MSc Robotics with Artificial Intelligence

Postgraduate Entry Requirements

Academic Qualifications: Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 60% or equivalent.

English language proficiency:

• IELTS: A minimum overall score of 6.5 or 7.0 with no individual component below 6.0.
• TOEFL: A minimum overall score of 72.
• PTE Academic: A minimum overall score of 59.
• Some postgraduate programs may have specific subject prerequisites or additional requirements.

London Metropolitan University offers a variety of scholarships and financial support options designed to assist international students with the cost of tuition fees and living expenses while studying in the UK. These scholarships aim to support talented students, regardless of their financial background, and encourage diversity in the university’s student body.

International Scholarship: London Metropolitan University provides an International Scholarship for non-UK students who are enrolled in full-time undergraduate or postgraduate programs. This scholarship is designed to help reduce the cost of tuition fees and make studying at the university more affordable. The scholarship amount varies depending on the program and student eligibility, typically covering a partial reduction of tuition fees. The scholarship is awarded based on academic merit, and students are assessed upon application for the program.

Postgraduate International Scholarships: International students applying for postgraduate courses at London Metropolitan University may be eligible for specific Postgraduate International Scholarships. These scholarships are aimed at high-achieving students and are available for a range of master’s degree programs. The scholarships provide a discount on tuition fees for international students and are typically awarded based on the applicant’s academic performance, relevant qualifications, and professional experience.

Regional Scholarships: To encourage students from diverse regions to study at London Metropolitan University, the university offers Regional Scholarships. These scholarships are designed to attract students from specific countries or regions, including Asia, Africa, and the Middle East. The scholarships are often based on merit and financial need and offer varying amounts of financial assistance to help cover the costs of tuition fees.

Alumni Scholarships: For international students who are graduates of partner institutions, the Alumni Scholarship offers financial support for those seeking to pursue postgraduate studies at London Metropolitan University. This scholarship is typically offered as a fee reduction for alumni who wish to continue their education at the university. The goal of this scholarship is to foster long-term relationships between the university and its international partners while providing continued academic opportunities for its alumni.

External Scholarships and Financial Aid: In addition to university-specific scholarships, international students can explore external scholarships offered by organizations, government bodies, and foundations. Some notable external scholarships include those offered by the British Council, Chevening Scholarships, and Commonwealth Scholarships, which provide significant funding to international students pursuing higher education in the UK. London Metropolitan University encourages its international students to apply for these prestigious scholarships in addition to institutional funding opportunities.

The MSc Robotics with Artificial Intelligence (AI) program at London Metropolitan University is designed to provide students with an advanced understanding of robotics and AI technologies, preparing them for cutting-edge careers in these rapidly evolving fields. The program integrates both robotics and artificial intelligence, offering students the opportunity to develop expertise in designing, programming, and deploying robotic systems with intelligent behavior. The combination of these two dynamic disciplines ensures that graduates are equipped with the technical and analytical skills required to meet the growing demand for professionals in robotics and AI across industries.

Robotics Engineer: Graduates of the MSc Robotics with AI program can pursue careers as Robotics Engineers, specializing in the design, development, and implementation of robotic systems. These engineers work across various industries, including manufacturing, healthcare, aerospace, and defense, developing robots that perform tasks autonomously or with minimal human intervention. Robotics Engineers work with both hardware and software, ensuring that robots are efficient, effective, and capable of performing complex tasks. They may work on building industrial robots, medical robots, or autonomous vehicles.

AI Engineer: As an AI Engineer, graduates design and implement artificial intelligence systems that enable machines to simulate human-like behavior and decision-making processes. They work on developing AI models, algorithms, and neural networks that can be applied in areas such as natural language processing, machine learning, computer vision, and autonomous robotics. AI Engineers are in high demand across industries such as technology, finance, healthcare, and automotive, where AI applications are transforming products and services.

Automation Engineer: Automation Engineers design and develop automated systems that reduce the need for human intervention in various processes. In the context of robotics and AI, automation engineers work on integrating robotic systems with AI algorithms to create intelligent automation solutions. These engineers are employed in industries such as manufacturing, logistics, and supply chain management, where robots are used to automate repetitive tasks and increase operational efficiency.

Robotic Process Automation (RPA) Developer: RPA Developers focus on the automation of business processes through the use of software robots or "bots." These developers create and implement AI-driven automation solutions that help businesses streamline workflows, reduce costs, and improve efficiency. With the rise of AI in business, RPA developers are highly sought after for their expertise in integrating robotic and AI technologies into organizational systems.

Machine Learning Engineer: Graduates can pursue careers as Machine Learning Engineers, focusing on the development and deployment of machine learning algorithms and models. In this role, professionals work to ensure that machines can learn from data, make predictions, and improve over time without human intervention. Machine learning engineers work on projects that require intelligent decision-making, such as self-driving cars, voice assistants, and recommendation systems. Their work is essential in industries like tech, healthcare, finance, and automotive.

Data Scientist (Robotics and AI Focus): Data Scientists in the field of robotics and AI analyze large sets of data generated by robotic systems, AI algorithms, and autonomous vehicles to improve the performance of these technologies. They use statistical methods, machine learning, and data analytics to extract insights and optimize the behavior of robotic and AI systems. Data scientists with expertise in robotics and AI are employed in sectors such as healthcare, finance, logistics, and transportation to improve decision-making processes and enhance system efficiency.

Robotics Researcher: For those interested in academia or research institutions, the role of a Robotics Researcher is an excellent option. These professionals focus on advancing the theoretical and practical aspects of robotics and AI by conducting research on topics like robot perception, human-robot interaction, machine learning, and AI algorithms. Robotics researchers often work in university settings, research labs, or private companies focusing on developing new robotic technologies and AI applications.

Autonomous Vehicle Engineer: Graduates specializing in robotics and AI can pursue careers in the rapidly growing field of autonomous vehicles. As an Autonomous Vehicle Engineer, graduates design, develop, and implement robotic systems and AI algorithms that enable vehicles to navigate autonomously without human control. This role involves working on various components of autonomous vehicles, including sensors, perception systems, control algorithms, and vehicle dynamics. Autonomous vehicle engineers are in high demand in the automotive industry as companies like Tesla, Waymo, and Uber advance their self-driving technologies.

AI Systems Architect: As an AI Systems Architect, graduates are responsible for designing the architecture of complex AI and robotics systems. They focus on integrating various AI models, algorithms, sensors, and robotics components into a coherent and efficient system. AI systems architects often work in industries such as manufacturing, healthcare, robotics, and autonomous systems, creating scalable and robust solutions that meet both the technical and functional needs of organizations.

Robotics Software Developer: Robotics Software Developers create the software that controls robotic systems and integrates them with AI technologies. They develop software applications that allow robots to perform tasks autonomously, interact with humans, and adapt to changing environments. This role is crucial in industries such as industrial automation, healthcare robotics, and consumer robotics. Developers in this field need to have a strong understanding of robotics programming, AI algorithms, and real-time systems.

Human-Robot Interaction Specialist: As a Human-Robot Interaction (HRI) Specialist, graduates work on improving the way humans interact with robots. This role focuses on designing and developing intuitive interfaces and systems that enable smooth communication between robots and people. HRI specialists ensure that robots can understand and respond to human commands, emotions, and actions in a natural and effective way. This career is important in the development of robots used in healthcare, customer service, and collaborative industrial settings.

Robotics Consultant: For those with a deep knowledge of robotics and AI, the role of a Robotics Consultant can be a rewarding option. Consultants advise companies on how to integrate robotics and AI technologies into their operations. They assess the company’s needs, provide strategic recommendations, and help implement robotic solutions that improve efficiency, safety, and productivity. Consultants can work in various sectors, including manufacturing, logistics, healthcare, and research and development.

Robotics Trainer or Educator: Graduates can also pursue careers as Robotics Trainers or Educators, teaching the next generation of robotics and AI professionals. They can work in academic settings, technical training institutes, or as independent trainers, sharing their expertise in robotics, AI, and automation with students or professionals looking to upskill in these fields.