MBA Master of Business Administration
The University of Sheffield offers an MBA program that provides a comprehensive underst...
Western Bank
INTAKE: September
The MSc Autonomous and Intelligent Systems program at The University of Sheffield is designed to provide students with advanced knowledge and skills in the rapidly evolving fields of artificial intelligence and robotics. This interdisciplinary program combines principles of computer science, engineering, and cognitive science to equip students with the expertise needed to develop intelligent autonomous systems.
Core Knowledge: Students gain a solid foundation in key areas such as machine learning, robotics, computer vision, and natural language processing. They learn about the theoretical and practical aspects of designing, developing, and deploying autonomous systems capable of perceiving, reasoning, and acting in complex environments.
Specialization Tracks: The program offers a range of specialization tracks, allowing students to tailor their studies to their specific interests and career goals. These tracks may include areas such as autonomous vehicles, robotics in healthcare, intelligent manufacturing, or smart cities. Students can choose the track that aligns with their passions and desired career path.
Practical Skills Development: Students engage in hands-on projects and practical assignments to develop their skills in programming, data analysis, algorithm development, and system integration. They have access to cutting-edge robotics labs and state-of-the-art equipment, allowing them to apply theoretical knowledge to real-world scenarios.
Industry Engagement: The University of Sheffield has strong industry connections, providing students with opportunities for industry collaborations, guest lectures, and industry-led projects. Students gain insights into the latest industry trends, technologies, and applications of autonomous and intelligent systems.
Research Opportunities: The program offers research opportunities, allowing students to work closely with faculty members on ongoing research projects. They can contribute to cutting-edge research in areas such as machine learning, computer vision, natural language processing, or human-robot interaction. These research experiences enhance their critical thinking, problem-solving, and innovation skills.
Western Bank
IELTS 6.5
£ 27500
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.
Postgraduate students may be eligible for the following scholarships:
Postgraduate Taught Merit Scholarship: This scholarship is available to UK, EU, and international students who have a conditional or unconditional offer to study a full-time or part-time postgraduate taught course at the University of Sheffield. The scholarship is worth 50% of the tuition fee for each year of study.
International Merit Postgraduate Taught Scholarship: This scholarship is available to international students who have a conditional or unconditional offer to study a full-time postgraduate taught course at the University of Sheffield. The scholarship is worth 50% of the tuition fee for each year of study.
Commonwealth Shared Scholarship Scheme: This scholarship is available to students from eligible developing Commonwealth countries who have a conditional or unconditional offer to study a full-time postgraduate taught course at the University of Sheffield. The scholarship covers the full tuition fee, airfare to and from the UK, and a monthly stipend.
Graduates of the MSc Autonomous and Intelligent Systems program from The University of Sheffield have excellent career prospects in various industries that rely on autonomous and intelligent systems.
Robotics Engineer: Graduates can work as robotics engineers, designing and developing autonomous systems for industries such as manufacturing, healthcare, agriculture, or defense. They may be involved in designing robot behaviors, integrating sensors and actuators, or programming intelligent algorithms.
AI Specialist: Graduates can pursue careers as AI specialists, working on projects involving machine learning, natural language processing, or computer vision. They can develop AI algorithms and models to solve complex problems, improve decision-making processes, or automate tasks in various domains.
Autonomous Vehicle Engineer: With the growing interest in autonomous vehicles, graduates can find opportunities in the automotive industry. They can contribute to the development of self-driving cars, drones, or other autonomous transportation systems, ensuring their safety, reliability, and performance.
Research Scientist: Graduates can pursue research careers, working in academic institutions or research organizations. They can contribute to advancing the field of autonomous and intelligent systems through groundbreaking research, publishing scientific papers, and participating in research projects.
Entrepreneurship: Some graduates may choose to start their own ventures, leveraging their knowledge and skills in autonomous and intelligent systems. They can develop innovative products, services, or applications that address specific industry needs or societal challenges.