- Department of Computer Science at Quaid-i-Azam University ranks 401-500 worldwide and first nationally.
Chairman Message
The Department of Computer Sciences at Quaid-i-Azam University is considered as one of the best computer science departments in Pakistan. The department is ranked among the top 3 departments in the country as per QS and Times Higher Education (THE) rankings. It was established at Quaid-i-Azam University Islamabad in 1976. The main objective of the department is to produce Computer Scientists in order to meet the growing demand for computer professionals in the country. All the programs have been highly successful. Department graduates have attained higher degrees from developed countries and are working in national and international organizations. The department offers PhD (Computer Science), MPhil (Computer Science), MS (Information Science & Technology), MS (Data Science), and BS (Computer Science) degrees. Each degree program has a specific objective and focus. The course of study and syllabus for each degree is updated and is inline with its objectives.
Academics Programe
This degree awarded in an academic discipline and is the most satisfying and rewarding educational experience. Students work closely with a faculty member, performing original research
M.Phil Computer Science programme is to train students to initiate research work. The duration of M.Phil programme is two years (4 semesters).MPhil is of 50 credit hours.
Students will be exposed to different aspects of data science including programming, data structures, and algorithms for data science, data analysis and visualization, and big data analytics.
The BS Computer Science program at QAU provides a well-integrated balance of theoretical and practical knowledge required for developing reliable and usable software tools for different fields
Research
Human Information Interaction
Investigates all aspects of information usage by humans. Research focus varies for information seeking behavior, Information Interaction Techniques, Storage and Retrieval models/frameworks for structured and unstructured information, and information services for human information needs
Knowledge Engineering
Focuses on analyze of data, metadata and knowledge using supervised and unsupervised mining algorithms. The target areas will be software architecture, web services and overlay networks. The main goal is to process related and uncorrelated facts and extract meaningful contextual knowledge for quality decision making.
Networking and Communication
This group investigates the applied aspects in the domains of networking, communication, security and privacy. The research group focuses on a number of areas including but not limited to computer networks, distributed systems, mobile Agent-based distributed systems, routing protocols, peer-to-peer computing, security and privacy.
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