Information Science

• Fundamental Concepts: Ability to explain the core principles of information technology, industry standards, and specialized IT principles.
• IT Practices: Ability to describe the procedures and best practices for implementing IT applications and managing digital infrastructure. 

• Problem Analysis: Analyze complex computing problems and apply principles of mathematics and computing to identify viable solutions.
• System Design: Design, implement, and evaluate computing-based solutions (systems, components, or processes) to meet specific requirements.
• Secure Integration: Use systemic approaches to select, apply, and administer secure computing technologies to achieve user and organizational goals.
• Effective Communication: Communicate effectively in various professional contexts with diverse audiences, both orally and in writing. 

• Ethical Responsibility: Graduates should understand professional responsibilities and ethical decision-making in computing based on legal and social principles.
• Teamwork and Leadership: The program emphasizes working effectively in teams and leading activities relevant to the IT field.
• Continuous Learning: Graduates should recognize the importance of ongoing professional development in the rapidly changing tech industry.

Admission is a multi-stage process starting with the Common First Year (CFY).

• 30% High School GPA.
• 30% General Aptitude Test (Qudurat).
• 40% Subject Achievement Test (Tahsili). 

• Composite Average: Must be at least 70%.
• Math Performance: Grades in CFY Math courses (Math 140 and 150) account for 25% of the placement score.
• Department Capacity: Placement also depends on available seats and student preference.

• • Age: Applicants must generally be under 25 years old.

Preparatory Year

Preparatory Year – First Semester

Computer Skills – Credit Hours
Introduction to Mathematics – Credit Hours
English I – Credit Hours

Preparatory Year – Second Semester

English II – Credit Hours
Communication Skills – Credit Hours
Health and Fitness – Credit Hours

First Year (Common Foundation)

First Year – First Semester

CSC111 – Computer Programming I – Credit Hours
Introduction to Computing – Credit Hours

First Year – Second Semester

Data Structures – Credit Hours
Discrete Mathematics – Credit Hours

Second Year (Common Foundation)

Second Year – First Semester

Algorithms – Credit Hours
Database Systems – Credit Hours

Second Year – Second Semester

Operating Systems – Credit Hours
Computer Organization – Credit Hours

Third Year (Specialized Track Begins)

Third Year – First Semester

Track Core Course I – Credit Hours
Track Core Course II – Credit Hours
Technical Elective I – Credit Hours

Third Year – Second Semester

Track Core Course III – Credit Hours
Track Core Course IV – Credit Hours
Technical Elective II – Credit Hours

Fourth Year

Fourth Year – First Semester

Advanced Track Course I – Credit Hours
Advanced Track Course II – Credit Hours
Technical Elective III – Credit Hours

Fourth Year – Second Semester

Graduation Project – Credit Hours
Technical Elective IV – Credit Hours

Summer Training (Before Graduation Year)

Industrial Internship – Minimum 8 Weeks – Non-Credit / Credit as per program policy

Available Specialized Tracks (Starting from Third Year)

• Data Science and Artificial Intelligence (DSAI)

• Cyber Security (CYS)

• Networks & IoT Engineering (NIE)

• Information Resources Management (Information Science – Humanities Track)

Program Notes

• Total Electives: Approximately 16 Credit Hours

• Graduation Requirement: Successful completion of the Graduation Project

• Practical Training: Mandatory full-time industrial internship