The BS Computer Science (BSCS) is a four-year professional degree program consisting of core courses in science, mathematics, programming, and computing, with specialization courses in Information & Knowledge Management, Networks & Communication, and Software Engineering. The specialization courses are offered in close collaboration with national and international software industry requirements so that the students are well prepared for changing trends and demands. Students have to complete 134 credit hours with a minimum CGPA of 2.0 to earn the degree. Modern technology is utilized to impart knowledge through lectures with the use of audiovisual aids as well as practical hands-on training in the labs and through case studies and projects.

Mission Statement

BS Computer Science program aims to provide students with an opportunity to obtain a well-founded understanding of the principles and theories of the science of computing. In addition, the curriculum is designed to provide the social and ethical values to become better citizen of society.

Program Objectives

  • The program will produce graduates with applied research, critical thinking and problem solving skills in the computing domain.
  • The program will produce professionals demonstrating excellence in providing computer based solutions to technological and business needs.
  • The program will produce graduates that are life-long learners who have a commitment to serve in the academia and/or industry.
  • The program will produce graduates that are sensitive to national and global initiatives through technological solutions.
BS(Computer Science)
Code Title Cr. Hrs Pre. Req
Semester – I
CS180 Introduction to ICT 2-0-2  
CS180L Introduction to ICT Lab 0-1-1  
CS111 Programming Fundamentals 3-0-3  
CS111L Programming Fundamentals Lab 0-1-1  
PH102 Applied Physics 3-1-4  
HU119 English Comprehension & Composition 3-0-3  
HU115 Pakistan Studies 2-0-2  
  Total 13-3-16  
Semester – II
CS164 Object-Oriented Programming 3-0 CS102
CS164L Object-Oriented Programming Lab 0-1  
Ma110 Calculus & Analytical Geometry 3-0-3  
HU120 Comm. & Presentation Skills 3-0-3 HU119
HU118/215 Islamic Studies / Ethics 2-0-2  
EE223 Digital Logic Design 3-0-3  
EE223L Digital Logic Design Lab 0-1-1  
  Total 14-2-16  
Semester – III
CS214 Data Structures & Algorithms 3-0-3 CS164
CS214L Data Structures & Algorithms Lab 0-1-1  
Ma216 Discrete Structures 3-0-3  
CS270 Professional Practices 3-0-3  
MA105 Multivariable Calculus (CS Supp.–1) 3-0-3  
CS223 Comp. Org. & Assembly Lang 3-0-3 EE222
CS223L Comp. Org. & Assembly Lang. Lab 0-1-1  
  Total 15-2-17  
Semester – IV
CS225 Operating Systems 3-0-3 CS214
CS225L Operating Systems Lab 0-1-1  
CS230 Database Systems 3-0-3 CS214
CS230L Database Systems Lab 0-1-1  
CS281 Mobile Computing (CS Elec.-1) 2-0-2  
CS281L Mobile Computing  Lab 0-1-1  
MA201 Linear Algebra 3-0-3  
MA301 Probability & Statistics 3-0-3  
  Total 14-3-17  
Semester – V
CS360 Computer Networks 3-0-3  
CS360L Computer Networks Lab 0-1-1  
CS382 Visual Programming (CS Elec.-2) 3-0-3  
CS382L Visual Programming (CS Elec.-2) Lab 0-1-1  
CS332         Design & Analysis of Algorithms 3-0-3  
MA202 Numerical analysis & Computation 3-0-3 MA105
HUxxx Interpersonal Skill/ Public Relation 3-0-3  
  Total 15-2-17  
Semester – VI
CS340 Artificial Intelligence 3-0-3 Disc. Struct.
CS340L Artificial Intelligence Lab 0-1-1  
CS371 Software Engineering 2-0-2  
CS371L Software Engineering Lab 0-1-1  
CS333 Theory of Automata 3-0-3  
CSxxx CS Elective-3 3-0-3  
CSxxx CS Elective-3 Lab 0-1-1  
CSxx CS Elective-4 3-0-3  
CS494 Final Year Project – I 0-1-1  
  Total 14-4-18  
Semester – VII
CS426 Parallel & Distributed Computing 2-0-2 CS225
CS426L Parallel & Distributed Computing Lab 0-1-1  
CS415 Information Security 3-0-3  
MA478 Graph Theory 3-0-3  
HUxxx Univ. Elective–1 (Management) 3-0-3  
HU401 Technical & Business Writing 3-0-3  
CS495 Final Year Project – II 0-2-2 CS494
  Total 14-3-17  
Semester – VIII
CS434 Compiler Construction 2-0-2 CS333
CS434L Compiler Construction Lab 0-1-1 CS333
CSxxx CS. Elec. –  5 3-0-3  
CSxxx CS. Elec. –  5 Lab 0-1-1  
HU414 Social Service (Univ. Elec.– 5) 1-0-1  
BAxx Management (Univ. Elec.– 2) 3-0-3  
EN212 Chinese (Foreign Lang)Univ. Elec.–5 3-0-3  
CS496 Final Year Project – III 0-3-3 CS495
  Total 12-5-17  
Total Credit Hours for BSCS Program = 135

At least 50% marks in Intermediate (HSSC) examination with Mathematics (200 Marks) or equivalent qualification with Mathematics, certified by IBCC.


At least 50% marks in Intermediate (HSSC) examination with Pre-Medical or equivalent qualification, certified by IBCC.

Note: Students with pre-medical must have to pass deficiency courses of Mathematics of 6 credit hours in the first two semesters.

Program Educational Objectives (PEOs)

  • PEO 1: Fundamental Computing Knowledge: Applying fundamental computing knowledge to solve real world and complex computing problems professionally.

  • PEO 2: Technological Skills: Proficient in designing, implementing, and maintaining cost-effective cutting-edge technologies by applying attained computing skills with a strong focus on innovation and entrepreneurship.

  • PEO 3: Ethical and Societal Responsibilities: Contributing positively to society through responsible behaviour, ethical conduct within the computing profession and have a keen sense of social responsibility

  • PEO 4: Communication and Leadership Skills: Having effective verbal and written communication skills required in the computing profession, as a team player or a leader to facilitate cutting-edge technical solutions for computing systems and thereby providing improved functionality

  • PEO 5: Continuous Improvement: Exploring new horizons in chosen career through habit of continuous learning, professional development and pursue an advanced degree if desired.

Program learning Outcomes (PLOs)

  • PLO 1: Academic Education : Prepare graduates having educational depth and breadth knowledge and prepare Computing professionals.

  • PLO 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 abstraction and conceptualization of computing models from defined problems and requirements.

  • PLO 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.

  • PLO 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

  • PLO 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.

  • PLO 6: Individual and Teamwork Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings.: An ability to apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice and solution to complex engineering problems.

  • PLO 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.

  • PLO 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.

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

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