Program Overview

The Master of Science in Applied Artificial Intelligence (AAI) at Alfaisal University is 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.

Degree Type

The program offers a Master of Science in Applied Artificial Intelligence.

Program Structure

The program is 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
• Business Intelligence

Credit Hours Required

The program requires a total of 42 credit hours, consisting of:

• Core courses: 12 credit hours
• Elective courses: 12 credit hours
• Thesis: 18 credit hours

Core Courses

The core courses for the thesis option are: | Course Code | Course Name | Credit Hours | Prerequisite | | --- | --- | --- | --- | | MAI 551 | Machine Learning | 3 | | | MAI 552 | Probability and Statistics for AI | 3 | | | MAI 553 | Trustworthy and Ethical AI Systems | 3 | | | MAI 554 | Deep Learning | 3 | MAI 551 |

Elective Courses

Students must choose 4 elective courses from the following tracks:

Track #1: Applied Artificial Intelligence

Course Code	Course Name	Credit Hours	Prerequisite
MAI 555	Computer Vision and Pattern Recognition	3	MAI 551 & MAI 552
MAI 556	Generative AI	3	MAI 551
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
MAI 565	Software Testing and Quality Assurance in AI Systems	3	MAI 561
MAI 566	Principles and Engineering Applications of AI	3
MAI 567	AI in Cybersecurity	3
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

Course Code	Course Name	Credit Hours	Prerequisite
MAI 555	Computer Vision and Pattern Recognition	3	MAI 551 & MAI 552
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
MAI 566	Principles and Engineering Applications of AI	3
MAI 570	Speech Recognition and Understanding	3	MAI 552
MAI 571	AI in Robotics	3	MAI 563
MAI 573	Embedded Systems for Robotics	3
MAI 574	Autonomous Robots	3

Track #3: Artificial Intelligence in Healthcare

Course Code	Course Name	Credit Hours	Prerequisite
MAI 555	Computer Vision and Pattern Recognition	3	MAI 551 & MAI 552
MAI 556	Generative AI	3	MAI 551
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
MAI 575	Health Informatics	3
MAI 576	Clinical Decision Support Systems	3

Track #4: Business Intelligence

Course Code	Course Name	Credit Hours	Prerequisite
MAI 555	Computer Vision and Pattern Recognition	3	MAI 551 & MAI 552
MAI 556	Generative AI	3	MAI 551
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
MAI 578	Business Analytics and Decision-Making	3
MAI 579	Data Visualization and Dashboard Design	3

Study Plan

The study plan for the program is as follows:

Semester 1

• MAI 551: Machine Learning (3 credits)
• MAI 552: Probability and Statistics for AI (3 credits)
• MAI 553: Trustworthy and Ethical AI Systems (3 credits) Total credits: 9

Semester 2

• MAI 554: Deep Learning (3 credits)
• MAI 5XX: Elective (3 credits)
• MAI 5XX: Elective (3 credits) Total credits: 9

Semester 3

• MAI 5XX: Elective (3 credits)
• MAI 600 A: Thesis A (9 credits) Total credits: 12

Semester 4

• MAI 5XX: Elective (3 credits)
• MAI 600 B: Thesis B (9 credits) Total credits: 12

Al Faisal University: A Comprehensive Overview

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Overview:

Al Faisal University is a student-centered institution dedicated to creating and disseminating knowledge through world-class undergraduate and graduate programs, research, and service. It aims to benefit the Kingdom of Saudi Arabia, the region, and the world, stimulating the development of knowledge-based economies. The university prides itself on its innovative academic programs, hands-on opportunities, and rigorous coursework, preparing students for a complex global society.

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Services Offered:

Al Faisal University offers a range of services to its students, including:

Financial Aid:

Merit-based and need-based scholarships are available to students.

Counseling:

The Counseling and Skills Development Unit (CSDU) promotes a welcoming atmosphere conducive to student well-being, personal growth, and psychological health.

Enrichment Programs:

Alfaisal University Enrichment Programs (AUEP) bridge the gap between high school and university, delivering knowledge and skills in a wide range of evolving fields.

Events & Activities:

With over 50 student organizations, the university offers a vibrant campus community with opportunities for participation in sports, theatre, photography, and cultural groups.

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Student Life and Campus Experience:

Al Faisal University fosters a positive, fun, and friendly student culture. The university strives to create a welcoming environment and provide resources for student success, including:

Freshmen Orientation:

Helps new students acclimate to campus life.

Study and Tutoring Sessions:

Provide academic support.

Counseling Services:

Offer guidance and support.

Job and Internship Fairs:

Connect students with career opportunities.

Recreational Activities:

Promote well-being and social interaction.

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Key Reasons to Study There:

Academic Excellence:

Recognized as one of the world's top 200 institutions under 50 years old, Al Faisal University consistently ranks highly in national and international rankings.

Small Class Sizes:

With a student-teacher ratio of 18:1, students receive personalized attention and opportunities for interaction with faculty.

World-Class Faculty:

The university boasts internationally acclaimed researchers and scholars who provide mentorship and guidance.

Friendly Environment:

The university fosters a welcoming and supportive community.

Centrally Located:

Situated in Riyadh, the university is accessible to major highways and the KFSHRC teaching hospital.

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Academic Programs:

The context does not provide specific details about the academic programs offered at Al Faisal University. However, it mentions that the university offers world-class undergraduate and graduate programs.

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