Introduction:

The Minor in Artificial Intelligence aims to equip undergraduate students with theoretical knowledge and practical skills in the field of Artificial Intelligence (AI), with a focus on multidisciplinary applications and ethical considerations.

The AI minor allows students to enhance their capabilities by gaining knowledge and hands-on experience in AI. Through engagement in specialized courses, practical projects, and ethical discussions

Program Educational Objectives:

The Program Educational Objectives (PEOs) of the Minor in Artificial Intelligence are designed to align with the university’s mission and support the national strategic direction for developing AI competencies. Graduates of the Minor in AI will be prepared to:

PEO1 Introduce students to the broad field of artificial intelligence (AI), including its key concepts, tools, and techniques.

PEO2 Explore and develop real-world applications of AI and Machine Learning (ML) across diverse industries and domains.

PEO3 Provide students with practical experience in evaluating AI and ML models to address real-world problems.

PEO4 Promote ethical awareness and responsible use of AI in academic, professional, and societal contexts.

Program Learning Outcomes:

Graduates are expected to have the ability to:

K1/PLO1 Explain the core concepts, tools, techniques, and limitations in artificial intelligence and machine learning.

S1/PLO2 Apply appropriate AI tools and techniques to solve real-world problems in specific domains.

S2/PLO3 Evaluate AI system in specific domains.

V1/PLO4 Demonstrate ethical responsibility and awareness of the societal impact of AI technologies, including fairness, transparency, and data privacy.

Application:

Admission to the Minor in Artificial Intelligence program is subject to Article 14 of the Regulatory Bylaws for Undergraduate Academic Affairs and its Executive Rules, in accordance with the announced terms, conditions, and criteria.

Applications are accepted each academic term through the academic system portal during specific periods announced on the website of the College of Computer and Information Sciences.

Students enrolled in any of the College of Computer and Information Sciences programs are not eligible to apply.

To apply for the Minor in AI program, students must not have completed more than 60% of the total credit hours required in their major degree plan1.

The proportion of overlapping credit hours must not exceed 25% of the total credit hours of the minor (or a maximum of two courses). The department offering the minor shall determine whether the overlapping course will be counted as an equivalent or replaced with another course within the minor.

Admission Requirements:

Students applying for the Minor in Artificial Intelligence must meet the following requirements:

* Be enrolled in a bachelor’s degree program at King Saud University, excluding programs offered by the College of Computer and Information Sciences.

* Be enrolled in a bachelor’s degree program at King Saud University in one of the following colleges:

* College of Engineering

* College of Science

* College of Medicine

* Have a cumulative GPA of 3.75 or above.

* Have successfully completed the prerequisite course prior to applying for the minor and achieved a minimum grade of ‘B’.

* ⁠⁠Demonstrate English language proficiency by either achieving a grade of ‘A’ in English language courses of the Common First Year

Selection Criteria:

Due to the limited number of seats offered by the program, the following selection criteria will be applied when accepting students into the program:

１. Cumulative GPA.

２. Grade in prerequisite courses.

The admission criterion is calculated after converting all values to a scale of (100) as follows:

Admission Criterion = (0.70 × Cumulative GPA) + (0.30 × Prerequisite Grade)

Applicants are ranked based on the admission criterion and accepted according to the available seats

Prerequisites:

To be eligible for enrolment in the Minor in Artificial Intelligence program, students must have successfully completed an introductory statistics course, such as:

* STAT 101 - Introduction to Probability & Statistics

* STAT 102 - Introduction to Probability

* STAT 109 - Biostatistics

* QUA 107 - Introduction to Statistics in Business

Program Structure:

The program comprises 20 credit hours distributed across seven courses, including one preparatory course, four required core courses, and two elective courses. Table 1 presents a detailed overview of the program structure.

Table 1: Minor in AI Structure

Frequently asked question (FAQ):