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The applied version of the Master of Science in Artificial Intelligence (MSAI) program is designed to provide students with a comprehensive framework for artificial intelligence. Its goal is to cultivate exceptional leaders in the AI industry who can create and deploy cutting-edge intelligent systems that enhance human capabilities. Students will engage in an extensive core curriculum intended to develop a strong foundation in core concepts that underpin artificial intelligence theory and practice. The program’s curriculum will help students develop a deep understanding and acquire knowledge in state-of-the-art topics in artificial intelligence, including machine learning, deep learning, robotics, fuzzy-based methods, and data science. They will also learn how to apply these techniques across various fields. Additionally, the curriculum includes a project component that allows students to apply the core course materials to a practical project in a real-world environment. Throughout the program, students remain engaged in practical learning experiences that provide opportunities to apply learning from the program to real-world settings as part of a continuous internship experience.
About The Programme
The Master of Science in Artificial Intelligence encourages students to achieve the following educational outcomes:
Develop a comprehensive understanding of artificial intelligence theory, algorithms, and applications and analyze current AI-based opportunities and challenges.
Analyze the latest AI techniques including machine learning, deep learning, robotics, fuzzy logic, and data science, and apply them in providing solutions in different environments.
Identify, analyze, and solve complex AI-related problems, fostering innovation in the field and contributing to practical solutions.
Research and evaluate Artificial Intelligence techniques to address complex real-world problems through innovative solutions.
Prepare and communicate AI concepts, findings, and solutions to diverse audiences, including professionals, stakeholders, and the general public, demonstrating their proficiency in conveying complex ideas in a clear and accessible manner.
Demonstrate a commitment to ethical and responsible AI practices, emphasizing the importance of ethical considerations in the development and deployment of AI technologies.
Course Details
Core Courses - 33 Credits
- MSAI 500 Fundamentals of Artificial Intelligence (3 credits)
- MIS 505 Advanced Mathematical Methods for AI (3 credits)
- MSAI 506 Machine Learning (3 credits)
- MSAI 510 Introduction to Data Science (3 credits)
- MSAI 530 Advanced AI Programming and Frameworks (3 credits)
- MSAI 540 Fuzzy Logic Systems (3 credits)
- MSAI 550 Linear Systems Theory (3 credits)
- MSAI 560 Natural Language Processing (3 credits)
- MSAI 565 Information Retrieval (3 credits)
- MSAI 570 Big Data Analytics (3 credits)
- MSAI 575 Data Mining (3 credits)
Practical Learning Internship Courses - 6 Credit Hours
- INT 601 MS Graduate Internship I (1 credits)
- INT 602 MS Graduate Internship II (1 credits)
- INT 603 MS Graduate Internship III (1 credits)
- INT 604 MS Graduate Internship IV (1 credits)
- INT 605 MS Graduate Internship V (1 credits)
- INT 606 MS Graduate Internship VI (1 credits)
Capstone Course - 3 Credit Hours
- MSAI 690 - AI Capstone - 3 credit hours
TOTAL CREDITS - 36
Programme Highlights
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