MS Computer Science

Computer Science is now deeply connected with artificial intelligence, cloud computing, big data, software architecture, automation, cybersecurity, and digital platforms. MSCS helps students move from basic technical knowledge toward advanced problem-solving, research thinking, and responsible use of modern AI-supported computing tools.

A basic computing degree builds foundation. MSCS develops graduate-level depth through advanced algorithms, operating systems, computation theory, architecture, research methods, electives, and thesis/project work. The focus is on independent investigation, advanced technical reasoning, scholarly writing, and solution development.

Yes. Research Methods and the supervised thesis/project component help students learn problem formulation, literature review, methodology, analysis, academic writing, ethical research practice, and professional presentation of findings.

Students may use tools such as Personal AI Tutor, ChatGPT, Gemini, Microsoft Copilot, GitHub Copilot, Python, Jupyter Notebook, cloud platforms, Google Scholar, Zotero or Mendeley, and data visualization tools. These tools support learning and research, but students remain responsible for originality, verification, citation, and academic integrity.

Students can build research summaries, technical reports, code experiments, prototypes, data analysis notebooks, cloud-based demonstrations, literature maps, and thesis/project outputs. These activities help them create evidence of advanced learning without making any guaranteed job or income claim.

Yes. The program supports academic and research pathways by developing literature review, research design, scholarly writing, technical analysis, and thesis/project capability. Academic appointments still depend on institutional requirements, performance, publications, interviews, and relevant regulations.

Yes. MSCS can prepare students for doctoral study by developing research discipline, theoretical understanding, methodology, literature review skills, and thesis/project experience. PhD admission remains subject to HEC, University, supervisor, test, and merit requirements.

The selected general elective basket connects cloud computing, machine learning, and big data analytics. These areas are important in software systems, AI-driven products, digital platforms, enterprise data, research labs, and modern technology organizations.

Applicants with a relevant 16-year computing qualification may apply, including BS IT, BS CS, BS Software Engineering, MCS, MSc CS, MSc IT conversion course, or 16-year computing-related engineering degree, subject to University verification and admission rules.

The uploaded MSCS curriculum states a minimum 2.00/4.00 CGPA or at least 60% marks in the annual system. The University may apply approved merit, verification, and admission conditions where applicable.

Yes. The uploaded MSCS curriculum states that GAT or University admission test with 50% marks is required. Interview or departmental review may also be applied according to University policy.

Candidates from eligible but non-standard computing-related backgrounds may be considered, but they may need deficiency or transition coursework before MSCS coursework. The deficiency is determined using the core CS courses of BSCS.

Yes. Foreign, non-standard, or equivalent qualifications must be verified through the relevant equivalence authority and the University admission process before final admission confirmation.

Credit transfer may be considered under University rules, subject to recognized institution status, course matching, minimum grade requirements, maximum transfer limits, and departmental approval.

The normal duration is two years, delivered over four regular semesters. The University may apply approved academic, enrollment, maximum duration, and completion rules where relevant.

The HEC MSCS degree requirement is 30 credit hours, including coursework, electives, and thesis/project work.

The MSCS degree requirement is 30 credit hours. Fehm-e-Quran I and II are University additional requirements of 1 credit hour each where applicable, so the student-facing roadmap may show 32 registered credit hours.

The selected general MSCS elective basket is Cloud Computing, Advanced Topics in Machine Learning, and Big Data and Analytics. These electives keep the program broad, modern, and market-relevant without making the degree a separate specialization.

Yes. The roadmap includes 6 credit hours of thesis/project work. It is completed under supervision and should follow approved research design, ethical practice, academic writing standards, evaluation procedures, and University rules.

The current semester fee for MS Computer Science is Rs. 125,000 per semester. Application, registration, and other approved charges may be charged separately according to the official admission system and University fee schedule where applicable.