BSc. in Artificial Intelligence

Produce qualified graduates who are academically, skillfully, and ethically prepared to become tomorrow’s leaders in the dynamic AI field, through a high-quality educational environment that fosters excellence in learning and personal development, effective partnership and direct connections to the industry, to fulfill AI labor market needs in Yemeni and regional society.

1. Produce highly qualified academically, skillfully, and ethically graduates in the AI field.
2. Fulfill the AI labor market needs in both Yemeni and regional society.
3. Empower students with the theoretical, practical, and personal necessary skills to become tomorrow’s leaders in the AI field.
4. Establish effective partnerships and direct connections to the industry in the AI field.

The computer science (CS) department at the University of Science and Technology (UST) is recognized as the first program in the country which started in September 1994 in the CS department, college of Engineering. Whereas The Faculty of Computing and Information Technology (CIT) was established independently in 2011 to fulfill the local and regional market needs.

The Artificial Intelligence (AI) program aims to provide the student with the knowledge, values, and skills that enable him/her to study, design, and develop machine simulation of human thinking, and understanding of his language, actions, and tasks he performs. It also deals with AI algorithms, expert systems, deep learning, what a robot is, and how to use it.

The program of AI at CIT faculty emerged in 2024 to fulfill the growing market needs for AI technology. The program satisfies the NARS2023 and international recommendations for AI curriculum and considers the community’s needs. The department staff is continuously working on updating the BSc. program to meet the latest technologies in AI and the fast-changing society’s needs. The program offers a Bachelor of Science degree in AI based on a modern four-year curriculum that provides a solid foundation in both theoretical and practical aspects of the areas of AI. The bachelor’s degree is awarded after successful completion of 133 credit hours. The program has several highly qualified faculty members specialized in a broad range of areas in the field of CS and AI.

A: Knowledge and Understanding

A1. Demonstrate a sound knowledge of computing that leads to exercising critical judgment for solving real-world computing problems.

A2. Show a broad, coherent knowledge and theories of artificial intelligence discipline, with detailed knowledge of key AI algorithms.

B. Cognitive/ Intellectual Skills:

B1. Analyze complex computing problems to identify and assess substantial solutions using principles and techniques of computing, mathematics, and other relevant disciplines.

B2. Propose suitable AI tools, techniques, practices, and methods that can be used to develop smart applications.

 C. Practical and Professional Skills:

C1. Design, integrate, develop, or test an innovative computing-based solution to meet a given set of computing requirements in the context of the AI discipline.

C2. Apply Artificial Intelligence theory and software development fundamentals to produce smart-based solutions.

D. General and Transferable Skills:

D1. Communicate and negotiate effectively with a range of audiences.

D2. Function effectively as an individual and as a member or leader of a team in a multidisciplinary environment.

D3. Engage in lifelong learning for continual development in academic or career life.

D4. Demonstrate professionalism, social and ethical consideration to make informed judgments in computing practice in accordance with ethical and legal principles.

1. Knowledgeable: has deep and comprehensive AI knowledge.
2. Problem Solver: has the skills of problem analysis and solving.
3. Developer: has the skills of AI solutions Development.
4. Technical: has the skills of Modern Tools of AI and Techniques Usage. 
5. Communicator and Collaborator has communication and teamwork skills.
6. Professional: committed to professional computing practice and ethics.
7. Self-learner: committed to Lifelong Learning.
8. AI Analyst: committed to extract Insights from data.
9. AI Engineer: committed to professional developing, programming, and training AI solutions.