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School of Information Technology

About the school:

Advances in Information Technology are reshaping the world as we know it. Whether it’s in transportation, entertainment, education, medicine, or telecommunication, there is almost no area that has not been directly affected by advances made in the  IT domain.  The School of Information Technology offers a program that was designed with the aim of providing its students with an education that sets them apart.

To do so, the program offers a strong curriculum that covers the foundations, while bringing students awareness of cutting-edge technologies in their selected specialization tracks.

The school also emphasizes the practical aspect of the field and provides students with various means to practice what they have learned both inside and outside the classroom. The skills that the school cultivates, ensure that students will be able to keep up with advances in the IT domain and to maneuver its rapidly changing landscape. Furthermore, a strong business component means that graduates from this school can start their own businesses upon graduating as well as play effective roles in existing organizations.

To provide students with an education that not only prepares them to understand and capitalize on advances in Information Technology but to contribute to them by providing them with the tools and knowledge for maneuvering through its rapidly evolving landscape and preparing them for successful professional or advanced research careers.

Why join the School of Information Technology?
Demand for highly qualified individuals for work in the IT domain far outnumbers the current supply. During the very short time since its inception, NGU has established itself as an institution that is dedicated to high-quality education. This dedication continues with the introduction of the School of Information Technology (IT), with a cutting-edge program that will deliver:

  • Commitment to quality education.
  • Solid curriculum with three different specializations.
  • Dedicated top-caliber faculty members.
  • Hands-on education.
  • State of the art labs, facilities.
  • Strong ties with the industry.
  • Rich student life
  • The program accepts high school students from (شعبة علمي علوم) or equivalent, not only (شعبة علمي رياضة) or equivalent.
  • Excellent employment prospects

So, if you are passionate about computing and technology at large, and wish to gain an education that will provide you with the tools that make you stand out in the job market whether locally, regionally, or globally, then the School of IT is the school for you.

Prof. Samhaa El Beltagy,
Dean of the School of Information Technology

Samhaa R. El-Beltagy is a Professor of Computer Science. She received her Ph.D. in Computer Science from the University of Southampton, UK, in 2001, and her Masters and Bachelor’s degrees in Computer Science from the American University in Cairo in 1997 and 1993, respectively. Prior to joining NGU, Prof. El-Beltagy was the Head of Research and Development at Optomatica (a company dedicated to the development of AI solutions to real-life complex problems). She is also a co-founder of AIM Technologies, a start-up operating in the Middle East utilizing NLP technologies and advanced analytics. From 2010 to 2018, Prof. El-Beltagy was a faculty member at Nile University (NU) where she served as the Dean of the School of Communication and Information Technology, the Director of the Center for Informatics Science, the founder and Head of the Text Mining Research Group and the Director of the Informatics, Computer Science and Big Data programs. She has participated and played a pivotal role in a number of national projects and is currently a member of the technical committee of the National Council for AI established by MCIT. She currently has over eighty international refereed publications and has served and continues to serve on the international program committees of numerous international conferences, workshops, and committees including L’Oréal’s committee for Women in Science, Fulbright’s Junior Faculty Development Program selection committee, and Fulbright’s Egyptian Student Program interview committee.  Her research interests include Artificial Intelligence, Natural Language Processing, Text Mining, and  Data Mining.


Watch the online info session by Prof. Samhaa El Beltagy talking about the distinctive IT program, career opportunities and course description. 

The duration of this program is 4 years. Modules in the first and second years cover the foundation needed by all IT students irrespective of their chosen specialization.  Foundational modules provide strong theoretical background and hands-on experience in programming, mathematics, algorithms, computer systems and statistics. Modules in the third and fourth year of study, are predominantly focused on the track or specialization a student wishes to pursue.  Students will be allowed to specialize in one of the following three tracks:

  1. Artificial Intelligence (AI) and Data Science:
    The Artificial Intelligence and Data Science major focuses on the intersection of computer science, statistics, and machine learning techniques to analyze and extract insights from large datasets. Students will learn how to design algorithms, develop predictive models, and create intelligent systems that can make data-driven decisions. This major equips students with the skills to solve complex problems using data-driven approaches and to develop applications in various domains, such as finance, healthcare, and technology.

Basic Information:

    • Core Topics: Machine learning, data mining, natural language processing (NLP), deep learning, statistics, data visualization.
    • Career Opportunities: Data scientist, machine learning engineer, AI researcher, business analyst.
  1. Computer Science:
    The Computer Science major provides a comprehensive foundation in programming, software development, algorithms, and computer systems. Students will learn how to create software applications, design efficient algorithms, and explore various areas of computer science, including databases, networks, and operating systems. This major prepares students for a wide range of careers in the tech industry and beyond.Basic Information:

      • Core Topics: Programming languages, algorithms, computer architecture, databases, networking, software engineering.
      • Career Opportunities: Software developer, systems analyst, IT consultant, game developer.
  2. Biomedical Informatics (coming soon):
    The upcoming Biomedical Informatics major will bridge the gap between computer science and healthcare. Students in this major will learn how to apply computational and data analysis techniques to healthcare data, enabling them to contribute to advancements in medical research, healthcare management, and personalized medicine. This major is ideal for those interested in utilizing technology to improve patient care and medical outcomes.

Basic Information:

    • Core Topics: Medical data analysis, healthcare information systems, bioinformatics, electronic health records.
    • Career Opportunities: Health informatics specialist, bioinformatics analyst, healthcare data analyst.

We ensure a harmonious blend of theoretical understanding and practical application through a dynamic learning approach encompassing lectures, tutorials, and laboratory sessions. The practical dimension is further emphasized through a range of engaging avenues:

  • Industrial training
  • Course projects
  • Educational seminars to familiarize students with the available online learning resources and state-of-the-art tools
  • Tech Clubs
  • Hackathons, Challenges and Competitions (Public and Organized by NGU)
  • Invited talks featuring industry leaders


Students will need to complete 135 credit hours over 4 years in order to fulfil the graduation requirements from the School of IT.  Courses to be covered over the four years can be divided into the following categories:

Mandatory General Education Courses

Non major related courses that are essential for achieving desired graduate characteristics and to expand their horizons

Mandatory Math Courses

Courses that are meant to provide the mathematical foundation needed for students to master and benefit fully from other courses that require a strong mathematical background

Mandatory Computing Courses

Foundation courses that provide students not only with the flexibility to go into any specialization` later in their careers, but to also have in-depth understanding of how algorithms and systems work and that allow them to one day become contributors to the fields of Computing, AI, Data Science, or Biomedical Informatics  based on a solid theoretical foundation.

Mandatory Specialization/Track Courses

Courses that focus on the student’s selected track

Elective Computing Courses

A set of courses from which students can choose to either to focus further on their selected study track, or to gain insights into other subjects that may interest them


Below is a list of courses that students have to take to complete the program. Each course is 3 credit hours except where indicated.

Mandatory General Education Courses (21 credit hours)
HUMA 101 Writing Skills
HUMA 150 Presentation and Communication Skills
HUMA 210 Critical Thinking
BADM 101 Key Concepts in Business & Management
ENTR 221 Key Issues in Entrepreneurship & Innovation
MGMT 313 Project Management
HUMA 231 Ethics in Technology
Elective General Education Courses (3 credit hours) to be chosen from the following
ARTS 170 Introduction to Photography
TECH 240 Introduction to Digital Media Production
PHYS  250 Introduction to Astronomy
HUMA 290 Introduction to Ancient Egypt
ARTS 220 Introduction to Art and Design
ARTS 280 Selected Topics in Arts
ACCT 201 Foundations of Accounting
BADM 124 Creativity-based Problem Solving
MKTG 201 Marketing Principles
HUMA 103 Selected Topics in Humanities
Mandatory Math Courses (18 credit hours)
MATH 131 Pre-Calculus  (0 credit hours- only for students who did not attend an advanced math course in Thanaweya Amma or equivalent)
MATH 132 Calculus I
MATH 232 Calculus II
MATH 240 Linear Algebra
MATH 260 Discrete Mathematics
MATH 320 Probability and Statistics
MATH 346 Differential Equations
Mandatory Computing Courses (48 credit hours)
CSAI 101 Introduction to Computing (0 credit hours- only for students who did not attend a Computer Science course in IGCSE or equivalent. Thanwya Amma students must take this course)
ECEN 101 Digital Logic Design
BINF 101 Introduction to Bio-informatics
CSAI 106 Introduction to Programming
CSAI 206 Programming II
CSAI 230 Data Structures and Algorithms
CSAI 307 Software Engineering
CSAI 310 Database Systems
CSAI 325 Introduction to Data Science
CSAI 330 Analysis and Design of Algorithms
CSAI 335 Theory of Computing
CSAI 350 Operating Systems
CSAI 390 Industrial Training I
ECEN 335 Computer Networks
CSAI 415 Introduction to Artificial Intelligence
CSAI 490 Senior Project I
CSAI 491 Senior Project II


Mandatory Courses for the AI and Data Science Specialization (33 credit hours)
CSAI 327 Introduction to Big Data
CSAI 320 Introduction to Computer Security
CSAI 360 Computer Graphics
CSAI 410 Advanced Database Systems
CSAI 420 Machine Learning and Statistical Analysis
CSAI 422 Applied Data Mining
CSAI 432 Cloud and High Performance Computing
ECEN 450 Introduction to Robotics
CSAI 463 Computational Intelligence
CSAI 470 Neural and Deep Learning Models
Students must also  take 1 of the following 2 courses:
CSAI 468 Natural Language Processing
CSAI 472 Digital Image Processing
Core Elective courses (6 credit hours) to be selected from the following courses:
CSAI 473 Computer Vision
CSAI 473 Speech Processing
CSAI 471 Deep Reinforcement Learning
CSAI 496 Selected topics in AI
Cross specialization elective courses (6 credit hours) to be selected from any of the other specialization’s  core/elective courses (or from this specialization’s elective courses)


Mandatory Courses for the Computer Science specialization (27 credit hours)
CSAI 320 Introduction to Computer Security
CSAI 340 Concepts of Programming Languages
CSAI 360 Computer Graphics
CSAI 325 Compiler Design
ECEN 330 Computer Architecture
CSAI 405 Distributed Systems
CSAI 410 Advanced Database Systems
CSAI 364 Modern Application Development
CSAI 432 Cloud and High Performance Computing
Core Elective courses (12 credit hours) to be selected from the following courses:
CSAI 312 Human Computer Interaction
CSAI 321 Cryptography
CSAI 323 Multimedia Systems
CSAI 327 Introduction to Big Data
CSAI 329 Introduction to IoT
CSAI 391 Industrial Training II
CSAI 412 Advanced Computer  Security
CSAI 420 Machine Learning and Statistical Analysis
CSAI 422 Applied Data Mining
CSAI 495 Selected topics in Computing
ECEN 376 Information Theory
ECEN 432 Advanced Computer Architecture
ECEN 445 Wide Area Networks
Cross specialization elective courses (6 credit hours) to be selected from any of the other specialization’s  core/elective courses (or from this specialization’s elective courses)


Mandatory Courses for the Biomedical Informatics specialization (36 credit hours)
BIOL 101 Biology I  (0 credit hours – Only For students who did not attend an advanced biology course in Thanaweya Amma or equivalent)
BIOL 201 Biology 2
BIOL 250 Human Genetics
BIOL 270 Human Physiology and Anatomy
BIOL 320 Molecular and Cellular Biology
BIOL 380 Medical Biotechnology and Molecular Medicine
CHEM 215 Analytical Chemistry
CHEM 285 Biochemistry
Math 327 Biostatistics in Medicine
BINF 290 Algorithms for Bioinformatics
BINF 310 NGS and Multi-Omics Data Analysis
BINF 317 Clinical Bioinformatics
BINF 420 Health Information systems (HIS)
Core Elective courses (6 credit hours) to be selected from the following courses:
BIOL 415 Pharmacogenomics and drug discovery
BINF 480 Artificial Intelligence in Healthcare
BINF 490 Selected Topics in Bioinformatics
Cross specialization elective courses (3 credit hours) to be selected from any of the other specialization’s  core/elective courses (or from this specialization’s elective courses)

Newgiza University (NGU) was established as a private university by a presidential Decree “93” in April 2010. All NGU schools are acknowledged by the Ministry of Higher Education (MHE) and the Supreme Council of Universities (SCU). Ministerial Decree 4267 issued by the Ministry of Higher Education was issued to permit students to enroll in the School of Information Technology as of the academic year 2020/2021.

The university will eventually include twelve schools: Medicine; Pharmacy; Dentistry; Nursing and Health Science; Economics and Politics; Law; Business and Finance; Engineering; Information Technology; Fine Arts; Archaeology; and Languages and Interpretation. Currently, eight schools are functioning (Medicine, Dentistry, Pharmacy, Business and Finance, Economics and Politics, Engineering, Information Technology, and Fine Arts).

As per Egyptian laws, application for accreditation by the National Authority for Quality Assurance and Accreditation in Education (NAQAAE) will be filed upon the graduation of the first school cohort in 2024.

NGU has a number of collaborative arrangements and partnerships with educational, and research institutions outside of Egypt. Those partnerships aim to enhance the quality of educational programmes delivered at NGU. The following are the agreements that are specific to the School of Information Technology.

The Visiting Student Program with the University of Nebraska, Omaha, USA

NGU has signed a Visiting Student Program  agreement with the University of Nebraska, Omaha (UNO),  USA which allows students enrolled in the School of Information Technology, to spend a semester abroad (typically the Fall semester)  there after their first or second year at NGU. More details about the program can be found in this FAQ provided by UNO.

The 3+1+1 Agreement with the University of Ottawa, Canada

NGU has signed a 3+1+1 agreement with the  University of Ottawa, Canada which allows students enrolled in the School of Information Technology, to spend their 4th year in uOttawa upon completion of their first 3 years at NGU. After finishing their fourth year in uOttawa, students get their Bachelor’s degree from NGU, but are automatically enrolled in uOttawa’s professional Master of Digital Transformation and Innovation program (if that is what they want and if they meet the requirements of the program) which typically takes one year to complete. Upon completing this program, students will be granted a professional Masters from uOttawa. More information can be found here.

Tuition Fees:

The tuition fee for the School of Information Technology for the academic year (2023-2024) is EGP 154,400 for Egyptian students.

For more information on tuition fees, please visit our admissions section.



The deadline for the academic year 2023/2024 will be announced soon.

To apply to the School of Information Technology (Fall 2024/25), fill out our online application form.

For admissions inquiry, please contact 16623, or email enrollment@ngu.edu.eg

Prof. Samhaa El Beltagy

Dean School of Information Technology
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Prof. Hesham Ali  

Visiting Professor
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Dr. Muhammad A. RUSHDI

Associate professor
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Dr. Laila H. Afify

Assistant Professor
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Dr. Mohamed Ibrahim

Assistant Professor  
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Dr. Reham Hossam

Assistant Professor
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Luc Frachon

Guest Lecturer  - Data Science
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Badiaa Gabr

Teaching Assistant  
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Anan Gamal

Teaching Assistant  
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Nourhan Khalaf

Teaching Assistant
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Pansy Yusuf

Teaching Assistant
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Asmaa Elhadidy

Teaching Assistant
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