School of Information Technology

Program Overview

With specializations in Artificial Intelligence and Data Science, Computer Science, and Biomedical Informatics (coming soon), graduates are equipped for diverse careers in the IT industry and prepared to contribute to its advancements. Embracing practical application through industrial training, the program ensures graduates possess the skills and knowledge necessary to excel in the field.

Program Outline

The curriculum emphasizes a strong foundation in computing principles, practical skills, and awareness of cutting-edge technologies. The program's objectives are to:

• Equip students with the knowledge and skills necessary to understand and leverage advancements in Information Technology.
• Develop students' abilities to navigate the rapidly evolving landscape of IT.
• Foster critical thinking and problem-solving skills.
• Prepare students for successful professional careers or advanced research endeavors in IT.

Outline:

Program Structure:

• Students must complete 135 credit hours over four years.
• The curriculum is divided into several categories:
• Mandatory General Education Courses:
21 credit hours focused on essential skills and broader perspectives.
• Elective General Education Courses: 3 credit hours chosen from a selection of courses.
• Mandatory Math Courses: 18 credit hours providing a strong mathematical foundation.
• Mandatory Computing Courses: 48 credit hours covering foundational concepts in programming, algorithms, computer systems, and more.
• Mandatory Specialization/Track Courses: 33, 27, or 36 credit hours, depending on the chosen specialization:
• Artificial Intelligence (AI) and Data Science:
Emphasizing machine learning, data mining, NLP, deep learning, and related topics.
• Computer Science: Providing a comprehensive foundation in software development, algorithms, databases, and computer systems.
• Biomedical Informatics (coming soon): Focusing on the intersection of computer science and healthcare, including medical data analysis, healthcare information systems, and bioinformatics.
• Elective Computing Courses: Students can choose additional courses to further specialize in their chosen track or explore other areas of interest.

Course Schedule:

• The first two years cover foundational modules for all IT students, regardless of their specialization.
• Years three and four focus on the selected specialization.
• A detailed list of mandatory courses for each category is provided, with each course typically worth 3 credit hours.

Individual Modules:

• Mandatory General Education Courses: Include 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: A selection of courses from various disciplines, such as 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: Include MATH 131 (Pre-Calculus), 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 Specialization/Track Courses: These courses are specific to each specialization and offer a deeper dive into specialized topics.

Teaching:

Teaching Methods:

• The program employs a dynamic learning approach that combines lectures, tutorials, and laboratory sessions.
• Practical application is emphasized through industrial training, course projects, educational seminars, tech clubs, hackathons, challenges, and competitions.

Faculty:

• The School of Information Technology has a dedicated faculty comprising:
• Professors:
Prof. Samhaa El Beltagy (Dean), Prof. Hesham Ali (Visiting Professor)
• Associate Professors:
Dr. Muhammad A. RUSHDI
• Assistant Professors:
Dr. Laila H. Afify, Dr. Mohamed Ibrahim, Dr. Reham Hossam
• Guest Lecturers:
Luc Frachon (Data Science)
• Teaching Assistants:
Eng. Badiaa Gabr, Anan Gamal, Eng. Nourhan Khalaf, Pansy Yusuf, Asmaa Elhadidy

Unique Approaches:

• The program encourages student involvement in extracurricular activities like tech clubs and competitions.
• It fosters strong industry ties through industrial training and invited talks by industry leaders.

Careers:

Potential Career Paths:

• Artificial Intelligence (AI) and Data Science: Data scientist, machine learning engineer, AI researcher, business analyst
• Computer Science: Software developer, systems analyst, IT consultant, game developer
• Biomedical Informatics: Health informatics specialist, bioinformatics analyst, healthcare data analyst

Opportunities:

• Graduates are highly sought after in the IT industry due to the program's emphasis on practical skills and industry relevance.
• Students are prepared for a wide range of careers, both locally and globally.

Outcomes:

• The program equips students with the skills and knowledge necessary to thrive in the dynamic and competitive IT industry.
• Graduates are expected to contribute to advancements in Information Technology and achieve successful careers in their chosen fields.

Other:

• The program accepts students from (شعبة علمي علوم) or equivalent, not only (شعبة علمي رياضة) or equivalent.
• The university is acknowledged by the Ministry of Higher Education and the Supreme Council of Universities.
• NGU has international agreements and collaborations with educational and research institutions, including the University of Nebraska, Omaha, USA, and the University of Ottawa, Canada.