Budapest University of Technology and Economics

What you'll study

The course structure is credit-based and includes the following areas:

• Foundations: mathematics, numerical methods, control theory and system dynamics (8 credits).
• Information technologies: artificial intelligence, computer vision systems, high performance microcontrollers and interfaces (11 credits).
• Additional skills: human factors, legal framework, processes and quality systems, project management and compensation block courses (22 credits).
• Advanced science, technology and specialisations: vehicle sciences and technology, localization, embedded systems, machine vision, traffic modelling–simulation and control, safety and reliability (23 credits).
• Specializations: automated driving systems, vehicle dynamics, testing and validation, environmental sensors, network and communication (26 credits).
• Thesis work: Master thesis parts 1 and 2 (30 credits).
• Internship: industrial practice (4 weeks).

Entry requirements

Applicants need an eligible BSc degree to apply for this MSc. Further details on application procedure, deadlines and language or document requirements are provided on the programme's e-admission pages.

Career prospects

Graduates typically find roles as development engineers in the automotive industry, working on driver assistance and highly automated systems involving sensing, control and vehicle integration.

Scholarships & funding angle (general)

Information about tuition fees, scholarships and preparatory programmes is referenced on the programme website; applicants should consult the official pages for available funding options and any preparatory or housing information.