Autonomous electric mobility course
Online course of 300 hours in autonomous electric mobility. 6 modules covering autonomous electric vehicle architecture, sensors and perception, localisation, planning and control, safety and validation, and regulation and operation, with an assigned technical tutor.
Autonomous electric mobility course — studying from Canada
Canada is building capacity in electric vehicles, battery manufacturing and hydrogen technologies, supported by federal and provincial investment. Ontario's automotive corridor is attracting battery cell and materials projects, while Québec and British Columbia have strong hydro-powered grids and clean technology clusters. Hydrogen research and fuel cell development are active in Alberta, Ontario and British Columbia. Engineers work on battery systems, charging infrastructure, power electronics and energy storage, with employers including automakers, cell manufacturers and utilities.
Fees for Canada: 695 CA$ (Canadian dollar), with instalments and employer sponsorship available.
Relevant bodies in Canada
Typical roles
Questions from Canada
What language are the programmes taught in?
All programmes are taught in English, which suits engineers working in English-language environments across Canada.
Will this qualification let me use the title Professional Engineer?
No. The title is regulated by provincial engineering regulators such as Professional Engineers Ontario or the Ordre des ingénieurs du Québec. Please check their requirements directly before assuming any eligibility.
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What you will be able to do
Describe the architecture of an autonomous electric vehicle.
Analyse sensor and perception technologies.
Apply localisation, planning and control techniques.
Interpret functional safety and SOTIF requirements.
Design scenario-based validation strategies.
Understand the regulatory framework for automated driving.
Assess the feasibility of an autonomous electric service.
Who it's for
- Autonomous driving engineers
- Perception and sensor fusion engineers
- ADAS validation engineers
- Functional safety specialists
- Autonomous fleet operators
- Mobile robotics engineers
- Engineering or science graduates looking to move into the automotive sector
What you'll work with
- SAE J3016 (taxonomy of driving automation levels)
- ISO 26262 (road vehicles: functional safety)
- ISO 21448 (safety of the intended functionality, SOTIF)
- Implementing Regulation (EU) 2022/1426 (type approval of automated driving systems)
- UN/ECE Regulation No. 157 (automated lane keeping systems)
- UN/ECE Regulation No. 155 (vehicle cybersecurity and cybersecurity management systems)
- ISO 34502 (scenario-based safety evaluation framework for automated driving)
- UL 4600 (safety for the evaluation of autonomous products)
- CARLA
- ROS 2
- Autoware
- MATLAB Automated Driving Toolbox
- NVIDIA DRIVE Sim
6 modules
1.1Levels of automation according to SAE J30161.2Functional architecture: perception, planning and control1.3Advantages of the electric platform for autonomy1.4Energy consumption of the driving hardware1.5Robotaxis and autonomous shuttles1.6Autonomous delivery vehicles1.7Operational design domain (ODD)1.8Current status of commercial deployments1.9Technical and social challenges1.10Case study: defining the ODD of an urban shuttle
2.1Cameras and computer vision2.2Millimetre-wave radar2.3Mechanical and solid-state lidar2.4Ultrasonic and short-range sensors2.5Sensor calibration2.6Multi-sensor data fusion2.7Object detection and tracking2.8Neural networks for perception2.9Adverse weather conditions2.10Lab: camera and lidar data fusion
3.1GNSS and inertial localisation3.2High-definition maps3.3SLAM and map-free localisation3.4Prediction of road user behaviour3.5Trajectory planning3.6Decision-making at intersections3.7Lateral and longitudinal control3.8Electric drive-by-wire actuators3.9Energy optimisation of driving3.10Practical exercise: trajectory planning in a simulator
4.1Functional safety according to ISO 262624.2Safety of the intended functionality (SOTIF)4.3Scenario-based validation4.4Simulation and digital twins4.5Track and public road testing4.6Safety case for autonomous systems4.7Connected vehicle cybersecurity4.8Event data recording4.9Risk management in operation4.10Workshop: catalogue of critical scenarios for validation
5.1Type approval of automated systems in the EU5.2UNECE regulation on lane keeping systems5.3Spanish framework for autonomous vehicle testing5.4Civil liability and insurance5.5V2X communications and C-ITS5.6Teleoperation and remote supervision5.7Automatic charging and autonomous fleet management5.8Social acceptance and the ethics of decisions5.9Personal data protection5.10Case study: public road testing of a robotaxi
6.1Definition of the autonomous service6.2ODD specification6.3Sensor and computing architecture6.4Safety analysis6.5Validation strategy6.6Operation, charging and fleet6.7Regulatory compliance of the service6.8Feasibility assessment6.9Report and presentation6.10Final project: final review with the tutor
How you'll learn
100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within the intake, so you can combine the programme with your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is CARLA, ROS 2, Autoware, MATLAB Automated Driving Toolbox and NVIDIA DRIVE Sim, in free, academic or evaluation versions. Testing is studied through real procedures: simulation of driving scenarios, definition of an operational design domain and planning of public road tests. Assessment is continuous by module, plus the final capstone project.
Standards covered: SAE J3016, ISO 26262, ISO 21448, Implementing Regulation (EU) 2022/1426, UN/ECE Regulation No. 157, UN/ECE Regulation No. 155, ISO 34502, UL 4600
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- No prior qualification is required.
- An internet connection and a computer capable of running the programme software.
- English sufficient to read technical standards.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 300 hours over 3 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with CARLA, ROS 2, Autoware, MATLAB Automated Driving Toolbox and NVIDIA DRIVE Sim, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.
A SEIUM Institute certificate, awarded on passing the continuous assessment and the final project. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.
Yes. Modules passed are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.
No prior qualification is required: you need an internet connection, a computer able to run the programme software and English sufficient to read technical standards.
Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.
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