KSBL BS Computer Science

The newly launched Bachelor’s in Computer Science program at KSBL is designed to train students to become business-savvy technology managers with expertise in the back-end operations. The program offers a comprehensive industry-driven curriculum that focuses on skill development, ensuring students are equipped with the necessary knowledge and abilities to excel in the field. With a future-ready technology education that covers programming, IT, software engineering, cyber security, networks, AI, and analytics, students are prepared to navigate the ever-evolving technological landscape. The program also fosters an entrepreneurial mindset, encouraging students to explore the realm of technopreneurship. Graduates of this program will have endless professional opportunities available to them, with a wide range of career paths in various industries. Students will have the opportunity to learn from top faculty members who bring their expertise and industry insights to the classroom, providing a transformative learning experience.

 

Program Objectives:

 

  1. Able to use contemporary computer science technologies to design and implement innovative solutions to emerging industry demands.
  2. Able to communicate effectively and utilize critical thinking, problem-solving, teamwork, and other skills for decision-making.
  3. Assume societal responsibility in managerial and entrepreneurial undertakings and demonstrate the highest standards of character and good manners encompassing truthfulness, trustworthiness, humility, integrity, and striving in times of hardship.
  4. Capable of continuing professional development to maintain pace with the latest computing technology demands.

 

 

Program Learning Outcomes:

 

Upon completion of a BS in Computer Science, students will be able to:

 

Program Learning

Outcomes (PLOs)

Computing Professional Graduate

 

1.     Academic Education Understand fundamental computing concepts, theories, practices, essential soft skills, and business insights.
2.     Knowledge for Solving Computing Problems An ability to apply knowledge of algorithms, computing fundamentals, mathematics, and scientific reasoning to various computational problems.

 

3.     Problem Analysis Analyze a situation to identify one or more problems that can be resolved with computer intervention.

 

4.     Design/ Development of Solutions Ability to design, implement, and evaluate a computer-based solution of varying complexities to diverse societal problems.
5.     Modern Tool Usage Be able to select and apply appropriate techniques and modern tools for modeling complex computing problems and designing their solutions.

 

6.     Individual and Teamwork Work effectively individually or as a team to develop and deliver quality solutions to computing problems.

 

7.     Communication Communicate written and oral with various audiences.

 

8.     Computing Professionalism and Society Ability to apply reasoning informed by contextual knowledge to assess societal, legal, and cultural issues and analyze their impact in all assessment areas.

 

9.     Ethics Demonstrate an understanding of social responsibility and demonstrate character strengths such as truthfulness, trustworthiness, humility, integrity, and striving in times of hardship in decision-making.
10.  Life-long Learning Investigate new methodologies and technologies for lifelong learning and professional growth, and recognize the need for, and ability to engage in, independent learning for continuous progress as a computing professional.

 

Why BS Computer Science at KSBL?

After completing this degree, graduates can pursue various careers in business industry, such as software developer, computer programmer, data analyst, web developer, network administrator, and systems analyst. They can also choose to pursue further education by enrolling in a master’s or doctoral program in computer science or a related field.

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BS Computer Science Curriculum

Prepare to be a thought leader in the world of Computer Science
– Coherent business driven curriculum
– Taught by internationally diverse faculty
– Excellent global employment prospects
– Technopreneurship-ready in 4 years!

CURRICULUM

1

Semester I

  • Programming Fundamentals
  • Freshman English
  • Application of Information & Communication Technologies
  • Islamic Studies
  • Ideology and Constitution of Pakistan
  • Linear Algebra
  • Foundation Mathematics I
2

Semester II

  • Object-Oriented Programming
  • Digital Logic Design
  • Calculus & Analytical Geometry
  • Applied Physics
  • Discrete Structures
  • Foundation Mathematics II
  • Reading and Writing Skills
3

Semester III

  • Data Structures
  • Computer Organization and Assembly Language
  • Software Engineering
  • Entrepreneurship
  • Civic and Community Engagement
  • Oral Communication & Public Communication Skills
  • General Psychology
4

Semester IV

  • Operating Systems
  • Database Management Systems
  • Information Security
  • Theory of Automata
  • Probability and Statistics
  • Consulting and Professional Practices
5

Semester V

  • Artificial Intelligence
  • Computer Networks
  • Design and Analysis of Algorithm
  • Multivariate Calculus
  • CS Elective I
6

Semester VI

  • Human Computer Interaction
  • Computer Architecture
  • Compiler Construction
  • CS Elective II
  • CS Elective III
  • Principles of Marketing
7

Semester VII

  • FYP I
  • Internship
  • CS Elective IV
  • CS Elective V
  • Formal and Business Writing
8

Semester VIII

  • FYP II
  • Parallel and Distributed Computing
  • Advanced Database Management Systems
  • CS Elective VI
  • CS Elective VII
Course offerings are subject to change on the recommendation of Academic Committee.

ELECTIVES

1

Data Science

  • Data Science Fundamentals
  • Programming for Data Science
  • Big Data Analytics
  • Optimization Techniques and Algorithms
  • Geographic Information Systems and Applications
  • Data Warehousing and Data Mining
2

Programming

  • Theory of Programming Languages
  • Advanced Programming
  • R Programming
  • Computational Intelligence
  • Computational Linguistics
3

Computer Systems

  • Real Time Systems
  • Introduction to Robotics and ROS
  • Introduction to Blockchain
  • IoT Systems and Applications
  • Wireless Communication
  • Embedded Systems
  • Fault Tolerant Systems
4

Software Engineering

  • Management Information System
  • System Analysis and Design
  • Software Testing and Quality Assurance
  • Software Requirement Engineering
  • Mobile Application Development
  • Web Development
  • Game Development
  • Dev Ops Project Management
5

AI and Machine Learning

  • AI for Decision Making
  • Machine Learning
  • Computational Neuroscience
  • Natural Language Processing
  • Deep Learning
6

Computing

  • Modeling and Simulation
  • Cloud Computing
  • Quantum Computing
7

Security

  • Network Security
  • Cyber Security
  • Digital Forensics
  • Cyber Law and Cyber Crime
8

Graphics and Computer Vision

  • Computer Vision
  • Digital Image Processing
  • Computer Graphics and Imaging
  • Virtual Reality Systems
9

Miscellaneous

  • Numerical Analysis
  • Data Analysis and Modeling
  • E-Commerce and Solutions
  • Introduction to Fintech
  • Business Intelligence and Analytics
  • Advanced Topics in Computer Science
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More Information

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PABX: +92 (21) 38771999

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