Combines fundamental computing principles with artificial intelligence techniques and robotics fundamentals
Analyze complex problems in the fields of Artificial Intelligence and Robotics, and apply computing principles and related disciplines to identify effective solutions.
Design, implement, and evaluate sustainable AI- and robotics-based solutions that meet specific requirements within the scope of the program.
Communicate effectively in diverse professional contexts, particularly within AI and robotics development environments.
Recognize professional responsibilities and make informed decisions in AI and robotics practice based on legal and ethical principles.
Work effectively as a member or leader within a team engaged in AI- and robotics-related activities.
Apply computing principles, AI techniques, and robotics fundamentals to develop intelligent and autonomous systems.
UAE High School Certificate with 80% for Scientific Track or 90% for General Track, English proficiency (IELTS 5.0 or TOEFL 500 or EmSAT 1100), pass Mathematics and Sciences exam with 800 or higher
Category: University General Requirements – Compulsory (24 Credit Hours)
| Course Code | Course Title | Credit Hours | Prerequisite |
|---|---|---|---|
| 0102120 | Computer Skills | 3 | — |
| 0401120 | English Language I | 3 | — |
| 0401121 | English Language II | 3 | 0401120 |
| 0405100 | Arabic Language | 3 | — |
| 0406110 | Islamic Culture | 3 | — |
| 0409103 | UAE Studies | 3 | — |
| 0501170 | Fundamentals of Innovation and Entrepreneurship | 3 | — |
| 0508203 | Research Methodology | 3 | — |
Category: Society and Civilization – Elective (3 Credit Hours)
Contributions of Arabs and Muslims in Science and Literature – Introduction to Psychology – Physical Fitness and Health – Introduction to Early Childhood – Ethical Awareness – Environmental Awareness – Principles of Microeconomics.
Category: Administrative Skills – Elective (3 Credit Hours)
Law and Society – Thinking Skills – Self-Assessment – Introduction to Time Management – Leadership and Teamwork – Principles of Financial Accounting.
Category: Major Requirements – Compulsory (21 Credit Hours)
Introduction to Programming – Mathematics I – Linear Algebra – Probability and Statistics – Discrete Structures – Physics I – Engineering Statics and Dynamics.
Category: Major Requirements – Compulsory (48 Credit Hours)
Object-Oriented Programming – Introduction to Artificial Intelligence – Digital Logic and Design with Lab – Embedded Real-Time Systems with Lab – Fundamentals of Electrical Circuits and Electronics with Lab – Fundamentals of Robotics – Control Systems with Lab – Robotic Sensing – Robotics Systems Design with Lab – Fundamentals of Data Science – Machine Learning and Deep Learning with Lab – Natural Language Processing – AI Programming – Cloud Computing for AI.
Category: Major Electives (6 Credit Hours)
Intelligent Robotics – Statistical Machine Learning – Human-Robot Interaction – Robotic Vision – AI Ethics.
Category: Supporting Courses – Compulsory (12 Credit Hours)
Data Structures and Algorithms – Database Systems – Engineering Mathematics – Physics II.
Category: Training – Compulsory (3 Credit Hours)
Field Training.
Category: Graduation Project – Compulsory (3 Credit Hours)
Graduation Project I – Graduation Project II.
