Robotics and Autonomous Systems

Robotics and Autonomous Systems at the University of Sussex is a cutting-edge interdisciplinary programme designed to equip students with the knowledge and skills necessary to develop and deploy intelligent, autonomous technologies across a variety of sectors. Through a comprehensive curriculum that combines principles of computer science, engineering, and artificial intelligence, students will explore the fundamental concepts underpinning robotics, including sensors, control systems, machine learning, and software development. The programme emphasizes practical hands-on experience, featuring laboratory work, robotics projects, and opportunities to work with real-world autonomous systems. Students will learn to design, program, and test robots and autonomous platforms, preparing them for careers in robotics manufacturing, autonomous vehicle development, smart automation, and more. The course also covers emerging topics such as human-robot interaction, ethical considerations in autonomous systems, and the impact of robotics on society and industry. Taught by experienced researchers and industry specialists, the programme aims to foster innovation, problem-solving, and critical thinking skills. Students will have access to state-of-the-art facilities and collaborative projects that provide valuable industry exposure. Graduates of the programme will be equipped to contribute effectively to the rapidly evolving field of robotics and autonomous systems, pursuing careers in research, industry, or entrepreneurship. With a strong foundation in both theoretical concepts and practical applications, this programme prepares students for the technical challenges and opportunities of a future where autonomous systems become integral to daily life and industrial processes.

Core modules

• Build Test Projects
• Control Engineering
• Embedded Systems and Sensors
• Industrial Automation Mechatronics
• Layperson Perspective of the Course
• Mechanics of Mechanisms and Robots
• MSc Project (Robotics and Autonomous Systems)
• Programming for Engineers
• Prototyping: Theory and Practice
• Reawakening Mathematics
• Robot Design and Implementation
• Strategic Management - Engineering module

Requirements

• Magistr or Specialist Diploma with a minimum average mark of at least 4
• This course is designed for non-engineering graduates. It is suitable for students with a first- or second-class undergraduate honours degree in subjects including and related to mathematics, physics, biology, chemistry, agricultural engineering, and those subjects where graduates have developed logical analytical skills which may include, for example, economics, experimental psychology, and physical geography. 
• Applicants will also be interviewed as part of the selection process.
• IELTS 6.5, with not less than 6.0 in each section.
• Reference
• Transcript
• A personal statement
• The application fee is £13 if you’re applying to just one course

Financing studies for the Robotics and Autonomous Systems program at the University of Sussex typically involve a combination of tuition fees, scholarships, grants, and financial aid options available to both domestic and international students. The tuition fees vary depending on the student's domicile status; for home students, the fees are generally aligned with government-regulated limits, while international students are subject to different rates. Students are encouraged to consult the university’s official website for the most current fee information, as these are subject to annual updates.

The university offers a range of scholarships specifically aimed at supporting students enrolled in science and engineering disciplines, including the Robotics and Autonomous Systems program. These scholarships may cover partial or full tuition fees and are awarded based on academic merit, financial need, or a combination of both. Examples include the Sussex Excellence Scholarships and departmental-specific awards, which applicants can apply for as part of their admission process. Additionally, students may seek external funding sources such as government student loans, private bursaries, or research grants, depending on their home country and eligibility.

International students are encouraged to explore additional funding options such as the Chevening Scholarships, Commonwealth Scholarships, and other country-specific sponsorship programs, which can significantly offset living and tuition costs. The university also provides advice and support services to assist students in sourcing scholarships and financial aid opportunities, helping ensure they can focus on their academic pursuits without undue financial stress.

Furthermore, students enrolled in the program may have opportunities to work part-time on campus, subject to visa restrictions, which can contribute to their overall financial support. The university’s career services offer guidance on suitable part-time roles.

Overall, the university emphasizes fostering an inclusive academic environment by providing diverse financial support options to accommodate students from various backgrounds. It is advisable for prospective students to review the latest details on the university’s official financial aid webpage and contact the admissions office for personalized assistance.

The MSc in Robotics and Autonomous Systems at the University of Sussex is a comprehensive postgraduate program designed to equip students with the essential knowledge and practical skills needed to thrive in the rapidly evolving field of robotics and autonomous technology. The course curriculum covers a wide range of topics, including robot design, control systems, navigation, perception, machine learning, and artificial intelligence, providing a well-rounded education that combines theoretical foundations with hands-on experience. Students benefit from state-of-the-art laboratory facilities and access to cutting-edge research projects, enabling them to work on real-world challenges faced by industries such as manufacturing, healthcare, transportation, and autonomous vehicles. The program emphasizes interdisciplinary learning, encouraging collaboration across engineering, computer science, and cognitive sciences to foster innovative solutions.

Throughout the course, students develop critical skills in programming, simulation, sensor integration, and systems optimization. They have opportunities to undertake individual and team projects, often partnering with industry to gain practical insights and professional experience. The teaching staff at Sussex comprises leading researchers and practitioners in robotics, contributing to a vibrant academic environment that promotes inquiry and innovation. The program also prepares students for careers in research and development, technical consultancy, or management roles within robotics companies and technology startups. Graduates leave equipped with the technical knowledge, problem-solving abilities, and professional competencies necessary to lead advancements in autonomous systems and robotic technologies.

The program typically lasts one year full-time and may offer part-time options to accommodate working professionals. Entry requirements include a relevant undergraduate degree in engineering, computer science, or related disciplines, along with a strong interest in robotics. The University of Sussex’s location and network provide excellent opportunities for internships, collaborative projects, and industry engagement, ensuring students are well-positioned to enter the competitive field of robotics for various applications and sectors. Overall, the MSc in Robotics and Autonomous Systems at Sussex is ideal for students passionate about developing intelligent machines that can operate independently in complex environments, shaping the future of automation and advancing technological capabilities worldwide.