The Faculty of Artificial Intelligence at the Egyptian Russian University seeks to prepare specialized and distinguished cadres in the field of computers and artificial intelligence, qualified and equipped with educational, research and applied foundations in the field of specialization in line with quality standards in the fields of computers and artificial intelligence and capable of continuous learning and competition in the labor market within a framework of moral values, and to contribute In developing scientific research, local and international cooperation, and effective participation in serving the community and the surrounding environment.
Faculty of Artificial Intelligence aims to:
1)prepare specialists in computers and artificial intelligence as a unique field, equipped with theoretical foundations and application methodologies, enabling them to compete locally, regionally, and globally in the development of computer and AI technologies and their applications.
2)Conduct scientific and applied studies in the fields of computers and artificial intelligence, with a focus on those that have a direct impact on achieving sustainable development and keeping pace with the state's move towards digital transformation.
3)Provide scientific and technical consultations and assistance to organizations and entities that utilize computer and AI technologies and are involved in decision-making processes.
4)Raise and deepen awareness within society about the use of computer and AI technologies in various sectors and institutions of the state, and to enhance the efficiency of their usage.
5)Establish scientific agreements with counterpart organizations and institutions at the local, regional, and global levels with the aim of exchanging views, conducting research related to computer and AI specializations, and supporting and providing means for scientific publication and research in various specialized fields.
6)Raise awareness of computer and AI technologies within society to enhance their use in various state sectors and institutions, and to improve the efficiency of their application.
7)Collaborate with specialized entities in the development of various software and intelligent applications.
8)Continuously develop study programs and educational systems in line with the requirements of preparing a distinguished and competitive graduate.
The faculty adopts the governing values of the university, which are:
1)Developing analytical and logical thinking skills.
2)Acquiring high-level problem-solving abilities in both academic and professional contexts.
3)Developing competencies in artificial intelligence and data science, particularly in expert systems, machine learning, deep learning, natural language processing, computer vision, robotics, data mining and analysis, data retrieval, and providing data and information security from leaks, theft, plagiarism, and violations of copyright and intellectual property rights, among other related fields.
4)Opening doors to exciting and innovative academic and scientific career paths that are both modern and evolving.
5)Working in a rapidly growing field.
6)Introducing new future-oriented specializations that were previously unavailable, such as cybersecurity and robotic intelligence.
7)Innovating new methods and techniques for data and information preservation.
8)Providing job opportunities in leading local, regional, and global companies that operate in the fields of artificial intelligence, data science, and cybersecurity.
9)Offering ample job opportunities for graduates, along with competitive and high salaries.
1) Apply knowledge of mathematics, sciences, and computational concepts to solve computing problems.
2) Identify, formulate, and solve computing problems.
3) Utilize modern computing techniques, skills, and tools necessary for practical computing practices.
4) Design computing components, processes, and systems to meet required needs within realistic constraints, considering the negative impact of computing solutions on society and the environment.
5) Design and conduct experiments, as well as analyze and interpret data implications.
6) Demonstrate knowledge of contemporary computing topics.
7) Work efficiently within multidisciplinary teams.
8) Demonstrate professional responsibilities and ethical, societal, and cultural concerns.
9) Recognize the need for and the importance of lifelong self-learning.
10) Manage computing projects under economic, environmental, and social constraints.
11) Meet the requirements of potential employers.
The faculty offers the following academic degrees: