The curriculum in Autonomous Driving Engineering (ADE) is part of the Master’s Degree Course in Electronic Engineering for Intelligent Vehicles (EEIV). This curriculum integrates teaching activities belonging until the academic year 2021/22 in the Master’s Degree Course in Advanced Automotive Electronic Engineering (AAEE) with subjects and teaching activities specifically focused on Autonomous Driving; the specific aim of the ADE curriculum is to educate future engineers with a solid knowledge of the methods and tools used in the development of intelligent transportation systems. In particular this includes knowledge about software and electronic systems widely used in intelligent vehicles for: perceiving the environment, processing sensor data, planning driving actions and maneuvers, and driving a vehicle. 

The ADE curriculum has a duration of two academic years. During the first year, taught in the Bologna campus, courses will be offered in order to strengthen the student 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, taught in the Parma campus, complements, and specializes the first, exposing students to electronic technologies and devices for automotive systems and also offering various elective courses on Advanced Driver Assistance Systems, vehicles path planning and control, sensors for perception, simulation environments and HMIs, and machine learning for autonomous driving.

The number of positions is limited to a maximum of 25 students. Admissions are based on merit and interviews evaluating motivations and skills. Teaching is entirely delivered in English.

The international teaching staff of MUNER includes highly experienced lecturers and professionals. The contents of the courses have been defined together with the contribution of the partner companies to ensure that training is in line with current requirements of the labour market. The program requires student participation in numerous laboratory activities either on campus or on the premises of industrial partners, in line with a “learning by doing” approach. It also includes industrial internships and lab-based thesis preparation activities carried out following a “project work” approach.