Ing¨¦nierie Math¨¦matique et Data Science

The Mathematical Engineering and Data Science (IMDS) Department trains engineers specialized in:

• Data Science and Big Data

• Digital Engineering and Artificial Intelligence (AI)

The IMDS department also offers students the opportunity to pursue a double degree in Mathematics (Bachelor¡¯s level) at the end of the first year of the engineering cycle. A double Master¡¯s degree (M2) in Mathematics or Computer Science is also available in the final year.

Data Science lies at the intersection of mathematics, statistics, artificial intelligence, and computer science. Its aim is to extract value from data. With the advent of Big Data, companies have accumulated vast amounts of information and now seek to exploit it (cleaning, aggregating, analyzing) to offer better services, solve complex problems, or make informed decisions. The demand for Data Science engineers is currently very high in sectors such as banking, insurance, major industrial companies, healthcare, sports, and more.

Engineers specializing in numerical simulation are trained to model and simulate various phenomena (e.g., climate, tire performance based on physical characteristics) using techniques from scientific computing (e.g., partial differential equations) and artificial intelligence (e.g., machine learning). Career opportunities are abundant in sectors such as energy and large industrial enterprises.

Engineers trained in our department possess diverse skills and can also work in other sectors, such as digital services companies (ESN).

Examples of internships or professional training contracts:

• Data Science applied to predictive maintenance (ArianeGroup)

• Model hybridization using machine learning for connected mobility (Michelin)

• Implementation of a machine learning algorithm to predict plant species from satellite images (Spheer.ai)

• Optimization of geomechanical models using AI methods (EPFL)

• Creation of an AI model to predict corn yield (Bayer)

• Generative AI models for tire sculpture design (Michelin)

• Machine learning models to predict plant fertility from genotype data (KWS)

• Development of algorithms for football analysis using tracking and event data (Clermont Foot)

• Python development of an interface to manage tools for radar operation (Thales)

• Development of an AI algorithm to transcribe voice into text (MAIF)

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IMDS Graduate Testimonials:

¡°A dynamic school with quality teaching and a fulfilling student life.¡±
¡ª Cl¨¦ment, Class of 2022

¡°Great courses, a good working atmosphere, and lots of extracurricular activities ¡ª plus, life in Clermont is really enjoyable.¡±
¡ª Julie, Class of 2022

¡°Skilled, dedicated, and supportive professors who care about everyone¡¯s success, small class sizes, and a pleasant campus.¡±
¡ª Guillaume, Class of 2021

¡°The quality and human values of the teaching staff.¡±
¡ª Nicolas, Class of 2021

The truth about Clermont-Ferrand:

https://www.youtube.com/watch?v=zxdsBM5-n7Q

Partnership:
The Class of 2022¨C2025 is sponsored by Akkodis.

The Class of 2023¨C2026 is sponsored by Clermont Foot 63.