Computer science is the study of the theory, experimentation, and engineering that form the basis for the design and use of computers. It is the scientific and practical approach to computation and its applications and the systematic study of the feasibility, structure, expression, and mechanization of the methodical procedures (or algorithms) that underlie the acquisition, representation, processing, storage, communication of, and access to information.

Computer Science is the application of a systematic, disciplined, and quantifiable approach to the design, development, operation, and maintenance of software systems. It is in fact the practice of designing and implementing large, reliable, efficient, and economical software by applying the principles and practices of engineering. The program aims to train students in all aspects of software life cycle from specification through analysis and design to testing, maintenance and evaluation of software products.

Computer Science spans a wide range, from its theoretical and algorithmic foundations to cutting- edge developments in robotics, computer vision, intelligent systems, bioinformatics, and other exciting areas. The overall scope of Computer Science may be viewed into the following three categories:

  • To develop effective ways to solve computing problems. For example, Computer Science develops the best possible ways to store information in databases, send data over networks, and display complex images. The theoretical background offered by Computer Science allows determining the best performance possible, and their study of algorithms. It enables to develop new problem-solving approaches that provide better performance.
  • It devises new ways to use computers intelligently and effectively. Progress in the areas of networking, database, and human-computer-interface came together as a result of the world-wide- web, which changed the entire world. Now, researchers are working to make robots that are practical aides and demonstrate intelligence, databases that create new knowledge and, in general, use computers to do new things.
  • It deals with the design and implementation of software systems. Computer Science provides training and skills for the successful implementation of software systems that solve challenging Programming jobs. Computer Science spans the range from theory to models, design and programming. Computer Science offers a comprehensive foundation that permits graduates to adapt to new technologies and new ideas.

Program Structure

The Bachelor of Science in Computer Science (BSCS) combines a solid core of computer science courses as well as an understanding and appreciation for arts, humanities, and social sciences, and their importance in today’s society. This is a 4-year degree program, which aims to enable students to apply scientific and engineering methodologies to the analysis of problems and the design, implementation, and evaluation of computer-based solutions. At the same instance, it attempts to utilize the breadth and depth of theoretical computer science and mathematics to emerging-technologies and the ever-changing needs of industry as well as the cutting edge of computer science research.

Eligibility Criteria

  • FA/F. Sc or Equivalent qualifications with at least second division, securing 50% marks in aggregate.
  • The students who have not studied Mathematics at intermediate level must pass deficiency courses of Mathematics of 6 credit hours within one year of their regular studies.
  • Qualifying for the admission test and interview is compulsory. A candidate scoring less than 40% marks in the test and interview will stand disqualified for admission.
  • Candidates who have secured at least 40% in the NTS-NAT are also eligible to apply.
  • The merit of a candidate shall be measured by a 50 % weight age to the marks obtained in HSC or equivalent, 40 % to the marks obtained in the written test, and 10% to the marks obtained in the interview.
  • A candidate shall be given a special credit of thirty marks for admission in each program mentioned above if he/she has studied Computer Science and/or statistics at intermediate level (for BS Data Science program only) at intermediate level or has done A level.
  • The Hafiz Quran shall be given a special credit of 20 marks.
  • The credit marks shall be added to the marks obtained at HSC or equivalent, subject to fulfilment of basic eligibility criteria of 50% marks.

Degree Requirements

For a BSCS   4-year degree, a student is required to complete a minimum of 130-140 credit hours including a 6-credit hour research thesis/project. The normal duration for completion of BSCS degree is 8 semesters over a period of 4 years. The maximum duration for obtaining BSCS degree shall be 7 years.

Program Educational Objectives (PEOs) for BSCS:

PEO 1: To Provide students with theocratical and practical Computer Science knowledge in order to responsibly apply and practice in wide variety of domains.
PEO 2: To inculcate the ability in its students to continue enhancing their computing knowledge and skills after graduation and excel in their careers as researchers, professionals, and entrepreneurs.
PEO 3: To groom its students to communicate effectively, demonstrate leadership qualities and professional integrity.
PEO 4: To groom its students to be effective, after graduation, in society and diverse professional environments maintaining high ethical standards.

Graduate Attributes (GAs) for BS Computer Science Program

The Graduates Attributes (GAs) are exemplars of the qualities and attributes expected of a graduate from an accredited program. Graduates Attributes (GAs) are the components indicative of the graduate’s potential to acquire competence to practice at the appropriate level.
The following GAs for undergraduate computing programs has been adopted from the Seol Accord as recommended by the National Computing Education Accreditation Council (NCEAC).

GA 1: Gain an understanding of the underpinning theories of fundamental principles and technologies within the area of computer science (Academic education).
GA 2: 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 (Knowledge for Solving Computing Problems).
GA 3: Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines (Problem Analysis).
GA 4: 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 (Design/ Development of Solutions)
GA 5: Create, select, adapt, and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations (Modern Tool Usage)
GA 6: Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings (Individual and Teamwork)
GA 7: Communicate effectively with the computing community and with society about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions (Communication)
GA 8:  Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice (Computing Professionalism and Society)
GA 9:  Understand and commit to professional ethics, responsibilities, and norms of professional computing practice (Ethics)
GA 10: Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional (Life-long Learning)

Curriculum Model for Bachelor of Science in Computer Science

The generic structure for computing degree program given before is mapped with the BSCS program in the following tables.

Structure for BS Computer Science Program

Areas

Credit Hours

Courses

Computing Core

46

14

Domain Core

18

6

Domain Elective

21

7

Mathematics & Supporting Courses

12

4

Elective Supporting Courses

3

1

General Education Requirement

30

12

Totals

130

44

Mapping of BSCS Program on the Generic Structure:

#

Sem # Code Pre- Reqs Course Title

Domain Cr

Cr.Hr

Computing Core (46/130) 14 Courses

1

CS1xx Programming Fundamentals

Core

4 (3-3)

2

CS1xx PF Object Oriented Programming

Core

4 (3-3)

3

CS1xx Database Systems

Core

4 (3-3)

4

CS1xx Digital Logic Design

Core

3 (2-3)

5

CS2xx OOP Data Structures

Core

4 (3-3)

6

CS2xx Information Security

Core

3 (2-3)

7

CS2xx Artificial Intelligence

Core

3 (2-3)

8

CS2xx Computer Networks

Core

3 (2-3)

9

CS2xx Software Engineering

Core

3 (3-0)

10

CS2xx DLD Computer Organization & Assembly Language

Core

3 (2-3)

11

CS3xx Operating Systems

Core

3 (2-3)

12

CS4xx DS Analysis of Algorithms

Core

3 (3-0)

13

CS4xx Final Year Project – I

Core

2 (0-6)

14

CS4xx FYP-I Final Year Project – II

Core

4 (0-12)

Domain Core (18/130) 6 Courses

15

CS2xx Theory of Automata

Domain Core

3 (3-0)

16

CS2xx DB Advance Database Management Systems

Domain Core

3 (2-3)

17

CS3xx HCI & Computer Graphics

Domain Core

3 (2-3)

18

CS3xx COAL Computer Architecture

Domain Core

3 (2-3)

19

CS3xx TA Compiler Construction

Domain Core

3 (2-3)

20

CS3xx OS Parallel & Distributed Computing

Domain Core

3 (2-3)

Domain Elective (21/130) 7 Courses
(Institute can add/remove courses in Domain Elective list)

21

CS3xx Web Technologies

Domain Elective

3 (2-3)

CS Simulation and Modeling

Domain Elective

3(2 -3)

22

CS3xx Mobile Application Development 1

Domain Elective

3 (2-3)

23

CS3xx OOP Advanced Programming (Old Name: Visual Programming)

Domain Elective

3 (2-3)

24

CS3xx Numerical Analysis

Domain Elective

3 (2-3)

25

CS3xx WT Web Engineering

Domain Elective

3 (2-3)

27

CS4xx Software Testing & Quality Assurance

Domain Elective

3 (2-3)

.

Mobile Application Development 2

Domain Elective

3 (2-3)

.

Cloud Computing

Domain Elective

3 (2-3)

Multimedia Technologies

CS3xx Machine Learning

Domain Elective

3 (2-3)

Mathematics & Supporting Courses (12/130) 4 Courses

28

MT1xx CAG Multivariable Calculus

Maths

3 (3-0)

29

MT1xx CAG Linear Algebra

Maths

3 (3-0)

30

MT2xx Probability & Statistics

Maths

3 (3-0)

31

EW4xx ECC Technical & Business Writing

EW

3 (3-0)

Elective Supporting Courses (3/130) 1 Course

32

SS1xx Social Science (Example: Introduction to Marketing)

SS

3 (3-0)

SS1xx Social Science (Example: Financial Accounting)

SS

3 (3-0)

General Education Requirement as per HEC UG Education Policy (30/130) 12 Courses

33

GE1xx Application of Information & Communication Technologies

GER

3 (2-3)

34

GE1xx Functional English

GER

3 (3-0)

35

GE1xx ECC Expository Writing

GER

3 (3-0)

36

GE1xx Quantitative Reasoning – 1 (Discrete Structures)

GER

3 (3-0)

37

GE1xx Quantitative Reasoning – 2 (Calculus and Analytic Geometry)

GER

3 (3-0)

38

GE2xx Islamic Studies

GER

2 (2-0)

39

GE4xx Ideology and Constitution of Pakistan

GER

2 (2-0)

40

GE2xx Social Sciences (Example: Introduction to Management)

GER

2 (2-0)

41

GE2xx Natural Sciences (Applied Physics)

GER

3 (2-3)

42

GE4xx Arts & Humanities (Professional Practices)

GER

2 (2-0)

43

GE4xx Civics and Community Engagement

GER

2 (2-0)

44

GE4xx Entrepreneurship

GER

2 (2-0)

Semester/Study Plan for BS Computer Science

#

Code

Pre-Reqs

Course Title

Domain

Cr.Hr (Cont. Hr)

Semester 1

1

CS1xx

Programming Fundamentals

Core

4 (3-3)

2

GE1xx

Application of Information & Communication Technologies

GER

3 (2-3)

4

GE1xx

Calculus and Analytic Geometry – QR 1

GER

3 (3-0)

5

GE1xx

Functional English

GER

3 (3-0)

22

GE2xx

Islamic Studies

GER

2 (2-0)

Total Cr Hrs

15 (13-6)

Semester 2

6

CS1xx

PF

Object Oriented Programming

Core

4 (3-3)

20

GE2xx

Applied Physics — Natural Science

GER

3 (2-3)

10

MT1xx

CAG

Linear Algebra

Maths

3 (3-0)

42

GE4xx

Ideology and Constitution of Pakistan

GER

2 (2-0)

21

GE1xx

Expository Writing

GER

3 (3-0)

28

GE2xx

Social Science Course

GER (SS)

2 (2-0)

Total Cr Hrs

17 (15-6)

Semester 3

11

CS2xx

OOP

Data Structures

Core

4 (3-3)

23

CS3xx

Operating Systems

Core

3 (2-3)

3

GE1xx

Discrete Structures – QR 2

GER

3 (3-0)

9

MT1xx

CAG

Multivariable Calculus

Maths

3 (3-0)

44

GE4xx

Civics and Community Engagement

GER

2 (2-0)

8

CS1xx

Digital Logic Design

Core

3 (2-3)

Total Cr Hrs

18 (15-9)

Semester 4

36

CS4xx

DS

Analysis of Algorithms

Core

3 (3-0)

17

CS2xx

DLD

Computer Organization & Assembly Language

Core

3 (2-3)

7

CS1xx

Database Systems

Core

4 (3-3)

16

MT2xx

Probability & Statistics

Maths

3 (3-0)

15

CS2xx

Software Engineering

Core

3 (3-0)

13

CS2xx

Artificial Intelligence

Core

3 (2-3)

Total Cr Hrs

19 (16-9)

Semester 5

14

CS2xx

Computer Networks

Core

3 (2-3)

19

CS2xx

DB

Domain Core 1

Domain Core

3 (2-3)

24

CS3xx

Domain Core 2

Domain Core

3 (2-3)

25

CS3xx

COAL

Domain Core 3

Domain Core

3 (2-3)

39

EN4xx

Technical & Business Writing

EN

3 (3-0)

43

GE4xx

Professional Practices — Arts & Humanities

GER

2 (2-0)

Total Cr Hrs

17 (13-12)

Semester 6

18

CS2xx

Domain Core 4

Domain Core

3 (3-0)

12

CS2xx

Information Security

Core

3 (2-3)

26

CS3xx

Domain Elective 1

Domain Elective

3 (2-3)

27

CS3xx

Domain Elective 2

Domain Elective

3 (2-3)

38

SS1xx

Social Science Course

SS

3 (3-0)

40

GE4xx

Entrepreneurship

GER

2 (2-0)

Total Cr Hrs

17 (14-9)

Semester 7

35

CS4xx

Final Year Project – I

Core

2 (0-6)

31

CS3xx

Domain Elective 3

Domain Elective

3 (2-3)

32

CS3xx

Domain Elective 4

Domain Elective

3 (2-3)

33

CS3xx

Domain Elective 5

Domain Elective

3 (2-3)

29

CS3xx

TA

Domain Core 5

Domain Core

3 (2-3)

Total Cr Hrs

14 (8-18)

Semester 8

41

CS4xx

Final Year Project – II

Core

4 (0-12)

30

CS3xx

OS

Domain Core 6

Domain Core

3 (2-3)

34

CS3xx

Domain Elective 6

Domain Elective

3 (2-3)

37

CS4xx

Domain Elective 7

Domain Elective

3 (2-3)

Total Cr Hrs

13 (6-21)