BS Computer Science – Network Infrastructure and Cloud Computing

This specialization prepares students for cloud companies, IT firms, telecom organizations, startups, and enterprise environments.

Applicants must have completed Higher Secondary School Certificate, A-Levels, or an IBCC-recognized equivalent qualification involving at least 12 years of schooling with at least 50% marks and Mathematics. Students who have not studied Mathematics at intermediate level must pass 6 credit hours of Mathematics deficiency courses within the first year, including zero semester where applicable.

Applicants with HSSC, A-Levels, or an IBCC-recognized equivalent qualification involving at least 12 years of schooling may apply, provided they meet the minimum marks and Mathematics requirement stated for BS Computing programs.

Yes. Mathematics at intermediate level is required for BS Computing programs. Students who have not studied Mathematics must complete 6 credit hours of Mathematics deficiency courses within the first year or zero semester, as applicable under University rules.

No entry test or interview is required for this undergraduate BSCS specialization unless the University officially notifies a change or additional requirement for a particular intake.

Yes. Such applicants may apply after providing the required equivalence from the relevant authority, usually IBCC for school-level qualifications, and fulfilling all University admission requirements.

Eligible AD Computing graduates may be considered for fifth-semester entry subject to CGPA, deficiency or bridging requirements, seat availability, scheme compatibility, and departmental or University approval.

The program is normally completed in 4 years across 8 regular semesters. The maximum duration is normally 6 years, with any further extension subject to statutory approval and applicable policy.

The program requires 130 credit hours, including General Education, Computer Science core, specialization electives, interdisciplinary/allied courses, professional certification, internship/field experience, and final year project.

The program includes professional certification, field experience/internship, and a 6-credit-hour final year project. These components help students connect classroom learning with practical evidence, workplace exposure, and project-based output.

The current tuition fee for undergraduate programs under the Faculty of Computer Science and IT is PKR 135,000 per semester. Application and registration fee is Rs. 30,000 where applicable. Final fee and payment timelines are confirmed through the official admission system.

For undergraduate Computer Science and IT programs, the merit scholarships are offered as follows:

Yes. Kinship discount and alumni discount may be available subject to University policy, verification, eligibility, and approval.

Students may apply for installment or study loan support according to University policy. Study loan support may cover up to 50% of the fee, subject to approval, eligibility verification, availability, and signed undertaking.

Approved study-loan students may be required to enroll in the University-supervised internship/work program and complete assigned online University projects. Repayment follows the approved schedule and signed undertaking, with final terms confirmed by the University.

Scholarship continuation is subject to University-approved conditions, verification, attendance, discipline, required CGPA, timely fee process, and other continuation requirements.

Students first learn concepts through their Personal AI Tutor at their own pace. Then, in mentor-led classes, they apply that knowledge through projects, discussions, problem-solving, and practical tasks.

Teachers build academic understanding, while mentors help students turn knowledge into practical work, career skills, startup ideas, and real-world performance.

Yes. Students work on assignments, projects, digital tasks, workplace simulations, portfolio activities, certification preparation, internship, and final year project work.

The model combines AI Tutor learning, mentor-led application, digital tools, projects, professional practice, and performance improvement instead of relying only on classroom lectures.