MSc Finance
Cranfield University's MSc Finance program is designed to equip students with advan...
Cranfield
INTAKE: October
The MSc Autonomous Vehicle Dynamics and Control program at Cranfield University is a specialized course that delves into the dynamic and control aspects of autonomous vehicles.
Autonomous Vehicle Technology: Students gain a solid understanding of autonomous vehicle systems, including sensors, perception algorithms, and decision-making systems.
Control Systems: The program focuses on the principles of control systems and their application in autonomous vehicles.
Machine Learning and Artificial Intelligence: Students learn about machine learning and AI techniques used in autonomous vehicle control.
Navigation and Localization: The program covers navigation and localization techniques essential for autonomous vehicle operations.
Sensor Fusion: Students study sensor fusion methods to integrate data from multiple sensors for accurate perception.
Vehicle Dynamics and Kinematics: The program includes modules on vehicle dynamics and kinematics to ensure safe and efficient vehicle control.
Cranfield
IELTS 6.5
£ 31150
Postgraduate Entry Requirements:
Students must provide:
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions
Cranfield University offers a variety of scholarships and bursaries to help students fund their studies. These scholarships are open to both UK and international students and are awarded based on a variety of factors, such as academic merit, financial need, and professional experience.
It is important to note that eligibility criteria, application requirements, and award amounts vary for each scholarship and bursary.
Graduates of the MSc Autonomous Vehicle Dynamics and Control program have promising career prospects in the rapidly growing autonomous vehicle industry.
Autonomous Vehicle Engineer: Graduates can work as autonomous vehicle engineers, involved in the design, development, and testing of autonomous vehicle systems.
Control Systems Specialist: Graduates may pursue careers as specialists in control systems, focusing on autonomous vehicle control algorithms.
Sensor Fusion Engineer: Graduates can work on sensor fusion techniques, integrating data from various sensors to enhance perception.
Artificial Intelligence Engineer: Graduates with an interest in AI can explore opportunities in developing AI algorithms for autonomous vehicles.
Autonomous Vehicle Testing and Validation: Graduates may take up roles in testing and validating autonomous vehicle systems.
Autonomous Vehicle Research and Development: Graduates with a research interest can explore opportunities in autonomous vehicle R&D.