MUNER - Motorvehicle University of Emilia Romagna
Master in Autonomous Driving Engineering (EEIV)DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline *
EARLIEST START DATE
Sep 2025
TUITION FEES
EUR 2,226 / per year **
STUDY FORMAT
On-Campus
* non-EU students: mid-february to early may | EU students: mid-april to early july
** maximum €2,226/year, with reductions based on ISEE indicator
Key Summary
Introduction
The curriculum in Autonomous Driving Engineering (ADE) is part of the Master’s Degree Course in Electronic Engineering for Intelligent Vehicles (EEIV).
The specific goal of the ADE curriculum is to provide future engineers with a solid knowledge of the methods and tools used in the development of intelligent transportation systems. In particular, this includes knowledge of software and electronic systems widely used in intelligent vehicles for: sensing the environment, processing sensor data, planning driving actions and manoeuvres, and driving a vehicle.
The ADE curriculum has a duration of two academic years.
During the first year courses are offered to strengthen students’ background knowledge on topics such as “embedded” and “real-time” electronic systems, automotive sensors, automatic control, vehicular radio communications, machine vision and deep learning.
The second year complements and specializes the first year, introducing students to electronic technologies and devices for automotive systems and offering various electives on advanced driver assistance systems, vehicle path planning and control, sensors for perception, simulation environments and HMI, and machine learning for autonomous driving.
The first academic year is located at the Department of Electrical, Electronic, and Information Engineering Guglielmo Marconi (Bologna Campus), while the second academic year is located at the Department of Engineering and Architecture (Parma Campus).
The number of places is limited to a maximum of 25 students. Admission is based on merit and interviews to assess motivation and skills. All classes are taught in English.
Muner's international faculty consists of highly experienced lecturers and professionals. The contents of the courses have been defined together with the contribution of the partner companies to ensure that the training is in line with the current requirements of the labor market.
The program requires students to participate in numerous laboratory activities, either on campus or at the premises of industrial partners, in line with a "learning by doing" approach. It also includes mandatory internships in private companies and lab-based thesis preparation activities, which are conducted using a "project work" approach.
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Ideal Students
MUNER is looking for the engineers of the future.
The requirements for the ideal candidate are:
- Top 20% Bachelor's degree (or equivalent) or minimum score of 95/110
- Strong background in STEM
- Certified knowledge of English (B2 - CEFR)
- Passion for cutting-edge automotive innovation and technology
- Desire for a complete live experience in the Italian Motor Valley
Admissions
Scholarships and Funding
Scholarships and ER.GO support is available.
Curriculum
The first academic year is located in the Bologna Campus while the second academic year is located in the Parma Campus.
First Year (University of Bologna)
Mandatory
- Advanced Automotive Sensors M
- Hardware-Software Design of Embedded Systems M.I.C.
- Architectures and Firmware M
- Real-Time OS M
- Architectures and Firmware M
- Real-Time OS M
- Automatic Control M
- Image Processing and Computer Vision M
- Vehicular Radio Propagation M
- Deep Learning for Engineering Applications
Elective courses 12 CFU
- Power Electronics for Automotive M
- Test, Diagnosis, and Reliability M
- Statistical Signal Processing M
Second Year (University of Parma)
Mandatory
- Electronics and Lighting Technologies for Automotive M I.C.
- Electronics for Automotive Systems M
- Automotive Lighting and Ranging Technologies M
- Computer Engineering Laboratory M
- Final examination M
- Final Examination + Internship for Preparation for the Final Examination
- Final Examination + Internship Abroad for Preparation for the Final Examination
- Final Examination + Preparation for the Final Examination
Elective courses 12 CFU
- 3D Perception, Learning-Based Data Fusion M
- Autonomous Driving and ADAS Technologies M
- Visual Perception for Self-Driving Cars M
- Virtual Systems and Human Machine Interface M
- Path and Trajectory Planning M
- Vehicular Communications M
Courses are freely chosen by the student 12 - 18 CFU
- Product Safety, Product Liability, and Automotive M *
- TACC 1 - Training for Automotive Companies Creation M *
- TACC 2 - Training for Automotive Companies Creation M *
- All other exams of the plan not previously chosen M
Program Tuition Fee
Career Opportunities
The curriculum has been designed in close collaboration with companies operating in the automotive sector, in order to allow the seamless insertion of graduates in high-level positions in the research, development and manufacturing environments focused on vehicles and their technologies.
Since companies require highly qualified engineers with specialized skills, the Master's program requires students to complete mandatory internships in private companies, as well as laboratory-based thesis preparation activities that follow a "project work" approach. Students also attend seminars with industry and international speakers, factory visits and alumni talks throughout the year.
The broad-spectrum view on Information Technologies makes the graduate in “Electronic Engineering for Intelligent Vehicles” an ideal candidate to play the role of project manager in the conception, design, production, and maintenance of complex systems in which the overall functionality depends on the interaction of multiple heterogeneous systems.
Graduates will be able to deal with concepts, methods, and architectures used to enable advanced driver assistance systems up to fully autonomous driving. They will also be able to participate in concept development, specification definition, design and implementation of end-user safety systems, intelligent transportation systems based on perception devices, algorithms, planning and control strategies.
Faculty
English Language Requirements
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