MSc Finance
The MSc Finance course at the University of Plymouth in the UK offers a comprehensive a...
Plymouth
INTAKE: Jan & Sept
The MSc Autonomous Systems program at the University of Plymouth covers a wide range of topics related to autonomous systems and their applications.
Fundamentals of Autonomous Systems: The program begins with an exploration of the fundamental principles of autonomous systems. Students learn about the underlying technologies, including artificial intelligence, machine learning, computer vision, sensor fusion, and control systems. They develop a solid understanding of the components and architectures of autonomous systems.
Sensors and Perception: Students delve into the world of sensors and perception systems used in autonomous systems. They study different types of sensors, such as LiDAR, radar, cameras, and inertial measurement units (IMUs). They learn how to process and interpret sensor data to extract meaningful information, enabling autonomous systems to make informed decisions and navigate their environment.
Control and Navigation: The program covers the principles of control and navigation systems for autonomous vehicles and robots. Students gain knowledge of control theory, trajectory planning, path following, and obstacle avoidance techniques. They learn how to design and implement control algorithms to ensure the safe and efficient operation of autonomous systems.
Artificial Intelligence and Machine Learning: The program explores the role of artificial intelligence and machine learning in autonomous systems. Students learn about algorithms for perception, decision-making, and learning from data. They study techniques such as reinforcement learning, deep learning, and probabilistic modeling to enable autonomous systems to adapt and improve their performance over time.
Autonomous Vehicle Systems: The program focuses on the specific challenges and considerations related to autonomous vehicles, including autonomous cars and unmanned aerial vehicles (UAVs). Students learn about the unique requirements for navigation, localization, communication, and safety in autonomous vehicle systems. They explore the current trends and technologies shaping the autonomous vehicle industry.
Applications of Autonomous Systems: The program examines the various domains and industries where autonomous systems are making significant impacts. Students explore applications in fields such as agriculture, logistics, healthcare, environmental monitoring, and surveillance. They gain insights into the challenges and opportunities of deploying autonomous systems in real-world scenarios.
Practical Skills and Project Work: The program places a strong emphasis on practical skills development. Students have access to state-of-the-art laboratories and facilities to gain hands-on experience with autonomous systems. They work on individual and group projects, applying their knowledge to solve real-world problems. These projects provide an opportunity to showcase their skills and creativity in designing and implementing autonomous systems.
Plymouth
IELTS 6.5
£ 16700
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.
The University of Plymouth offers various scholarships and financial support options to help students fund their studies.
Graduates of the MSc Autonomous Systems program from the University of Plymouth have excellent career prospects in the field of autonomous systems and related industries.
Autonomous Systems Engineer: Graduates can work as autonomous systems engineers, designing, developing, and testing autonomous vehicles and robotic systems. They can be involved in all stages of the development process, from system design and integration to testing and deployment.
Robotics Engineer: Graduates can pursue careers as robotics engineers, focusing on the design and development of robotic systems. They can work on projects involving humanoid robots, industrial robots, or specialized robots for specific applications.
Autonomous Vehicle Engineer: Graduates can join companies working on autonomous vehicle technologies, contributing to the development of self-driving cars and other autonomous transportation systems. They can work on areas such as perception, control, navigation, and safety systems for autonomous vehicles.
Research and Development: Graduates can pursue research and development roles in academia, research institutions, or industrial research labs. They can contribute to advancing the field of autonomous systems through innovative research, exploring new algorithms, sensors, and applications.
Drone Technology Specialist: With the increasing popularity of drones, graduates can specialize in drone technology and work in industries such as aerial photography, surveying, mapping, agriculture, and inspection services.
Consulting and Advisory Services: Graduates can provide consulting and advisory services to industries seeking to adopt autonomous systems. They can help organizations navigate the complexities of integrating autonomous systems into their operations and ensure compliance with regulations and safety standards.
Start-up Entrepreneurship: Graduates with an entrepreneurial spirit can start their own companies focused on developing autonomous systems or providing services related to autonomous technology. They can explore opportunities in areas such as drone services, autonomous delivery systems, or specialized robotic solutions.