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Admissions

Join our degree programmes — accredited undergraduate & research-driven graduate studies

All Admission Details →
BS Regular Results Announced

Computer Science

FALL 2026
Merit List / Results Out
Announced on: Aug 15, 2026
View Merit List
BS Self Support Closed

Computer Science

FALL 2026
Admissions Closed
Deadline was: Aug 30, 2026
Applications Closed
MPhil Results Announced

Computer Science

FALL 2026
Merit List / Results Out
Announced on: Sep 01, 2026
View Merit List
PhD Results Announced

Computer Science

FALL 2026
Merit List / Results Out
Announced on: Sep 01, 2026
View Merit List
Quaid-i-Azam University, Islamabad

Welcome to the Department of Computer Sciences

The Department of Computer Sciences at Quaid-i-Azam University is one of Pakistan's premier computing institutions. Established to advance computing research and higher education, the department offers accredited undergraduate (BS) and top-tier graduate programmes (MS, MPhil, and PhD).

Our faculty and researchers are actively engaged in impactful areas including Artificial Intelligence, Data Science, Cyber Security, Human-Computer Interaction, Distributed Systems, and Software Engineering. With extensive external research funding and active graduate supervision, we prepare students to lead technological transformation.

5+
Degree Programmes
>80%
PhD Faculty
NCEAC
Accredited BS
400+
Publications

Upcoming Events & Academic Dates

Seminars, workshops, semester milestones, and deadlines

Full Calendar →
Academic
07
Sep
Fall Semester 2026 Starts
Academic
14
Sep
Last Date for Submission of Dues and Course Registration
Academic
21
Sep
Last Date for Submission of Dues & Course Registration (Late Fine)
Academic
28
Sep
Last Date for Change/Dropping of Courses

Research & Innovation

Cutting-edge research labs, publications, and externally funded projects

Research Overview →
Network and Information Security Lab

Research in network security, cryptography, IoT security, and blockchain technologies.

Data Science and Social Computing Lab

Research in social network analysis, data mining, natural language processing, and information retrieval.

Machine Learning and Computer Vision Lab

Research in machine learning, deep learning, computer vision, image processing, and pattern recognition.