Upon completion of the Master of Science in Artificial Intelligence program,

students will have achieved the following learning outcomes:
⦁ Demonstrate a comprehensive understanding of the theoretical foundations of Artificial Intelligence (AI).
⦁ Critically analyze, evaluate, and apply appropriate AI theories, models, and techniques in practical scenarios. This includes proficiency in logical inference, heuristic search, genetic algorithms, supervised and unsupervised machine learning, and Bayesian inference.
⦁ Effectively utilize software tools to develop AI models and applications, showcasing proficiency in implementing AI algorithms and techniques.
⦁ Employ evaluation criteria to measure the correctness and suitability of AI models, using evaluation metrics to assess their performance and effectiveness in real-world applications.
⦁ Analyze the complete lifecycle of an AI and machine learning system, considering the impact of data and computing resources at each stage.
⦁ Apply major theories and innovations in the field of artificial intelligence, machine learning, and data analysis to solve characteristic problems, demonstrating the ability to address complex challenges using state-of-the- art AI techniques

The course content for the Master of Science in Artificial Intelligence program will be delivered through a combination of online lectures, interactive discussions, and real-world case studies. Additionally, certain courses will incorporate practical hands-on training using virtual labs. The utilization of case studies allows for a comprehensive exploration of actual challenges encountered in the field of artificial intelligence, emphasizing the need for strategic problem-solving skills. The success of this approach is dependent on students' active engagement and preparedness for

class discussions.
Each course will have designated textbooks and relevant resources as the primary sources of information and references. Professors will also provide supplementary materials such as lecture notes and slides to enhance the learning experience. These additional resources will complement the prescribed textbooks and further support students in acquiring a comprehensive understanding of the subject matter.

For students who wish to pursue a master's degree in data science, a minimum of 36 credit hours must be completed. 

3 terms

After completion of the program, the graduate becomes eligible to work in several jobs, including:

- Machine Learning Engineer
- Artificial Intelligence Engineer
Business Intelligence Developer-
- Research Scientist
- Data Scientist
- Robot Scientist

Courses are in English, with explanations provided in Arabic.