BS (Computer Science)


Program Info
  1. Impart in-depth understanding of Computer Science field according to international standards
  2. Convert understanding to innovations
  3. Build diverse careers in Computer Science as productive IT professionals and entrepreneurs for the socio-economic development
  4. Prepare students for the graduate level studies and research
  5. Develop effective communication, management and leadership skills
  6. Impart professional ethics and collaborative team player abilities
Career Opportunities

Your career prospects will be excellent: You may become a software engineer, programmer, web developer, games programmer or computer graphic designer.

Award of Degree

For the award of BS (Computer Science) degree, a student must have:

  • Passed courses totalling at least 130 credit hours, including all those courses which have been specified as Core courses.
  • Obtained a CGPA of at least 2.00

Offered Campuses

Chiniot-Faisalabad Islamabad Karachi Lahore Peshawar

Eligibility:

  • At least 60% marks in SSC (Matric) or an equivalent examination (such as O-levels) AND
  • Should have studied for HSSC or an equivalent qualification, for at least two years AND
  • At least 50% marks in HSSC or an equivalent qualification AND
  • Should have EITHER
    • studied Mathematics at the HSSC or equivalent level. OR
    • pass HSSC level Mathematics exam within one year of admission (for candidates with Pre-medical background), conducted by any one of the following:
      • Local Board of Intermediate & Secondary Education
      • A recognized Foreign Board (Oxford, Cambridge, etc.)

Selection Criteria:

  • 50% weight to higher percent score of SSC (or an equivalent exam) OR HSSC (or an equivalent exam) AND
  • 50% weight to marks obtained in Admission Test
Candidates having taken NTS-NAT IE or NAT ICS exam
  • Cut-off marks in the NTS-NAT IE exam to be determined by the University
Tentative Study Plan
Sr. No Course Name Crdt Hrs.
Semester 1
1 Introduction to ICT 0+1
2 Programming Fundamentals 3+1
3 Applied Physics 3+0
4 Calculus & Analytical Geometry 3+0
5 Pakistan Studies 3+0
6 English Composition & Comprehension 2+1
Sr. No Course Name Crdt Hrs.
Semester 2
1 Object Oriented Programming 3+1
2 Digital Logic Design 3+1
3 Differential Equations 3+0
4 Islamic Studies/Ethics 3+0
5 Communication & Presentation Skills 2+1
Sr. No Course Name Crdt Hrs.
Semester 3
1 Data Structures 3+1
2 Computer Org. and Assembly Language 3+1
3 Discrete Structures 3+0
4 Linear Algebra 3+0
5 University Elective – I 3+0
Sr. No Course Name Crdt Hrs.
Semester 4
1 Database Systems 3+1
2 Operating Systems 3+1
3 Design & Analysis of Algorithms 3+0
4 Probability & Statistics 3+0
5 University Elective – II 3+0
Sr. No Course Name Crdt Hrs.
Semester 5
1 Theory of Automata 3+0
2 Computer Networks 3+1
3 Software Design and Analysis 3+0
4 Technical & Business Writing 3+0
5 Numerical Computing 3+0
Sr. No Course Name Crdt Hrs.
Semester 6
1 Software Engineering 3+0
2 Parallel & Distributed Computing 3+0
3 Artificial Intelligence 3+1
4 CS Elective I 3+0
5 CS Supporting Elective 3+0
Sr. No Course Name Crdt Hrs.
Semester 7
1 Final Year Project-I 0+3
2 Information Security 3+0
3 Professional Practices 3+0
4 CS Elective II 3+0
5 CS Elective – III 3+0
Sr. No Course Name Crdt Hrs.
Semester 8
1 Final Year Project-II 0+3
2 University Elective – III 3+0
3 CS Elective IV 3+0
4 CS Elective V 3+0
5 CS Elective VI 3+0

Note: Registration in “Project-I” is allowed provided the student has earned at least 100 credit hours, and his/her CGPA is equal to or greater than the graduating CGPA (2.0).

Program Educational Objectives (PEO)

  1. Fundamental Computing Knowledge A graduate who is performing his/her professional roles with understanding of fundamental computing knowledge acquired during his studies.
  2. Ethical and Societal Responsibilities A graduate who is fulfilling his/her professional responsibilities taking into account ethical and societal concerns.
  3. Communication Skills A graduate who is effective in oral and written communication of technical and managerial information.
  4. Leadership A graduate who is effective in a leadership role of a group/team assigned to him/her or in an entrepreneurial environment.
  5. Continuous Improvement A graduate who keeps on exploring new fields and areas in computing for his/her organization or conduct research for academic pursuits.

Program Learning Outcomes (PLOs)

  1. Computing Knowledge Apply knowledge of mathematics, natural sciences, computing fundamentals, and a computing specialization to the solution of complex computing problems.
  2. Problem Analysis Identify, formulate, research literature, and analyze complex computing problems, reaching substantiated conclusions using first principles of mathematics, natural sciences, and computing sciences.
  3. Design/Develop Solutions Design solutions for complex computing problems and design systems, components, and processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
  4. Investigation & Experimentation Conduct investigation of complex computing problems using research based knowledge and research based methods.
  5. Modern Tool Usage Create, select, and apply appropriate techniques, resources and modern computing tools, including prediction and modelling for complex computing problems.
  6. Society Responsibility Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues relevant to context of complex computing problems.
  7. Environment and Sustainability Understand and evaluate sustainability and impact of professional computing work in the solution of complex computing problems.
  8. Ethics Apply ethical principles and commit to professional ethics and responsibilities and norms of computing practice.
  9. Individual and Team Work Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings.
  10. Communication Communicate effectively on complex computing activities with the computing community and with society at large.
  11. Project Management and Finance Demonstrate knowledge and understanding of management principles and economic decision making and apply these to one's own work as a member or a team.
  12. Lifelong Learning Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological changes.