BS Computer Science

Home >> Academics >> Faculty of Computing and Information Technology >> Information Engineering Technology >> BS Computer Science

BS Computer Science

Computer science is the study of the theory, experimentation, and engineering that form the basis for the design and use of computers. It is the scientific and practical approach to computation and its applications and the systematic study of the feasibility, structure, expression, and mechanization of the methodical procedures (or algorithms) that underlie the acquisition, representation, processing, storage, communication of, and access to information [ref WordNet Princeton definition]. Computer Science is the application of a systematic, disciplined, and quantifiable approach to the design, development, operation, and maintenance of software systems. It is in fact the practice of designing and implementing large, reliable, efficient, and economical software by applying the principles and practices of engineering. The program aims to train students in all aspects of software life cycle from specification through analysis and design to testing, maintenance and evaluation of software product.

Program Mission

To produce graduates that are technically strong, theoretically and practically skilled, and capable of solving challenging problems with high morals.

Program Educational Objectives (PEOs)

PEO 1: Able to understand and analyze core principles and practices of computing to solve problems.

PEO 2: Develop skills to design and implement practical solutions in the computer science domain.

PEO 3: Practice societal responsibilities and adhere to legal and ethical frameworks.

PEO 4: Continuous improvement to prepare students for jobs/higher studies in computer science and related fields.

Program Learning Outcomes (PLOs)

The Department adopted all Graduate Attributes (GAs) for BS Computer Science Program defined in Seoul Accord as Program Learning Outcomes.

1. Academic Education: To prepare graduates as computing professionals

2. Knowledge for Solving Computing Problems: Apply knowledge of computing fundamentals, knowledge of a computing specialization, and mathematics, science, and domain knowledge appropriate for the computing specialization to the abstractions and conceptualization of computing models from defined problems and requirements.

3. Problem Analysis: Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.

4. Design / Development of Solutions: Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.

5. Modern Tool Usage: Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.

6. Individual and Team Work: Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings.

7. Communication: Communicate effectively with the computing community and with society at large about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.

8. Computing Professionalism and Society: Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice.

9. Ethics: Understand and commit to professional ethics, responsibilities, and norms of professional computing practice.

10. Life-long Learning: Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.

Career Opportunities

  • Artificial intelligence and machine learning engineer
  • Information security officer
  • Cloud computing engineer
  • Business analyst
  • Data scientist
  • Information security analyst
  • Mobile application designer or developer
  • Systems analyst
  • Research and development (R&D) scientist
  • Software developer
  • Database administrator
  • Web developer
  • Game designer
  • Games developer
  • Software quality assurance manager
  • Software tester
  • Forensic computer analyst
  • Computer scientist or computer science researcher

Our Faculty

Dr. Saud Altaf

Professor and Chairperson

Dr. Hussain Dawood

Associate Professor

Dr. M. Bilal Shahnawaz

Assistant Professor

Dr. Shahid Anwar

Assistant Professor

Ms. Huma Israr


Engr. Afifa Zafar


Engr. Shahzad Ahmad Malik


Hafiz Muhammad Ghazi


Mamoona Abid


Lab Technicians

Mr. Yasir Umair Afzal

IT Technician

April 24, 2024@ 07:01 AM