Artificial Intelligence Program

The Artificial Intelligence Program aims to prepare distinguished graduates who are capable of keeping pace with the rapid developments in the field of artificial intelligence by combining familiarity with fundamental theoretical concepts and practical and applied technologies. The program provides a high-quality learning experience in a supportive and stimulating academic environment that enhances critical thinking and innovation skills. It also develops scientific research capabilities and the practical application of artificial intelligence in various fields. The program keeps pace with labor market requirements in artificial intelligence disciplines, including the development of intelligent systems, machine learning, data analysis, robotics, and the Internet of Things, with a focus on commitment to scientific integrity and ethical standards. In addition, the program promotes building effective partnerships with the industrial sector, academia, and the community, contributing to expanding artificial intelligence applications and increasing their societal impact, while preparing graduates for responsible and effective professional practice in various fields related to artificial intelligence.

• Study System

  • Program Duration: Four academic years (8 levels)
  • Mode of Study: On-campus
  • Credit Hours: 134 credit hours

Program Mission

Preparing distinguished graduates and contributing in the scientific research in the Artificial Intelligence, as well as participating in community services and holding partnerships, in an environment governed with the fairness and transparency

Program Objectives

1. Graduate qualified professionals with strong knowledge and skills in artificial intelligence.
2. Enhance scientific research and promote innovative solutions and technologies in the field.
3. Support community service by promoting the applications of the artificial intelligence.
4. Establish effective partnerships with academic institutions and various sectors
5. Uphold principles of fairness and transparency to ensure the quality of education and research.

Program Learning Outcomes

Knowledge and understanding

K1: Demonstrate, recall and evaluate knowledge of the concepts, facts, principles, and theories of the basic sciences and mathematics

K2: Exhibit wide knowledge of essential facts, concepts, principles, and theories related to the Artificial Intelligence (AI) discipline

K3: Comprehensively identify research and inquiry methodologies in the field of Artificial Intelligence (AI)

K4: Exhibit wide knowledge of recent development in the Artificial Intelligence (AI)

Skills

S1: Identify requirements and criteria of formulating the problems, and setting the rules of solutions

S2: Apply critical and creative thinking methods to solve Artificial Intelligence (AI) and related problems

S3: Design, implement and analyze software and hardware systems

S4: Develop and conduct experiments, and analyze the measured data

S5: Use techniques, skills and modern tools necessary for Artificial Intelligence (AI) practices

S6: Express and document ideas and solutions persuasively

S7: Conduct inquiries, investigations, and research methodologies to solve complex issues and problems

Values, Autonomy, and Responsibility

V1: Recognize the need for, and an ability to engage in lifelong learning and continuing professional development

V2: Properly consider professional and ethical responsibility

V3: Work effectively as a leader/member of a teamwork

V4: Contribute to community activities related to Artificial Intelligence (AI)

Program Features

• Preparing distinguished graduates in the field of artificial intelligence who are capable of meeting labor market requirements and contributing to scientific research and community service.
• Providing a high-quality learning experience in a supportive and stimulating academic environment that enhances student engagement and develops critical thinking.
• Equipping students with solid scientific foundations, practical skills, and core values that support lifelong learning and continuous professional development in the field of artificial intelligence.
• Encouraging creativity and innovation in solving complex challenges in artificial intelligence, while developing research skills and commitment to scientific integrity and research ethics.
• Building effective partnerships with the industrial sector, academia, and the community to enhance the practical applications and societal impact of artificial intelligence.
• Preparing graduates for professional practice in accordance with legal and ethical frameworks, enhancing responsibility, accountability, and professionalism in the field of artificial intelligence.

Career Opportunities After Graduation

The program qualifies its graduates to occupy high-level and diverse positions in various fields related to artificial intelligence, in line with the growing need for qualified AI competencies and in support of comprehensive development in Saudi society. The most prominent employment fields include:

• Machine Learning Engineer: Develops algorithms and predictive models.
• Data Scientist: Analyzes complex datasets, builds predictive models, and supports data-driven decision-making.
• Artificial Intelligence Researcher: Conducts advanced research in artificial intelligence for academic and industrial advancement.
• Natural Language Processing (NLP) Engineer: Builds systems for understanding and generating human language.
• Computer Vision Engineer: Designs systems for analyzing images and videos.
• Robotics Engineer: Develops autonomous systems and robots.
• AI Ethics Specialist: Ensures the ethical deployment of artificial intelligence systems while considering fairness, bias, and transparency, and possesses knowledge of ethical frameworks, governance, and policies.
• Big Data Analyst: Analyzes large datasets to extract insights.
• Artificial Intelligence Product Manager: Manages the development and deployment of artificial intelligence products.
• Software Developer with a focus on AI/ML: Creates software applications integrated with artificial intelligence and machine learning.
• Expert Systems Developer: Designs rule-based systems to simulate specialized human decision-making.
• Cognitive Computing Engineer: Builds systems that simulate human cognitive functions.
• Artificial Intelligence Consultant: Advises organizations on adopting artificial intelligence technologies to improve operations and innovation.
• Artificial Intelligence Trainer/Educator: Teaches artificial intelligence concepts and applications.
• Artificial Intelligence Application Developer: Develops AI-powered applications to solve problems and improve user experience.