Bachelor of Science in Robotics and Artificial Intelligence
The BSc in Robotics and Artificial Intelligence (AI) is an interdisciplinary undergraduate program designed to equip students with the knowledge and skills required to design, develop, and implement robotic systems and AI technologies. The program aims to prepare graduates for a wide range of careers and to supply the society with highly skilled, scientifically trained professionals in the field of Robotics and Artificial Intelligence, who can facilitate powering and driving the UAE’s knowledge-based economy. The degree consists of a comprehensive and diverse curriculum that provides the necessary knowledge, professional skills, and competencies needed for graduates in the field of Robotics. BSc in Robotics and AI provides a comprehensive education that combines theoretical knowledge with practical skills, preparing graduates to be at the forefront of technological innovation with robotics and autonomous systems.
Programs Educational Objectives
- Advance professionally and be recognized as leaders in their chosen areas within the broad field of Robotics.
- Apply their technical expertise to address the critical needs of society in a creative, ethical, and innovative manner.
- Further develop their knowledge and skills through graduate education or professional schools.
Program Learning Outcomes
Students graduating with a BSc in Robotics and AI degree will attain the following:
1. Apply principles of engineering, science, AI, robotics, and mathematics needed to solve real-world problems.
2. Analyze problems using engineering tools and produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.
3. Illustrate effectively in writing and orally to outline and present solutions and outcomes.
4. Assess ethical and professional responsibilities and make well-informed recommendations.
5. Apply effective teamwork skills to foster a collaborative environment for establishing objectives and formulating work plans in professional settings.
6. Create prototypes to meet desired needs within realistic constraints, by utilizing robotic and AI technologies while demonstrating a commitment to sustainability and fostering innovation and entrepreneurship.
7. Identify new knowledge to model novel robotic and AI applications, applying appropriate learning strategies.
Program Facilities
The Robotics and AI program laboratories include:
- Robot Navigation and Control Lab
- Robot Sensing and Perception Lab
- Robot Systems Lab
These Labs will be complemented by the following KU research laboratories:
- Aerial Robotics Lab
- Marine Robotics Pool with wave and stream generators and underwater tracking
- Grasping and Manipulation Lab
- Autonomous Car Lab with 2 km of road network
- UGV Robotics Lab
- Industrial Robotics Labs (Grasping and Manipulation Lab and ARIC Lab)
- Computer Vision Lab
The BSc in Robotics and AI students also have access to the laboratories in the other departments at KU.
Degree Requirements
To be recommended for graduation with a Robotics and Artificial Intelligence (AI) degree, students must successfully complete the courses in the specified categories as set out below. The categories cover the University General Education Requirements (GER, 48 credits), the Additional Math/Science Requirements (14 credits), as well as Computer Engineering Core (62 credits) and Technical Electives requirements (6 credits). The normal length of the program is 130 credits.
Robotics and Artificial Intelligence Core Requirements (62 Credits)
Robotics and Artificial Intelligence Technical Electives (6 Credits)
Additional Math/Sciences Requirements (14 Credits)
In addition to the GER courses, the BSc in Bachelor of Science (B.Sc.) in Robotics and Artificial Intelligence (AI) requires the following additional Math and Science courses:
| MATH 211 | Differential Equations and Linear Algebra | 4 |
| MATH 232 | Engineering Mathematics | 3 |
| PHYS 122 | University Physics II | 4 |
| MATH 242 | Introduction to Probability and Statistics | 3 |