Leading to a Master of Science  Degree in Artificial Intelligence

The Master of Science in Artificial Intelligence (MSAI) program provides advanced education in the theories, algorithms, and computational methods that underpin intelligent systems. Students gain expertise in core areas such as machine learning, natural language processing, computer vision, and large language models, while also exploring emerging topics in prompt engineering, agentic AI systems, and explainable AI. The curriculum emphasizes both the theoretical foundations and hands-on application of AI technologies to real-world challenges across domains. Through project-based learning, research preparation, and flexible elective options, students develop the technical depth and problem-solving skills needed for careers in AI engineering, data science, and applied research, as well as the scholarly foundation for doctoral study. 

Program Educational Objectives

• Apply advanced AI techniques to solve complex real-world problems.
• Demonstrate ethical, innovative, and collaborative practices in AI-driven problem solving.
• Pursue lifelong learning, research, and professional growth in emerging AI technologies.

Student Outcomes

• Demonstrate mastery of the theoretical and algorithmic foundations of artificial intelligence, including learning, reasoning, and perception.
• Implement intelligent systems that leverage modern AI techniques such as machine learning, natural language processing, and Large Language Models.
• Evaluate AI models for accuracy, scalability, interpretability, and performance in applied contexts.
• Communicate technical findings or research outcomes effectively to both professional and academic audiences.

Total: 30 credits. The program consists of 4 Core courses and 6 Electives.

Core Courses: 

Electives: