8‑Semester Academic Roadmap
Your complete journey from foundation to capstone — each semester is structured with major, GE, and interdisciplinary courses
Year 1 · Foundation
Year 2 · Core
Year 3 · Specialization
Year 4 · Capstone
Semester 1
18 cr
- Programming FundamentalsMajor
- Quantitative Reasoning IGE
- Functional EnglishGE
- Application of ICTGE
- Social SciencesGE
- Calculus & Analytical GeometryIDS
Semester 2
19 cr
- Object Oriented ProgrammingMajor
- Digital Logic DesignMajor
- Quantitative Reasoning IIGE
- Arts & HumanitiesGE
- Pakistan StudiesGE
- Linear AlgebraIDS
Semester 3
19 cr
- Data StructuresMajor
- Database SystemsMajor
- Operating SystemsMajor
- Expository WritingGE
- Natural Sciences (Physics)GE
Semester 4
17 cr
- Software EngineeringMajor
- Computer Org. & ArchitectureMajor
- Design & Analysis of AlgorithmsMajor
- EntrepreneurshipGE
- Islamic Studies / EthicsGE
- Ideology & Const. of PakistanGE
Semester 5
18 cr
- Computer NetworksMajor
- Information SecurityMajor
- Artificial IntelligenceMajor
- Theory of AutomataMajor
- IDS Elective IIIIDS
- IDS Elective IVIDS
Semester 6
15 cr
- Cloud ComputingMajor
- Elective I (Specialization)Major
- Elective II (Specialization)Major
- Elective III (Specialization)Major
- Elective IV (Specialization)Major
Semester 7
16 cr
- Elective V (Advanced)Major
- Elective VI (Advanced)Major
- Elective VII (Advanced)Major
- Elective VIII (Advanced)Major
- Professional CertificationCert
Semester 8
9 cr
- Final Year Project (FYP)FYP
- Field Experience / InternshipIntern
FYP Requirements
6 credit hours · Min 150 internship hours · SDG-aligned capstone project · Faculty mentorship
Year 1
Year 2
Year 3
Year 4
Major (CS Core)
General Education
Interdisciplinary (IDS)
FYP / Capstone
Certification
Curriculum aligned with HEC & modern industry standards — electives vary by specialization track
130
Total Credits
08
Total Credits
14
Specializations
48
Core Credits
Credit Hours Distribution
Semesters in CS
No Data Found
Graduate Attributes (GAs)
GA 01
Academic Education
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GA 01
Academic Education
To prepare graduates as competent Computer Science professionals ready for industry and research.
GA 02
Knowledge for Solving Problems
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GA 02
Knowledge for Solving Computing Problems
Apply knowledge of CS, mathematics, science and domain knowledge to conceptualize CS models from defined problems.
GA 03
Problem Analysis
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GA 03
Problem Analysis
Identify, formulate, research literature, and solve complex CS problems using fundamental principles of mathematics and computing sciences.
GA 04
Design / Development of Solutions
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GA 04
Design / Development of Solutions
Design and evaluate solutions for complex CS problems with consideration for public health, safety, cultural, societal and environmental factors.
GA 05
Modern Tool Usage
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GA 05
Modern Tool Usage
Create, select, adapt and apply appropriate techniques, resources and modern computing tools to complex CS activities with understanding of their limitations.
GA 06
Individual and Team Work
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GA 06
Individual and Team Work
Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings.
GA 07
Communication
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GA 07
Communication
Communicate effectively about complex computing activities by writing effective reports, design documentation, presentations, and giving clear instructions.
GA 08
CS Professionalism & Society
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GA 08
CS Professionalism & Society
Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts relevant to professional CS practice.
GA 09
Ethics
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GA 09
Ethics
Understand and commit to professional ethics, responsibilities, and norms of professional Computer Science practice.
GA 10
Life-long Learning
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GA 10
Life-long Learning
Recognize the need and have the ability to engage in independent learning for continual development as a CS professional.
Program Curriculum
Explore core courses, general education requirements, and eligibility criteria
01
Programming Fundamentals
02
Object Oriented Programming
03
Database Systems
04
Digital Logic Design
05
Data Structures
06
Information Security
07
Artificial Intelligence
08
Computer Networks
09
Software Engineering
10
Computer Org. & Architecture
11
Operating Systems
12
Design & Analysis of Algorithms
13
Theory of Automata
14
Cloud Computing
Total: 48 credit hours · All 14 courses are mandatory for every BS(CS) student
GE1
Functional English
GE2
Expository Writing
GE3
Quantitative Reasoning I
GE4
Quantitative Reasoning II
GE5
Applications of ICT
GE6
Natural Sciences (Applied Physics)
GE7
Social Sciences (Intro to Mgmt.)
GE8
Arts & Humanities
GE9
Islamic Studies / Ethics
GE10
Ideology & Constitution of Pakistan
GE11
Entrepreneurship
GE12
Civics & Community Engagement
GE13
Pakistan Studies
GE14
Fehm-e-Quran
Total: 34 credit hours · 14 courses · As per HEC UGE Policy V 1.1
📘 Minimum 12 Credit Hours Required
First 2 courses (Calculus & Linear Algebra) are mandatory. Choose 2 more electives.
M
Calculus & Analytical Geometry
M
Linear Algebra
E
Discrete Structures
E
Probability & Statistics
E
Project Management
E
Digital Marketing & E-Commerce
21 elective options available · Choose any 2 after the mandatory pair
Admission Requirements
▾Minimum 50% marks in Intermediate / 12 years schooling / A-Level (HSSC) or equivalent with Mathematics required for all BS Computing Programs.
Students who have not studied Mathematics at intermediate level must pass deficiency courses of Mathematics (6 credits) in the first two semesters.
Students who have not studied Mathematics at intermediate level must pass deficiency courses of Mathematics (6 credits) in the first two semesters.
Duration & Degree Award
▾- Minimum duration: 4 years (8 semesters)
- Maximum allowed: 7 years (as per HEC policy)
- Minimum 130 credit hours required for degree award
- Minimum 2.0 CGPA on a 4.0 scale required
- Students completing 4 semesters may exit with an Associate Degree in Computing
Probation Policy
▾- GPA below 2.0 but passing all papers → promoted on probation, must achieve 2.0+ next semester
- GPA 1.7–2.0 with any failure → placed on probation, must register for summer semester
- GPA below 1.7 in two consecutive semesters with failures → dropped from university rolls
Credit Hours & Course Load
▾- Regular semester load: 15–21 credit hours
- 3 credit theory = 3 classes × 1 hour per week
- 1 credit practical = 3 contact hours per week
- Semester duration: 16–18 weeks (+ 1–2 weeks exam)
- Summer/winter semesters for remedial/failure/repetition courses only
Professional Certification Requirement
▾All students must complete professional certifications equivalent to 3 credit hours as a mandatory condition for degree completion.
Each certification counts as 1 credit hour if it comprises at least 16 hours of study.
Recommended: AWS, Azure, Google Cloud, Oracle Java, Python Institute, Scrum Master, and many more.
Each certification counts as 1 credit hour if it comprises at least 16 hours of study.
Recommended: AWS, Azure, Google Cloud, Oracle Java, Python Institute, Scrum Master, and many more.
PEO 1
Adequate Domain Knowledge
Graduates possess skills to become competent application developers, database designers, systems analysts, or network administrators.
PEO 2
Critical Analysis & Problem Solution
Graduates can critically analyze problems and develop appropriate computer-based solutions by identifying computing requirements.
PEO 3
Multidisciplinary Approach
Graduates are familiar with multi-disciplinary work styles and equipped with sufficient domain knowledge of relevant disciplines.
PEO 4
Aware of State-of-the-Art Technologies
Graduates are well aware of technological advancements in CS that enable them to employ new technologies in their domains.
PEO 5
Effective Communication
Graduates can effectively communicate their ideas and work, both orally and in writing, in professional settings.
PEO 6
Ethical and Society Values
Graduates are aware of professional, ethical, legal, security, and environmental impact of their work on society.
GA – PEO alignment
Graduate Attributes (GAs) mapped to Program Educational Objectives (PEOs) — curriculum coherence
| Program Educational Objectives (PEOs) | GA1 Engineering Knowledge |
GA2 Problem Analysis |
GA3 Design/Dev. Solutions |
GA4 Investigation |
GA5 Modern Tool Usage |
GA6 Engineer & Society |
GA7 Environment & Sustain. |
GA8 Ethics |
GA9 Individual & Teamwork |
GA10 Communication |
|---|---|---|---|---|---|---|---|---|---|---|
| PEO 1 — Domain expertise | – | – | – | – | – | |||||
| PEO 2 — Critical analysis & solution | – | – | – | – | – | – | – | – | ||
| PEO 3 — Multidisciplinary integration | – | – | – | – | – | – | – | – | – | |
| PEO 4 — Modern tech & innovation | – | – | – | – | – | – | – | – | ||
| PEO 5 — Communication proficiency | – | – | – | – | – | – | – | – | ||
| PEO 6 — Ethics & societal values | – | – | – | – | – | – | – |