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The MSc in Applied Artificial Intelligence (AAI) at Alfaisal University offers a comprehensive, four-semester graduate program that prepares students to pioneer advancements in AI. The curriculum provides a robust foundation in the core disciplines of AI, with an emphasis on both theoretical and practical knowledge. By combining theory with hands-on practice, the program facilitates active learning through collaborative projects that reflect real-world challenges.
The program is uniquely designed to cater to students from diverse academic backgrounds, enabling those with degrees in computing disciplines, healthcare, business, or other related fields to leverage their prior knowledge within one of four specialized tracks: Applied Artificial Intelligence, Intelligent Robotic Systems, Artificial Intelligence in Healthcare, and Business Intelligence. This approach ensures that graduates develop a profound understanding of AI as it applies specifically to their area of expertise. Credit Hours Required for MSc in Applied Artificial Intelligence |
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Courses Option |
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Type of Courses |
Compulsory |
Elective |
Total |
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Core |
12 |
- |
12 |
|
Elective |
- |
18 |
18 |
|
Project |
12 |
- |
12 |
|
Total |
24 |
18 |
42 |
|
Summary |
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Courses |
Credit Hours |
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Core and elective courses |
30 |
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Project I |
6 |
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Project II |
6 |
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Total credit hours required |
42 |
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Credit Hours Required for a Master of Applied Artificial Intelligence
Core Courses (4 Courses, 12 Credit Hours)
|
Course Code |
Course Name |
Cr |
Prerequisite |
|
MAI 551 |
Machine Learning |
3 |
|
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MAI 552 |
Probability and Statistics for AI |
3 |
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MAI 553 |
Trustworthy and Ethical AI Systems |
3 |
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|
MAI 554 |
Deep Learning |
3 |
MAI 551 |
2.6.7 Elective Courses for the Project option (divided by tracks)
Choose 6 courses from below(18 Credit Hours)
Track #1: Applied Artificial Intelligence:
|
Course Code |
Course Name |
Cr |
Prerequisite |
|
MAI 555 |
Computer Vision and Pattern Recognition |
3 |
MAI 554 |
|
MAI 556 |
Generative AI |
3 |
MAI 554 |
|
MAI 561 |
Advanced Artificial Intelligence |
3 |
|
|
MAI 562 |
Human-Centered AI |
3 |
MAI 551 |
|
MAI 563 |
Artificial Intelligence: Principles and Techniques |
3 |
|
|
MAI 564 |
Systems and Tool Chains for AI |
3 |
|
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MAI 565 |
Software Testing and Quality Assurance in AI Systems |
3 |
MAI 561 |
|
MAI 566 |
Principles and Engineering Applications of AI |
3 |
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MAI 567 |
AI in Cybersecurity |
3 |
|
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MAI 568 |
Natural Language Processing and Large Language Models |
3 |
MAI 554 |
|
MAI 569 |
Information Theory in AI Systems |
3 |
MAI 554 |
|
MAI 570 |
Speech Recognition and Understanding |
3 |
MAI 552 |
|
MAI 571 |
AI in Robotics |
3 |
MAI 563 |
|
MAI 572 |
AI-Driven Data Science Techniques |
3 |
MAI 563 |
Track #2: Intelligent Robotic Systems:
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Course Code |
Course Name |
Cr |
Prerequisite |
|
MAI 555 |
Computer Vision and Pattern Recognition |
3 |
MAI 554 |
|
MAI 561 |
Advanced Artificial Intelligence |
3 |
|
|
MAI 562 |
Human-Centered AI |
3 |
MAI 551 |
|
MAI 563 |
Artificial Intelligence: Principles and Techniques |
3 |
|
|
MAI 564 |
Systems and Tool Chains for AI |
3 |
|
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MAI 566 |
Principles and Engineering Applications of AI |
3 |
|
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MAI 570 |
Speech Recognition and Understanding |
3 |
MAI 552 |
|
MAI 571 |
AI in Robotics |
3 |
MAI 563 |
|
MAI 573 |
Embedded Systems for Robotics |
3 |
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MAI 574 |
Autonomous Robots |
3 |
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Track #3: Artificial Intelligence in Healthcare:
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Course Code |
Course Name |
Cr |
Prerequisite |
|
MAI 555 |
Computer Vision and Pattern Recognition |
3 |
MAI 554 |
|
MAI 556 |
Generative AI |
3 |
MAI 554 |
|
MAI 561 |
Advanced Artificial Intelligence |
3 |
|
|
MAI 563 |
Artificial Intelligence: Principles and Techniques |
3 |
|
|
MAI 564 |
Systems and Tool Chains for AI |
3 |
|
|
MAI 568 |
Natural Language Processing and Large Language Models |
3 |
MAI 554 |
|
MAI 570 |
Speech Recognition and Understanding |
3 |
MAI 552 |
|
MAI 572 |
AI-Driven Data Science Techniques |
3 |
MAI 563 |
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MAI 575 |
Health Informatics |
3 |
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MAI 576 |
Clinical Decision Support Systems |
3 |
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Track #4: Business Intelligence:
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Course Code |
Course Name |
Cr |
Prerequisite |
|
MAI 555 |
Computer Vision and Pattern Recognition |
3 |
MAI 554 |
|
MAI 556 |
Generative AI |
3 |
MAI 554 |
|
MAI 563 |
Artificial Intelligence: Principles and Techniques |
3 |
|
|
MAI 564 |
Systems and Tool Chains for AI |
3 |
|
|
MAI 568 |
Natural Language Processing and Large Language Models |
3 |
MAI 554 |
|
MAI 572 |
AI-Driven Data Science Techniques |
3 |
MAI 563 |
|
MAI 577 |
Data Management and Big Data Technologies |
3 |
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MAI 578 |
Business Analytics and Decision-Making |
3 |
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MAI 579 |
Data Visualization and Dashboard Design |
3 |
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