sectors such as the environment, the pharmaceutical industry, and biomedicine.

Some positions held by young graduates:

  • Data Scientist at Kayrros SAS
  • Junior Data Scientist at EY
  • Optimization engineer at Artelys
  • Project manager for command and control at RTE
  • Research engineer at CEA
  • Operations Research Engineer at Air France

Computer science Division


Track manager



David Filliat

The objective of this course is to provide a strong system specialization based on ICST (Information and Communication Sciences and Technologies) for robotics or autonomous vehicles and more generally for complex systems in the world of transportation, energy and defense.

It addresses several topics such as embedded systems and their physical implementation, embedded software and their real-time, design and validation constraints, system engineering for the design of complex systems and all algorithmic aspects related to autonomous navigation, learning or perception.

Artificial Intelligence

François Goulette

Artificial intelligence (AI) is an essentially multidisciplinary field, at the interface between mathematics and computer science. The sector is growing rapidly and the expected economic and technological benefits are very significant.

This program, in partnership with Télécom Paris, covers all the major themes of AI. It allows students to access a position in industry or consulting, but also to pursue a doctorate.


François Pessaux

For companies, information systems (IS) represent a strategic, economic, technical and human challenge. Facilitating decision-making, a well-designed IS provides significant and lasting competitive advantages.

The "Cybersecurity" program trains architects, consultants and project managers who are recognized for their technological mastery of IS architecture, scalability and security.

Complex systems engineering for transportation, energy, defense (apprentice status)

Some positions held by young graduates:

  • Systems engineer at Safran
  • Autonomous vehicle system engineer at Valeo
  • Automatic and embedded systems engineer at NAVAL GROUP
  • Consultant in information systems security at EY
  • Software engineer at Google
  • Flight Management System Engineer at Thales