The launch of the Master of Intelligent Systems program comes as an outcome of our belief in the inevitability of our universities to cope with the global advancements accompanying the fourth industrial revolution, manifested by the spread of artificial intelligence and its applications in all aspects of life and the economic, development, welfare and operational opportunities that this represents.

We believe that Intelligent Systems is a special field with different disciplines from which we call Tracks here. The program will start with two tracks, the "data science" path and the "Intelligent robot systems" path. The tracks share basic courses where the Artificial Intelligence and Machine Learning courses are the ultimate. Due to the rapid contact of artificial intelligence and Intelligent systems with people's lives, a course has been devoted to discussing the ethical, legal and societal aspects of these systems, which contributes to the graduation of informed and enlightened learners. Given that many smart systems and their algorithms simulate natural intelligence (human and biological), a special course has been designed that will give learners basic knowledge and sufficient sensitivity to distinguish between natural and artificial.

The data science course covers recent trends in big data topics, including its representation and analysis, and dealing with applications and tools for its analysis, in addition to data mining in order to retrieve information from textual data and data available on other media such as pictures and videos. The course also covers concepts and algorithms for displaying data, programming it and using its own applications and technologies, as well as processing natural languages ​​and programming its own algorithms, allowing natural language communication between man and machine. It is noteworthy that the course deals with data science from the perspective of artificial intelligence and machine learning as well as from a statistical perspective.

The "Intelligent Robotics Systems" track covers fixed industrial robots, mobile ground robots, and that plane. It explores the dynamics, design, and control issues, in addition to applying smart algorithms in human interaction with robots, and what enables these robots to move and work autonomously in natural and artificial environments. Finally, this path leads to being able to contribute to the development of cars to become self-driving.