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  
PH109 Physics 3-0-3  
EL100 Reading & Writing Skills 3-0-3  
HU125 Pakistan Studies and Global perspective 2-0-2  
MA100 Foundational Mathematics (Non-Credit Course for pre medical students) 4-0-4  
  Total 13-3-15  
Semester – II
CS112 Object-Oriented Programming 3-0 CS102
CS112L Object-Oriented Programming Lab 0-1  
BAxxx University Elective I (Management) 3-0-3  
EL200 Comm. & Presentation Skills 3-0-3 EL100
HU124 Islamic Studies / Ethics 2-0-2  
EE223 Digital Logic Design 3-0-3  
EE223L Digital Logic Design Lab 0-1-1  
MA113 Pre-calculus (Non-Credit Course for pre medical students) 2-0-2  
  Total 14-2-16  
Semester – III
MA301 Probability & Statistics 3-0-3  
MA110 Calculus & Analytical Geometry 3-0-3  
CS214 Data Structures & Algorithms 3-0-3 CS112,CS112L
CS214L Data Structures & Algorithms Lab 0-1-1 CS112,CS112L
CS223 Comp. Org. & Assembly Lang 3-0-3 EE223,EE223L
CS223L Comp. Org. & Assembly Lang. Lab 0-1-1 EE223,EE223L
MA216 Discrete Structures 3-0-3  
  Total 15-2-17  
Semester – IV
MA105 Multivariable Calculus 3-0-3 MA110
CS230 Database Systems 3-0-3 CS214,CS214L
CS230L Database Systems Lab 0-1-1 CS214,CS214L
MA201 Linear Algebra 3-0-3  
CS284 Visual Programming (CS Elec.-2) 3-0-3  
CS284L Visual Programming (CS Elec.-2) Lab 0-1-1  
CS281 Mobile Computing (CS Elec.-1) 2-0-2  
CS281L Mobile Computing  Lab 0-1-1  
  Total 13-3-16  
Semester – V
CS225 Operating Systems 3-0-3 CS214,CS214L
CS225L Operating Systems Lab 0-1-1 CS214,CS214L
CS332 Design & Analysis of Algorithms 3-0-3 CS214,CS214L
CS360 Computer Networks 3-0-3  
CS360L Computer Networks Lab 0-1-1  
MA221 Numerical analysis & Computation 2-0-2 MA105
MA221L Numerical analysis & Computation Lab 0-1-1 MA105
SE100 Software Engineering 3-0-3  
  Total 15-2-17  
Semester – VI
CS340 Artificial Intelligence 3-0-3 MA216
CS340L Artificial Intelligence Lab 0-1-1 MA216
EL400 Technical & Business Writing 3-0-3  
CS333 Theory of Automata 3-0-3  
CS3xx CS Elective-III 2-0-2  
CS3xxl CS Elective-III Lab 0-1-1  
CS3xx CS Elective-IV 3-0-3  
CS494 Final Year Project – I 0-1-1  
  Total 14-3-17  
Semester – VII
EL300 Interpersonal Skill/ Public Relation 3-0-3  
CS426 Parallel & Distributed Computing 2-0-2 CS225,CS225L
CS426L Parallel & Distributed Computing Lab 0-1-1 CS225,CS225L
CS415 Information Security 3-0-3  
MA478 Graph Theory 3-0-3  
CS4xx CS Elective-V 2-0-2  
CS4xx CS Elective-V Lab 0-1-1  
CS495 Final Year Project – II 0-2-2 CS494
  Total 13-4-17  
Semester – VIII
CS434 Compiler Construction 2-0-2 CS333
CS434L Compiler Construction Lab 0-1-1 CS333
HU414 Social Service (Univ. Elec.– 5) 1-0-1  
CS270 Professional Practices 3-0-3  
BAxx Univ. Elec. 2 Management 3-0-3  
FLxxx (Foreign Lang) Univ. Elec.I 2-0-2  
CS496 Final Year Project – III 0-3-3 CS495
  Total 11-4-15  
Total Credit Hours for BSCS Program = 130

At least 50% marks in Intermediate (HSSC) examination with Mathematics 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.