BS Computer Science – Data Science

BSCS – Data Science is a four-year Computer Science degree with a Data Science specialization. It keeps the strong BSCS foundation and adds specialized learning in data science, data engineering, visualization, business intelligence, machine learning, big data analytics, data mining, and data ethics and security.

Data Science is one of the most important fields in the AI era because almost every organization now needs people who can understand data, convert it into dashboards, discover patterns, support decisions, and use AI responsibly. Students learn both computing foundations and specialized analytical skills.

Yes. From the early semesters, students can begin practicing programming, spreadsheet analysis, small dashboards, survey summaries, technical writing, digital presentations, and guided portfolio tasks. This helps students build confidence and visible work before the final year.

A general BSCS gives broad computing exposure, while BSCS – Data Science keeps the same computing foundation and focuses the elective pathway on analytics, BI dashboards, machine learning, big data, data engineering, and responsible data use. It is more focused for students who enjoy data, patterns, and decision support.

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. Students should have studied Mathematics at Intermediate level. Students who have not studied Mathematics must complete 6 credit hours of Mathematics deficiency courses during 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 if they meet the minimum marks requirement and University admission rules.

The minimum requirement is at least 50% marks for admission to BS Computing programs, subject to document verification, seat availability, equivalence where applicable, and University admission policy.

Yes, students should ideally have studied Mathematics at Intermediate level. Students who have not studied Mathematics must complete 6 credit hours of Mathematics deficiency courses during the first year, including zero semester where applicable.

For ADP and bachelor-level programs, the University generally does not need to state a test or interview unless it is officially notified for a particular admission cycle. The major stated exception is LLB, where HEC LAT is required. Applicants should follow the official admission system for final confirmation.

AD Computing graduates may be considered for fifth-semester admission subject to HEC pathway rules, minimum CGPA, departmental approval, seat availability, and completion of required deficiency or bridging courses before fifth-semester enrollment.

It is a four-year undergraduate program offered over eight regular semesters. The normal minimum duration is four years, while maximum duration and any extension are handled according to University and applicable HEC rules.

The program has 130 credit hours. The credit-hour breakup includes General Education, mandatory Computer Science core, Data Science specialization electives, professional certification, interdisciplinary/allied courses, field experience, and final year project.

The structure combines computing foundations with mathematics, statistics, cloud computing, artificial intelligence, databases, data engineering, data visualization, business intelligence, machine learning, big data, data mining, ethics, internship, and final year project work.

Yes. A 3-credit Professional Certification requirement is included to support industry readiness. For Data Science students, suitable certification areas may include Python, SQL, Power BI, Tableau, data analytics, cloud foundations, machine learning, AI fundamentals, or related computing skills.

The semester fee for undergraduate programs under the Faculty of Computer Science & IT is PKR 135,000 per semester, subject to the official admission system and University policy.

Yes. Merit scholarship slabs for CS & IT programs may include 40% for 90% and above marks, 35% for 80% to 89%, 30% for 70% to 79%, and 10% for 60% to 69%, subject to verification, approval, and University policy.

Yes. A 25% kinship discount and 50% alumni discount may apply where eligible, subject to verification and University policy.

Students may apply for a 50% study loan subject to approval. Approved students may be required to complete 10 hours per week on assigned online University projects, and the loan is repayable according to the approved 12-installment schedule and signed undertaking.

No. Scholarships, discounts, installments, and study loans are subject to eligibility, verification, approval, continuation requirements, fee rules, and University policy. The tone of the financial support system is supportive, but approvals must follow official rules.

Students first use AI-supported learning and LMS activities for concept clarity, revision, quizzes, learning logs, and guided practice. Classroom time is then used for mentor-led explanation, labs, data projects, problem-solving, feedback, and applied work.