This one-year graduate certificate will equip students with automotive cybersecurity knowledge and skills to address vulnerabilities and security issues found in Electronic Control Units (ECUs) of Connected & Autonomous Vehicles (CAVs). Students will learn about strategies to protect automotive organizations against cybersecurity attacks on the Connected and Autonomous Vehicles (CAVs) eco-system. Graduates will develop highly marketable skills required in the cyber security field, especially with automotive firms.
While incidents of cyber-attacks in the automotive manufacturing sector have notably increased in recent years, many companies are working toward developing and implementing processes to identify and/or respond to security breaches. It has been determined that ISO/SAE 21434 will be the international industry standard used as the baseline for vehicle manufacturers and suppliers to ensure cybersecurity risks are managed. This will lead to an increased demand for cybersecurity specialists in the automotive manufacturing sector. Windsor-Essex has positioned itself to be able to lead the way in automotive, and manufacturing cybersecurity and to become a hub within the industry.
Graduates of this program may typically find employment in both the automotive cybersecurity field as well as the broader category of manufacturing and supply chain cybersecurity fields. Graduates may also find employment in the utilities and finance sectors.
Laddering opportunities into the Cybersecurity Program exist for graduates of Information Technology, Computer Systems Technology - Networking, Computer Systems Technician - Networking, Computer Science, Web Development and Internet Applications or Engineering Programs from a recognized College, or University or from those possessing a degree/diploma from a related field of study.
Graduates may be able to receive credit toward further education in related post-secondary diplomas, advanced diplomas, or degree programs.
Ontario College Diploma, Ontario College Advanced Diploma, Degree, or equivalent.
Successful applicants will have a background in Information Technology, Computer Systems Technology - Networking, Computer Systems Technician - Networking, Computer Programming, Web Development and Internet Applications, Mobile Applications Development or Engineering Programs.
International Students: See Admission Policies for details.
MINIMUM RECOMMENDED HARDWARE
- Intel I7 or AMD A10 processor or better with a chipset that must support virtualization
- 16 GB of RAM
- 1 TB hard drive
- Ethernet Network Card
- Wireless Network Card
- One USB 3.0 port (two preferred)
- 3 Yr comprehensive parts and labour (Recommended)
- Windows 10 Professional Edition
The curriculum below is for incoming students:
Program Vocational Learning Outcomes
Cybersecurity Analytics - Automobility (Ontario College Graduate Certificate) (MTCU Code 73002)
The successful completion of this program will enable the graduate to:
- Recommend innovative analytics strategies, processes, and procedures to protect automotive organizations against emerging cybersecurity attacks to the Connected and Autonomous Vehicles (CAVs) eco-system.
- Create and document processes required for the maintenance and deployment of information controls solutions.
- Devise and implement information security solutions in compliance with ethical guidelines, security policies, standards, and regulations.
- Apply project management tools and techniques to manage the communication and resources invested in responding to an enterprise information security issue.
- Evaluate the reliability of information security controls through security audits to identify and address risks.
- Develop and deliver internal cybersecurity training to increase awareness and compliance with security policies.
- Explain an organization’s information security protocols, policies and audit results by various mechanisms including presentations and written reports tailored to the intended audience.
- Communicate professionally and collaboratively with internal and external stakeholders in support of cybersecurity objectives.
- Apply analytics techniques to identify and resolve vulnerabilities and security issues found in Electronic Control Units (ECUs) of Connected and Autonomous Vehicles (CAVs).
- Secure Connected and Autonomous Vehicles (CAVs) through the implementation of secure communication channels such as Vehicle to Infrastructure (V2I), Vehicle to Vehicle (V2V), Vehicle to Cloud (V2C), Vehicle to Pedestrian (V2P), Vehicle to Device (V2D), Vehicle to Grid (V2G) and Vehicle to Everything (V2X).
- Design In-Vehicle Security Architecture to ensure that all Electronic Control Units (ECUs) inside the vehicle effectively operate in isolated segments.