College of Engineering and Information Technology
Department of Artificial Intelligence Engineering and Data Science
Department Overview
One of the prominent scientific departments at AlShaab University is an engineering specialization, one of the most important specialties in the world of information technology, which seeks to simulate natural intelligence through the use of intelligent computer models and providing the necessary technologies and technology to build systems capable of making smart decisions and actions. It is a branch of engineering that focuses on the development and design of systems and software that enable smart devices and systems to think intelligently and make decisions based on acquired data and knowledge. The specialization of artificial intelligence engineering includes the study of theoretical concepts and practical techniques required to provide technological systems that approach the performance of some tasks performed by humans intelligently.
The duration of study in the department is four years, during which the student receives theoretical and practical lessons on the applications of artificial intelligence in the fundamental areas of cognitive science applications, smart machines, and natural languages.
Admission Entries
- The scientific branch
- Biology
- Applied Sciences
- Computer Science and Information Technology (Computer Networks - Computer Assembly and Maintenance - Mobile Phones and Laptops)
- Industrial (Computing)
- Daytime study GPA
- The scientific branch
- 60.5
- Daytime study GPA
- The industrial branch
- 63.5
Tuition Fees for the Academic Year 2024/2025
- Daytime classes tuition fees
- 2.000.000 1.500.000 الاجور بعد التخفيض
- Evening classes tuition fees
- 2.000.000 1.500.000 الاجور بعد التخفيض
Daytime and Evening Study Choices
Admission is available for both daytime and evening classes at the university.
- Daytime Classes
- Evening Classes
Four Pillars of the Bologna Process
Message
Preparing distinguished engineers in the field of artificial intelligence and its applications, forming scientifically and professionally qualified engineering staff capable of competing in the job market. In addition, providing outstanding educational services in the field of artificial intelligence according to quality standards and academic accreditation.
Vision
To achieve a rank of excellence and leadership locally and regionally in the field of artificial intelligence engineering. The department aims to excel in education, scientific research, and community service in the field of artificial intelligence. Additionally, it strives to provide an inspiring and supportive educational environment that keeps pace with the developments in this important engineering discipline.
Objectives
1- Qualifying department students at a high level in the field of computing and artificial intelligence according to the required academic and educational standards.
2-Providing students with the skills and scientific knowledge that enhance their competitiveness in the job market.
3-Developing engineering professionals with a high level of scientific and professional competence to work in institutions designed and implemented for applications based on artificial intelligence.
4-Enhancing the analytical and logical thinking skills of artificial intelligence engineers.
5-Cultivating research capabilities in students specializing in artificial intelligence and providing support and encouragement.
6-Offering distinguished programs in the field of artificial intelligence, both theoretical and practical, in accordance with international academic quality standards.
Skills Track for the Department of Artificial Intelligence Engineering
The skills track offered by the Department of Artificial Intelligence Engineering is considered crucial in today's technological evolution. Artificial intelligence and data science are vital fields representing the nerve center of technological advancement. This specialization is one of the most sought-after disciplines in the future job market. The skills track for such a specialization stands out for its comprehensive curriculum, encompassing digital systems, programming, understanding artificial intelligence algorithms, data analysis, understanding mathematical models, statistical analysis, and database fundamentals. Moreover, it emphasizes continuous knowledge development and staying updated with new technologies and innovations aimed at integrating smart technology in various fields to enhance efficiency and provide more effective solutions for current and future challenges.