Applied Mathematics and Computer Science
In the Applied Mathematics and Computer Science department (called IMI : Ingénierie Mathématique et Informatique), students can choose different tracks, gaining strong skills in modelling, scientific computing, optimization, and algorithmic design.
4 tracks in 2nd year
In the second year, we offer four tracks, namely:
- Mathematical Modelling (MOMA)
- Vision and Learning (VISA)
- Probability and Finance (PROFI)
- Optimization (OPTIM)
All four tracks are available in English. Each track includes open weeks and dedicated days featuring activities such as talks by academic and industry experts, hackathons, and company visits.
The curriculum also combines core courses (law, foreign—or French—languages, sports), mandatory scientific courses (e.g. statistics, optimization), and elective courses.
In the second semester, students complete a Department Project, working in teams on a real-world problem, often in collaboration with industry or research partners. This project develops both technical skills and autonomy in problem formulation and implementation.
in addition, together with the Industrial Engineering department, we also offer a mixed track Data Science and Decision Engineering (DSID).
Opportunities in 3rd year
For the third year at ENPC in the IMI department, we offer a mixed track together with the Industrial Engineering department, called "Data Science for Industry" .
We also strongly encourage our students to apply to the following Master programs.
Recommended Masters' programs
- MVA (Mathematics, Vision, Learning)
- MPRO (Operational Research)
- PMA (Probabilities & Random models)
- Mathematics for Modelling
- Probabilities and Finance (El Karoui)
Other possible Master's programs
Apart from the PMA program, all applications should be submitted on Institut Polytechnique de Paris platform.
FCI and IPEF
The "Formation Complémentaire Intégrée" (FCI) is reserved for polytechnic ("X") and ENS ("normaliens") students.
Within the IMI department, we offer a double degree combining the engineering diploma (ENPC) and a Master’s degree. The compatible Master’s programs include:
- MVA, MPRO, PMA, Mathematics for Modelling, Probabilities and Finance, Data Science all from IP-Paris
- PMA (Probabilities & Random models) from Sorbonne Université.
The students must apply to the Masters independently (via the Institut Polytechnique de Paris platform, or the Sorbonne platform for the PMA Master) for the Master degree. To validate the engineering degree within this track, they must also complete the additional FCI coursework: FCI option.
IPEF students can follow the FCI format within the IMI department.
Applicants are expected to have a solid background in mathematics and basic programming skills. In particular:
- Probability theory: discrete and continuous distributions (including Gaussian), expectation, independence, and common probability laws.
- Multivariable calculus: partial derivatives, gradient, Jacobian, Hessian, and basic differential analysis.
- Optimization: convexity, coercivity, and methods for finding local minima.
- Programming: proficiency in Python, including basic imperative programming (loops, functions, data structures).
A strong interest in mathematical modelling and computational methods is also expected.
Graduates of the IMI program pursue careers in:
- Finance: quantitative analyst, structuring, trading, risk management
- Artificial Intelligence & Data Science: data scientist, data engineer, machine learning engineer
- Industry & R&D: applied research, modelling, simulation, high-tech development
- Optimization & Operations Research: logistics, supply chain, decision support systems
- Engineering consulting: scientific computing, modelling, algorithm design
- Public research and academia