الجامعة المصرية في العلمين

كلية

الحاسبات و

الذكاء الاصطناعي

رؤية الكلية

ريادة الكلية في التعليم الأكاديمي، والبحث العلمي والتطبيقي في مجالات الحوسبة والمعلوماتية والذكاء الاصطناعي، بما يخدم تحقيق أهداف التنمية المستدامة في مصر.

رسالة الكلية

تلتزم كلية الحاسبات والذكاء الاصطناعي –بتقديم تعليم وبحث جيد لخلق كوادر ذات قدرة تنافسية عالية من المتخصصين في مجالات المعلوماتية والحوسبة. كما توفر الكلية برامج لبناء القدرات وتقدم استشارات وحلولا تقنية مساهمة منها في التنمية الاجتماعية والاقتصادية.

أهداف الكلية

1.

إعداد متخصصين في الحوسبة والذكاء الاصطناعي، وتنمية المهارات العملية لدى الطلاب.

2.

تعزيز كفاءات الخريجين ودعم الميزة التنافسية لكل من الطلاب والباحثين.

3.

التطوير المستمر لقدرات أعضاء هيئة التدريس ومساعديهم لمواكبة التطورات التكنولوجية.

4.

توفير بيئة مرجعية ومناخ مثالي للعمليات التعليمية والبحثية.

5.

تطوير البحث العلمي ودعمه والاستفادة منه لتعزيز الخدمات العامة والحكومية على المستويين المحلي والإقليمي.

6.

تعزيز الشراكات والبرامج التعاونية مع مؤسسات المجتمع المدني وهيئات التنمية البيئية.

7.

الالتزام بتطبيق معايير الجودة، بالإضافة إلى التقييم الدوري للقدرة المؤسسية والفعالية التعليمية.

8.

تطوير وطرح برامج مبتكرة ومتعددة التخصصات، تتماشى مع المتطلبات الديناميكية والمتطورة لسوق العمل.

درجات البكالوريوس

بناءً على توصية مجلس الكلية، تمنح جامعة العلمين درجة البكالوريوس في الحاسبات والذكاء الاصطناعي، وفقاً لنظام الساعات المعتمدة، في أحد التخصصات (البرامج) التالية:

الحاسوب وتكنولوجيا المعلومات

برنامج رمز
علوم الحاسب
CS
هندسة البرمجيات
SE
الأمن السيبراني
CY

الذكاء الاصطناعي

برنامج رمز
الذكاء الاصطناعي وعلوم البيانات
AD

قد يتم استحداث برامج إضافية (تخصصات رئيسية أو فرعية) في الكلية مستقبلاً، وذلك وفقاً لأحكام قانون تنظيم الجامعات الخاصة، وقانون إنشاء جامعة العلمين، ولائحتها الداخلية.

متطلبات التخرج

للحصول على درجة البكالوريوس، يتعين على الطلاب إتمام 138 ساعة معتمدة بنجاح، موزعة على المتطلبات العامة (متطلبات الجامعة)، والمتطلبات الأساسية (متطلبات الكلية)، ومتطلبات التخصص (متطلبات التخصص الرئيسي).

الأقسام العلمية في الكلية

تضم كلية الحاسبات والذكاء الاصطناعي الأقسام العلمية التالية:

قسم الحاسبات وتكنولوجيا المعلومات

قسم الذكاء الاصطناعي

الأحكام التنظيمية:

التوسع المستقبلي:

قد يتم إنشاء أقسام إضافية داخل الكلية مستقبلاً، وذلك وفقاً لأحكام قانون تنظيم الجامعات الخاصة.

الاختصاص الإداري:

يتولى كل قسم مسؤولية التدريس وإجراء البحوث في المقررات الدراسية التي تندرج ضمن تخصصه. وعلاوة على ذلك، تقدم الكلية مقررات عامة وأساسية كجزء من منهجها الدراسي.

Graduate Attributes (Graduate Profile)

The Faculty equips students with the following skills and competencies:

Programming

The proficiency to develop software applications using various programming languages.

Database Design

The ability to design efficient and optimized databases for data storage and retrieval.

Application Development

The capacity to analyze, design, and develop information technology and artificial intelligence applications.

Problem-Solving

Enhancing students' creative and critical thinking capacities to solve complex problems, coupled with the ability to communicate effectively to present innovative solutions.

Teamwork

The ability to collaborate productively within multidisciplinary teams, fostering knowledge and expertise sharing.

Communication

The capability to communicate effectively with various stakeholders, including peers and clients, alongside proficiency in technical presentation, negotiation, and professional communication.

Research and Information Extraction

The competence to conduct research and extract relevant data, enabling them to propose appropriate, data-driven solutions within their field of specialization.

Professional and Ethical Responsibility

A comprehensive understanding of, and adherence to, the ethical, professional, and legal standards governing the profession.

Systems Security Lifecycle

A deep understanding of the design and development lifecycle of secure systems.

Network and Information Security

The mastery of methodologies and techniques for securing networks, systems, and data confidentiality, along with the ability to deliver comprehensive security solutions.

Cyber Defense and Digital Content Protection

The utilization of modern tools and methodologies to counter various types of cyberattacks and safeguard digital content.

Digital Forensics

The deployment of a diverse set of tools and appropriate investigative methodologies to conduct digital forensics across file systems, networks, and mobile devices.

Disaster Recovery and Incident Response

The mastery of techniques for system restoration post-security breaches, ensuring business continuity and maintaining rapid response capabilities to security incidents.

Faculty Overview

The Faculty of Computers and Artificial Intelligence at the Egyptian University of Alamein, located in New Alamein City, is among the inaugural faculties to commence operations at the university. Academic instruction at the faculty is scheduled to begin in the academic year 2026/2027, pursuant to Ministerial Decree No. (………) issued by the Minister of Higher Education on ………, 2026.
Since its inception, the faculty has steadfastly endeavored to serve as a cornerstone for societal and scientific advancement within its region and environment. The faculty fulfills a pivotal educational, research, and community-oriented role by equipping society with the qualified human capital essential for sustainable development. Furthermore, it fosters the entrenchment of ethical values and high cultural ideals, reflecting the status of the Egyptian University of Alamein as a modern institution and a key pillar of private higher education.
The Faculty of Computers and Artificial Intelligence firmly believes that its scope extends far beyond the mere instruction of computer sciences. It maintains that the mission of a university professor transcends delivering lectures to encompassing the cultivation of core values and skills. This includes instilling a deep awareness of the critical role of technology in the upcoming phase as a pathway to success and a means to elevate an education system built on strategic foundations and goals that benefit society.
In light of this vision, the internal bylaws of the Faculty of Computers and Artificial Intelligence have been meticulously structured in accordance with the latest contemporary practices and the demands of both current and future labor markets. This framework addresses the intensifying local, regional, and international competition, ultimately serving the objectives of sustainable development and the Egypt Vision 2030.

College Admission Requirements

The Faculty of Computers and Artificial Intelligence admits students holding the General Secondary Education Certificate (Thanaweiya Amma) – Mathematics and Science tracks – or its official equivalent, in accordance with the terms and conditions prescribed by the University Council.

Regulatory Provisions & Prerequisites:

Remedial Mathematics Requirement:

Students admitted from the Science track shall be required to complete a remedial/preparatory Mathematics course.

Regulatory Compliance:

All admissions shall strictly comply with the regulations and guidelines approved by the Ministry of Higher Education, represented by the Council of Private and National Universities.

Transfer Regulations from Equivalent Colleges or Higher Institutes

A. Credit Transfer and Course Exemption:

The Faculty accepts transfer students from equivalent colleges or higher institutes. Transfer students may be exempted from taking examinations in certain courses that are equivalent to the Faculty’s curriculum, provided they have successfully passed those courses at their institution of origin. This exemption is subject to an academic credit evaluation (course mapping) conducted by the relevant scientific departments. The exemption becomes effective upon the approval of both the Faculty Council and the Education and Student Affairs Council, with a delegation granted to the College Dean to ratify the academic credit evaluations.

B. Maximum Transferable Credits:

Students may transfer to the Faculty, and a credit evaluation shall be performed for the courses successfully completed at the institution of origin. The total exempted credits shall not exceed 50% of the total graduation requirements needed to obtain a Bachelor’s degree from the Faculty (up to a maximum of 67 credit hours).

C. Cumulative Grade Point Average (CGPA) Calculation:

For transfer students admitted to a credit-hour program, the Cumulative Grade Point Average (CGPA) shall be calculated exclusively based on the courses completed under the framework of this specific program. No previous coursework completed under a credit-hour system at any other university, or under a two-semester (traditional) system at either the home or any other university, shall be factored into the CGPA calculation. In all cases, an academic credit evaluation shall be conducted to count approved courses toward graduation requirements, without including them in the student's CGPA.

Grade Equivalence Table for Transferring from a Semester System to a Credit-Hour System

💡 المصطلحات الأكاديمية المستخدمة (Key Academic Terms):
• المقاصة العلمية: Academic Credit Evaluation / Course Mapping.
• الكلية/المعهد المحول منه: Institution of Origin.
• المعدل التراكمي: CGPA (Cumulative Grade Point Average).
• إعفاء: Exemption / Exempted.
• تعديل النقاط والتقديرات: Grade Equivalence.

Percentage Score Grade Points Letter Grade
95% and above
4.0
A+
90% to less than 95%
4.0
A
85% to less than 90%
3.7
A-
80% to less than 85%
3.3
B+
75% to less than 80%
3.0
B
71% to less than 75%
2.7
B-
68% to less than 71%
2.3
C+
65% to less than 68%
2.0
C
60% to less than 65%
1.7
C-
55% to less than 60%
1.3
D+
50% to less than 55%
1.0
D
Less than 50%
0.0
F