Scheme of Studies
· May change from time to time as per guidelines / recommendations of HEC NCRC, NCEAC and University Statutory Bodies
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Semester I (18) |
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Semester II (17) |
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Semester III (18) |
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Semester IV (17) |
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Semester V (18) |
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Semester VI (16) |
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Semester VII (15) |
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Semester VIII (14) |
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CS-101 4 (3-1) |
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CS-104 4 (3-1) |
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CS-206 4 (3-1) |
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CS-209 3 (3-0) |
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CS-312 3 (2-1) |
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CS-316 3 (3-0) |
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CS-421 3 (3-0) |
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SS-406 2 (2-0) |
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Programming Fundamentals |
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Object Oriented Programming |
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Data Structure and Algorithms |
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Design and Analysis of Algorithms |
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Web Design and Development |
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Theory of Automata |
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Compiler Construction |
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**Foreign Languages |
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PH-101 3 (3-0) |
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CS-105 4 (3-1) |
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CS-207 4 (3-1) |
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CS-210 3 (3-0) |
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CS-313 4 (3-1) |
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CS-317 3 (2-1) |
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MG-401 3 (3-0) |
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CS-423 3(3-0) |
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Applied Physics |
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Digital Logic Design |
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Computer Organization and Assembly Language |
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Computer Architecture |
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Operating Systems |
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Wireless Networks |
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Financial Accounting |
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Parallel and Distributed Computing |
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SS-101 2 (2-0) |
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EG-102 3 (3-0) |
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EG-203 3 (3-0) |
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SS-202 3 (3-0) |
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CS-314 4 (3-1) |
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CS-318 4 (3-1) |
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CS-422 3 (3-0) |
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MG-402 3 (3-0) |
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Islamic Studies / *Ethics |
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Technical and Business Writing |
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Communication and Presentation Skills |
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Psychology |
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Computer Networks |
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Artificial Intelligence |
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Digital Image Processing |
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Human Resource Management |
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EG-101 3 (3-0) |
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MT-101 3 (3-0) |
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MT-203 3 (3-0) |
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SS-203 2 (2-0) |
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CS-315 3 (3-0) |
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CS-319 3 (3-0) |
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SS-405 3 (3-0) |
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CS-424 3 (3-0) |
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English Composition and Comprehension |
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Calculus and Analytical Geometry |
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Linear Algebra |
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Pakistan Studies |
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Software Engineering |
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Object Oriented Analysis and Design |
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Professional Practices |
Information Security |
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CS-102 3 (3-0) |
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MT-102 3 (3-0) |
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CS-208 4 (3-1) |
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MT-204 3 (3-0) |
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MT-305 3 (3-0) |
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CS-320 3 (3-0) |
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CS-425 3 (0-3) 3 (0-3) |
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Discrete Structures |
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Probability and Statistics |
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Database Systems |
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Multivariate Calculus |
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Differential Equations |
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Numerical Computing |
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Final Project (Part I) |
Final Project (Part II) |
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CS-103 3 (2-1) |
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CS-211 3 (3-0) |
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SS-304 1 (1-0) |
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Introduction to Information and Communication Technologies |
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Distributed Database Systems |
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Social Service |
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* For Non-Muslims ** Any foreign language subject to the availability of suitable person and approval of Department of Computer Science |
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MS Computer Science
The MS Computer Science is a two year Degree Program, comprising of 31 Credit Hours.
Learning Objectives: Following are the learning objectives
· To produce quality graduates equipped with a focused depth of a specialized domain of computing knowledge
· To develop a strong and critical reasoning necessary for research
· To establish effective communication and interpersonal skills in the graduates
Outcomes: Following are expected outcomes
· The program will prepare such professional as to uplift the economic situation of the country
· The program will strengthen the foundations for further learning and research
· The program will produce graduates with convincing capabilities
Eligibility Criteria for MS Computer Science:
BSCS (4 Years) or B. Sc. Computer Science (Hons.) (4 Years) or MCS or MIT or M. Sc. Computer Science or Equivalent. Equivalence must be from HEC.
Scheme of Studies:
· May change from time to time as per guidelines / recommendations of HEC NCRC, NCEAC and University Statutory Bodies
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Semester I (12) |
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Semester II (12) |
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Semester III (04) |
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Semester IV (03) |
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CS-501 3 (3-0) |
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CS-5XX 3 (3-0) |
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CS-605 1 (1-0) |
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Theory of Automata II |
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Elective - I |
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Research Methodology |
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CS-502 3 (3-0) |
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CS-5XX 3 (3-0) |
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CS-606 3 (0-3) 3 (0-3) |
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Advanced Analysis of Algorithm |
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Elective - II |
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Thesis (Part I) |
Thesis (Part II) |
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CS-503 3 (3-0) |
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CS-5XX 3 (3-0) |
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Advanced Operating Systems |
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Elective - III |
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CS-504 3 (3-0) |
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CS-5XX 3 (3-0) |
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Advanced Computer Architecture |
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Elective - IV |
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Specialization / Elective Courses:
· May be offered subject to availability of regular resource person and fulfillment of minimum class size requirements
1. Advanced Image Processing (CS-505)
2. Advanced Computer Vision (CS-506)
3. Machine Learning (CS-507)
4. Advanced Computer Networks (CS-508)
5. Advanced Network Security (CS-509)
6. Wireless and Mobile Computing Networks (CS-510)
7. Software Quality Assurance (CS-511)
8. Requirement Engineering (CS-512)
9. Software Design (CS-513)
10. Software Architecture (CS-514)
11. Decision Support Technologies (CS-515)
12. Internet of Things (CS-516)
13. Deep Learning (CS-517)
14. Agile Software Development (CS-518)
15. Agent Based Modeling (CS-519)
16. Complex Network (CS-520)
17. Component Based Software Engineering (CS-521)
18. Human Computer Interaction (CS-522)
PhD Computer Science
The PhD Computer Science Degree Program comprises of 18 Credit Hours of Course Work, and Research Work.
Learning Objectives: Following are the learning objectives
· To produce quality researchers equipped with strong analytical capabilities
Outcomes: Following are expected outcomes
· The program will prepare such researchers who will uplift the socio economic situation of the country
Eligibility Criteria for PhD Computer Science:
Minimum CGPA 3.0 (out of 4.0 in the Semester System) or 1st Division (in the Annual System) in MS / M.Phil / Equivalent degree in Computer Science. Equivalence must be from HEC.
Scheme of Studies:
· May change from time to time as per guidelines / recommendations of HEC NCRC, NCEAC and University Statutory Bodies
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Semester I (09) |
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Semester II (09) |
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CS-7XX 3 (3-0) |
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CS-7XX 3 (3-0) |
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Elective - I |
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Elective - IV |
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CS-7XX 3 (3-0) |
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CS-7XX 3 (3-0) |
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Elective - II |
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Elective - V |
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CS-7XX 3 (3-0) |
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CS-7XX 3 (3-0) |
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Elective - III |
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Elective - VI |
Specialization / Elective Courses:
· May be offered subject to availability of regular resource person and fulfillment of minimum class size requirements
1. 3D Modeling and Reconstruction (CS-701)
2. Image Compression and Rendering (CS-702)
3. Pattern Recognition (CS-703)
4. Geographical and Satellite Imaging (CS-704)
5. Digital Video Processing (CS-705)
6. Computer Visualization and Animation (CS-706)
7. Game Theory (CS-707)
8. Nano Communication Networks (CS-708)
9. Optimization Techniques (CS-709)
10. Smart Grid (CS-710)
11. Data Collection and Analysis Techniques (CS-711)
12. Data Warehousing & Data Mining (CS-712)
13. Knowledge Management and Information Retrieval (CS-713)
14. Advance Requirement Engineering (CS-714)
15. Agents based Software Engineering (CS-715)
16. Architectures for Software Systems (CS-716)
17. Evidence Based Software Engineering (CS-717)
18. Service Oriented Computing (CS-718)
19. Software Engineering Economics (CS-719)
20. Stochastic Processes (CS-720)
21. Big Data Analytics (CS-721)