MSc Accounting & Business Finance
The MSc Accounting & Business Finance program at the University of Bedfordshire com...
BSc (Hons) Artificial Intelligence and Robotics
University Square Campus, Luton
INTAKE: Jan & Sept
Program Overview
The BSc (Hons) Artificial Intelligence and Robotics program at the University of Bedfordshire, UK, offers students a comprehensive education in cutting-edge technologies, focusing on the development and application of artificial intelligence (AI) and robotics systems. This interdisciplinary program combines elements of computer science, engineering, mathematics, and cognitive science to equip students with the knowledge and skills needed to design, implement, and manage intelligent systems and robotic devices. Students explore topics such as machine learning, computer vision, natural language processing, human-robot interaction, and autonomous systems, gaining insight into the theory and practice of AI and robotics.
Curriculum: The curriculum of the BSc (Hons) Artificial Intelligence and Robotics program covers a wide range of subjects relevant to AI and robotics, including core modules in programming, algorithms, data structures, and software engineering. Students study advanced topics in AI, such as neural networks, deep learning, reinforcement learning, and evolutionary algorithms, as well as robotics concepts such as kinematics, dynamics, control systems, and sensor integration. The program includes hands-on projects, laboratory exercises, and practical workshops to reinforce theoretical concepts and develop students' technical proficiency in AI and robotics technologies.
Research Focus: Research is a key component of the BSc (Hons) Artificial Intelligence and Robotics program, allowing students to explore emerging trends and advancements in AI and robotics research. Students have the opportunity to conduct research projects in collaboration with faculty members or independently, investigating topics such as autonomous navigation, robotic manipulation, swarm robotics, multi-agent systems, or AI ethics and policy. Research projects enable students to apply theoretical knowledge to real-world problems, develop innovative solutions, and contribute to the advancement of AI and robotics technologies.
Industry Engagement: The University of Bedfordshire emphasizes industry engagement in the BSc (Hons) Artificial Intelligence and Robotics program, providing students with opportunities to gain practical experience and professional skills valued by employers in the technology sector. Students may participate in industry placements, internships, or collaborative projects with technology companies, research institutions, or robotics startups. They have the opportunity to work on real-world AI and robotics projects, interact with industry professionals, and gain insights into industry practices, trends, and technologies. Industry engagement activities help students develop teamwork, communication, and problem-solving skills essential for success in the AI and robotics industry.
Global Perspective: The BSc (Hons) Artificial Intelligence and Robotics program offers students a global perspective on AI and robotics technologies, addressing global challenges and exploring international trends in AI research, development, and deployment. Students learn about international collaborations in AI research, global initiatives in robotics innovation, and cross-cultural considerations in human-robot interaction. They may have the opportunity to study abroad, participate in international robotics competitions, or engage with multicultural communities through collaborative research projects. The program encourages students to consider the global impact of AI and robotics technologies and to develop cultural awareness and adaptability in working with diverse teams and stakeholders.
Location
University Square Campus, Luton
Score
IELTS 6
Tuition Fee
£ 15500
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 60% or equivalent in their respective country's grading system.
English language proficiency:
- IELTS: A minimum overall score of 6.0 or 6.5 with no individual component below 5.5.
- TOEFL: A minimum overall score of 72, with at least 17 in Listening, Reading, Speaking, and Writing.
- PTE Academic: A minimum overall score of 72 with no individual score below 59.
- Some programs may have specific subject prerequisites or additional requirements.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
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 Bedfordshire offers various scholarships and financial aid options to support students in their academic journey. These scholarships are designed to recognize excellence, support underrepresented groups, and provide financial assistance to deserving students.
Vice Chancellor's Scholarships: These scholarships are available to both undergraduate and postgraduate students and offer a reduction in tuition fees. The scholarships are awarded based on academic achievement, leadership potential, and contribution to the community.
Bedfordshire Education Excellence Scholarship: This scholarship is aimed at supporting high-achieving students from the local region. It provides a fee reduction for eligible undergraduate students who have achieved outstanding academic results.
Sports Scholarships: The university offers sports scholarships to talented athletes who have demonstrated exceptional performance in their respective sports. These scholarships provide financial support, coaching, access to sports facilities, and other benefits to help athletes balance their studies and sports commitments.
International Scholarships: The university provides scholarships specifically for international students. These scholarships are awarded based on academic merit and can help offset tuition fees for eligible international students.
External Scholarships: In addition to the university-specific scholarships, students can also explore external scholarship opportunities offered by government organizations, charities, and other funding bodies. The university's scholarship office can provide guidance and support in finding external scholarship opportunities.
The University of Bedfordshire provide a range of scholarships to help students achieve their academic goals and make their university experience more accessible and affordable.
Graduates of the BSc (Hons) Artificial Intelligence and Robotics program from the University of Bedfordshire, UK, possess a unique skill set and are well-equipped to pursue various career opportunities in the rapidly growing fields of artificial intelligence (AI) and robotics.
AI Engineer: Graduates can work as AI engineers, designing and developing intelligent systems and algorithms for various applications, such as natural language processing, computer vision, and machine learning. AI engineers collaborate with interdisciplinary teams to conceptualize, implement, and optimize AI solutions for diverse industries, including healthcare, finance, transportation, and manufacturing.
Robotics Engineer: Those with expertise in robotics can pursue careers as robotics engineers, designing and building robotic systems for automation, exploration, and manipulation tasks. Robotics engineers develop hardware components, sensor systems, and control algorithms for robots used in industries such as manufacturing, logistics, agriculture, and space exploration.
Machine Learning Specialist: Graduates may work as machine learning specialists, leveraging their knowledge of statistical modeling, data analysis, and optimization techniques to develop machine learning models and predictive analytics solutions. Machine learning specialists apply algorithms such as neural networks, decision trees, and support vector machines to extract insights from data and make automated decisions in various domains.
Computer Vision Engineer: Those interested in computer vision can pursue careers as computer vision engineers, developing algorithms and systems for image and video analysis, object detection, and pattern recognition. Computer vision engineers work on applications such as autonomous vehicles, surveillance systems, medical imaging, and augmented reality, enhancing the capabilities of machines to interpret visual data.
Robotics Software Developer: Graduates may work as robotics software developers, specializing in the design and implementation of software systems for robot control, perception, and navigation. Robotics software developers write code in programming languages such as C++, Python, and ROS (Robot Operating System), integrating sensors, actuators, and algorithms to enable robots to interact with their environment autonomously.
AI Research Scientist: Those interested in research can pursue careers as AI research scientists, conducting fundamental and applied research in artificial intelligence, robotics, and related fields. AI research scientists explore novel algorithms, architectures, and methodologies to advance the state-of-the-art in AI and robotics, publishing findings in academic journals and conferences and contributing to scientific advancements and technological innovations.
Autonomous Vehicle Engineer: Graduates may work as autonomous vehicle engineers, developing software and algorithms for self-driving cars, drones, and other autonomous vehicles. Autonomous vehicle engineers design perception systems, decision-making algorithms, and control strategies to enable vehicles to navigate safely and efficiently in complex environments, contributing to the future of transportation and mobility.
AI Ethics and Policy Analyst: Those interested in ethics and policy can pursue careers as AI ethics and policy analysts, examining the social, ethical, and legal implications of AI and robotics technologies. AI ethics and policy analysts assess risks, develop guidelines and regulations, and advocate for responsible AI deployment, addressing concerns related to privacy, bias, accountability, and societal impact.
