Bachelor in Intelligent Vehicle Systems Engineering and Simulation

Programme overview

Study vehicle structures, dynamics, control, sensing and system simulation through mathematics, mechanics, electrical engineering and data methods. Bachelor study develops validated vehicle subsystem models; master study deepens architecture, coupled energy and thermal systems, state estimation and digital-twin integration.

Automobile & Transports — Paris College of Automotive Science and Transport. Duration: 3 years.

Bachelor study progresses from foundations and guided exercises to integrated applied projects.

Study pathways

Intelligent vehicle systems; vehicle energy systems; condition monitoring and simulation. All pathways share a common core. Indicate your preferred pathway when applying; actual availability is confirmed before admission.

Learning outcomes

Develop vehicle foundations skills in structures, dynamics and system components, explaining methods, evidence and limitations.

Develop electrification skills in batteries, drives and energy foundations, explaining methods, evidence and limitations.

Develop sensor data skills in measurement, acquisition and quality, explaining methods, evidence and limitations.

Develop system modelling skills in physical, functional and dynamic behaviour, explaining methods, evidence and limitations.

Develop simulation validation skills in scenarios, calibration and performance, explaining methods, evidence and limitations.

Develop engineering practice skills in vehicle subsystem digital twins, explaining methods, evidence and limitations.

Learning content and competency modules

Study progression

Year 1: develop foundations, reading, analytical communication and guided cases.

Year 2: deepen specialist methods through pathway projects and evaluation of results.

Year 3: integrate methods in a final applied project, portfolio and oral defence.

Projects and practice

Develop a vehicle subsystem teaching model, connect sensor data and validate simulated operating scenarios.

Document the problem, working process, personal contribution, validation evidence and limitations. Individual contributions are assessed within team projects. Placements and external projects depend on actual arrangements.

Teaching and assessment

Technical reading, engineering cases, documented exercises and professional simulations develop reasoned analysis and practical judgement.

Assignments, case or laboratory work, staged projects and the final defence assess accuracy, methods, evidence quality, practical reliability and communication. Assessment weightings, reassessment and extension rules are published before teaching begins. Moodle may support resources, assignments, quizzes and feedback; specialist practical activities are assessed separately.

Entry requirements

Provide evidence of secondary education or equivalent study. Bachelor applicants should demonstrate mathematics and basic science foundations. MSc applicants should explain relevant engineering, vehicle, transport or data study. Applicants from other fields are assessed for any additional foundation requirements.

Submit education evidence, transcripts, a CV, a motivation statement and any requested project materials. Teaching language, language evidence and document-translation requirements are published for the intake. Website language does not determine teaching language.

Completion and institutional diploma

Complete the required modules and assessments, final project and oral defence. The programme leads to an institutional Bachelor diploma in Intelligent Vehicle Systems Engineering and Simulation.

Career development

Vehicle modelling assistant; simulation testing support; vehicle data analysis. Employment depends on individual skills, experience and employer requirements. Regulated work requires the applicable qualifications and authorisations. Further study is assessed by the receiving institution.

Applications

Select this programme and study level in the preliminary application. Admissions reviews the materials and contacts the applicant. A preliminary application does not constitute admission or a payment commitment.

Contact: admissions@espast.fr.