BSc (Hons) in Computer Science (CS)

Program Overview

Area of Specialization: Data Science, Software Engineering 

Duration: 4 years, 8 semesters

Credits: 130

Career Paths: Computer scientist, Data scientist, Game developer, Software developer, Database developer, Business Analyst, Systems analyst, Research scientist, IT educator

• Program Description

  In view of the ubiquitous presence of computers in industry, business and everyday life; ICT professionals need to possess an in-depth knowledge of computer hardware and software along with their applications. The BSc (Hons) in Computer Science program prepares CS graduates for a variety of careers that require specialized skills for designing computer-based solutions. These skills are in demand in IT departments of corporate sector or in the software industry. Graduates can pursue advanced study in computer science that involves theoretical and applied research.

  The curriculum of the Computer Science program has been designed keeping in view the recommendations of the HEC Curriculum Revision Committee. The program is spread over 4 years totaling 130 credit hours. In order to succeed, students are expected to devote themselves to a focused study of Computer Science theory, complemented by intensive lab work.

  The program has been accredited by HEC’s affiliating body NCEAC.

• Admission Requirement

  • For BSc (Hons.) in Computer Science, at least 50% marks in Intermediate (with Maths as a subject) OR Intermediate (Pre-Medical Group).
  • Equivalent qualifications are acceptable, provided an equivalence Certificate is obtained from the Inter-Board Committee of Chairmen (IBCC) Office.
  • All applicants are required to appear in an Admission Test and Interview.

• Learning Outcomes of BSc (Hons.) in Computer Science (CS)

  The learning outcomes of BS (Hons) in CS program are listed below:
  
  (a) To analyze a complex computing problem and apply principles of computing and other relevant disciplines to identify solutions.
  (b) To design, implement and evaluate a computing-based solution to meet a given set of computing requirements.
  (c) To communicate effectively in a variety of professional contexts
  (d)To recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principle.
  (e) To function effectively as a member or leader of a team engaged in activities appropriate to the discipline of Computer Science.
  
  

• Courses 

  Major courses taught in this program include Object oriented programming, Data structures, Study of algorithms, Database systems, Computer organization and assembly, Operating systems, Computer networks, Software engineering for CS, Programming fundamentals, Compiler construction, Parallel and distributed, Information security, Artificial intelligence and Professional ethics.

  • Semester I - Year I

    Course Type	Course Title	Course Code	Credit Hrs.	Pre-Req
    GE	Intro to Info. & Comm. Technologies	CSC-112	2-1	-
    GE	English Composition & Comprehension	ELU–103	3	-
    CS-E	CS- Elective - I (Creating Web Content)	CSC-111	3-1	-
    MSF	Calculus & Analytical Geometry	MTH-106	3	-
    MSF	Applied Physics	MTH-105	3	-
    GE	Pakistan Studies	SLA-102	1.5	-
    		Total	17.5	-

  • Semester II - Year I

    Course Type	Course Title	Course Code	Credit Hrs.	Pre-Req
    MSF	Probability & Statistics	MTH-201	3	-
    CC	Programming Fundamentals	CSC-115	3-1	CSC-112
    GE	Communication & Presentation Skills	ELU-104	3	ELU-103
    CS-C	Digital Logic Design	CSC-104	3-1	MTH-105
    UE	University Elective-I		3	-
    		Total	17	-

  • Semester III - Year II

    Course Type	Course Title	Course Code	Credit Hrs.	Pre-Req
    CC	Object Oriented Programming	CSC–213	3-1	CSC-115
    CS-S	CS-Supporting -I (Diff.Eqns)	MTH-204	3	MTH-106
    CC	Database Systems	CSC-202	3-1	CSC-112
    MSF	Discrete Structures	CSC-105	3	-
    UE	University Elective-II		3	-
    		Total	17

  • Semester IV - Year II

    Course Type	Course Title	Course Code	Credit Hrs.	Pre-Req
    GE	Technical & Business Writing	ELU-301	3	ELU-104
    CC	Data Structures & Algorithms	CSC-214	3-1	CSC-213
    CS-C	Comp Organization & Assembly Lang.	CSC-205	3-1	-
    MSF	Linear Algebra	MTH-203	3	-
    CS-C	Theory of Automata	CSC-402	2-1	-
    		Total	17

  • Semester V - Year III

    Course Type	Course Title	Course Code	Credit Hrs.	Pre-Req
    CS-C	Compiler Construction	CSC-312	2-1	CSC-402
    CC	Operating Systems	CSC-217	3-1	CSC-213
    CS-C	Design & Analysis of Algorithms	CSC-316	3	CSC-214
    CS-E	CS-Elective - II (Web System Dev.)	CSC-215	3	CSC-111
    CC	Software Engineering for CS	CSC-320	3	-
    		Total	16

  • Semester VI - Year III

    Course Type	Course Title	Course Code	Credit Hrs.	Pre-Req
    CS-S	CS-Supporting – II (Th. of Prog. Lang)	CSC-330	3	CSC-402
    CC	Computer Networks	CSC–209	3-1	CSC-112
    GE	Professional Practices	HUM-303	3	-
    CS-E	CS - Elective - III (Web Engineering)	CSC-324	3	CSC-215
    CS-C	Artificial Intelligence	CSC-321	3-1	CSC-105
    		Total	17

  • Semester VII - Year IV

    Course Type	Course Title	Course Code	Credit Hrs.	Pre-Req
    CS-C	Parallel & Distributed Computing	CSC-407	3	CSC-217
    UE	Univ Elective III		3	-
    CC	Information Security	CSC-305	3	CSC-209
    CS-E	CS - Elective IV		3	As Adv
    CC	Project Part 1	PRJ-403	3	90 CrHrs
    		Total	15

  • Semester VIII - Year IV

    Course Type	Course Title	Course Code	Credit Hrs.	Pre-Req
    CS-S	CS-Supporting – III (Num. Computing)	CSC-331	3	CSC-214
    CS-E	CS-Elective-V		3	As Adv
    CC	Project Part 2	PRJ-404	3	PRJ-403
    UE	Univ Elective IV		3	-
    GE	Islamic Studies	SLA-103	1.5	-
    		Total	13.5

  • Abbreviations

    Abbreviation	Course Type
    CC	Computing Core
    GE	General Education
    UE	University Elective
    MSF	Math & Science Foundation
    CS-C	CS Core
    CS-E	CS Elective
    CS-S	CS Supporting
    MBC-C	MBC Core
    MBC-E	MBC Elective

  • List of Specialization Courses - CS & SE

    Course Title	Elective Type	Credit Hrs
    Advanced Statistics	DS	3 (3-0)
    Big Data Analytics	DS	3 (2-1)
    Creating Web Content	CS/SE	4 (2-2)
    Data Mining	DS	3 (2-1)
    Data Warehouse and Business Intelligence	DS	3 (2 -1)
    Game Development	CS/SE	3 (3-0)
    Human Computer Interaction	CS/SE	3 (3-0)
    Introduction to Data Science	DS	3 (2-1)
    Machine Learning	DS	3 (2-1)
    Mobile Application Development	CS/SE	3 (3-0)
    Web Systems Development	CS/SE	3 (3-0)

    Notes: Other Elective courses may be added to the above list. In order to qualify for award of Major in Data Science (DS), a student must take at least 2 electives courses in DS and execute the Final Year Project from the area of Data Science.

  • University Elective Courses 

    Course Title	Credit Hours
    Beginners Arabic	3-0
    E-Commerce Systems	3-0
    Financials for Software Engineering	3-0
    Management for Software Engineering	3-0
    Operations Research	3-0
    Photography	3-0
    Principles of Economics	3-0
    Principles of Marketing	3-0
    Psychology	3-0
    Research and Professional Issues	3-0

    This above list is by no means exhaustive. Student may take up courses offered by other BNU Schools.

  Notes: -> (3-1) indicates 3 credit hours of Lecture and 1 Credit Hour of Lab Work.
  -> Total Credit hours in the Program are 130 (136 for students belonging to Pre-Medical Group).

• Degree Requirement

  Successful completion of 130 Credit hours (136 for students belonging to Pre-Medical Group) including project with a minimum CGPA of 2.00.