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Objectives : The engineer in Computer Science designs, deploys, and operates intelligent systems in response to socio-economic challenges.
They draw upon theoretical and technical knowledge in mathematics and computer science, as well as in communication and the electronics of connected objects, with the aim of replicating human intelligence through machines.
They are familiar with the broad application areas of intelligent systems, such as healthcare, industry, the environment, automotive, and entrepreneurship.
Continuous interaction between the academic and industrial worlds:
Regular and practical application of coursework: the subjects taught are aligned with the apprentice's responsibilities in the workplace, allowing them to directly apply their academic knowledge to industry;
Individualized support: the apprentice is mentored by an academic tutor at UTT and by their workplace supervisor.
Public concerned : Bac / Bac +2
Degree Level (EU) : 7 - (EQC level or equivalent)
Admission requirements : To apply for the common core curriculum (high school diploma and first year of university): Online application at http://parcoursup.fr
To apply for specialized programs (two years of university and above): Online application at https://www.groupe-ut.fr/
Acquired skills during the training : The UTT SN engineer is a generalist engineer, employed by a company for two years upon graduation. Their skills are particularly developed in the fields of artificial intelligence and connected objects, thanks to their academic coursework. This program is also demanding in the areas of communication and expression (EC), business management (ME), and humanities (HT), through practical experience, with five presentations required during the curriculum, one of which must be in English.
Lead an innovation project within an industrial, entrepreneurial, or research framework, ensuring objectives are met
Analyze the needs of an AI-driven Internet of Things (IoT) project
Design artificial intelligence algorithms for connected objects
Design and operate an IoT environment
Develop and integrate the proposed AI/IoT solution based on client needs analysis
Deploy and evolve an AI-driven IoT solution
Targeted careers : Career Opportunities by Sector
The UTT SN engineer is destined for a career in numerous digital fields, from research to development:
Digital services companies (ESN);
Embedded application development companies;
Software manufacturers;
Industries: healthcare, aerospace, automotive, defense, environment, etc.;
Consulting and consulting firms;
Entrepreneurship.
Career Opportunities by Profession:
AI Engineer;
Machine Learning Engineer;
Big Data Architect;
Business Intelligence Project Manager;
Chief Data Officer;
Data Scientist;
Data Engineer;
Data Analyst;
IoT Developer;
Embedded Systems Engineer.
Duration and terms : 5 years
Dedicated web site : https://www.utt.fr/formations/diplome-d-ingenieur/systemes-numeriques