MBA Master of Business Administration
The MBA program at the University of Sheffield offers a comprehensive curriculum design...
Western Bank
INTAKE: September
The course covers all major aspects of control and systems engineering, focusing on system autonomy and intelligence. As students progress, they develop an extensive understanding of artificial intelligence, machine learning, autonomous agents, real-time intelligent systems, and intelligent control theory.
Curriculum: The curriculum encompasses core modules such as artificial intelligence, machine learning, autonomous agents, real-time intelligent systems, and intelligent control theory. Students gain hands-on experience working with various types of data, hardware, and software, with opportunities to build systems from scratch using the university's specialist labs. Optional modules allow students to collaborate with companies, addressing real-world industry challenges.
Research Focus: The program includes a research-level dissertation project, enabling students to explore areas they are passionate about and develop solutions to real-world problems in autonomous and intelligent systems. This research component fosters innovation and practical problem-solving skills.
Industry Engagement: Students have the opportunity to work on real opportunities and problems experienced by industry, providing practical experience and enhancing employability in the field of autonomous and intelligent systems.
Global Perspective: The University of Sheffield attracts a diverse cohort of students and faculty from around the world, fostering an international learning environment. This diversity enriches classroom discussions and collaborative projects, providing students with a global perspective on autonomous and intelligent systems challenges. Graduates are thus equipped to work effectively in multicultural teams and address issues in various cultural and regulatory contexts worldwide.
Western Bank
IELTS 6.5
£ 29700
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.