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
  • Pakistan Studies
  • Quantitative Reasoning-I
  • Linear Algebra
  • Foundation Mathematics I
2

Semester II

  • Object-Oriented Programming
  • Digital Logic Design
  • Calculus & Analytical Geometry
  • Applied Physics
  • Discrete Structures
  • Foundation Mathematics II (Only for Non-Mathematics Background Students)
  • Reading and Writing Skills
3

Semester III

  • Data Structures
  • Database Management Systems
  • Civic and Community Engagement
  • Discrete Structures
  • Oral Communication & Public Communication Skills
  • General Psychology (Social Science)
  • Quranic Teaching 1 / Comparative Study of Religions 1 (Non-Muslims)
4

Semester IV

  • Operating Systems
  • Software Engineering
  • Computer Organization and Architecture
  • International Language (Chinese etc.) (Arts and Humanities)
  • Entrepreneurship
  • Ideology and Constitution of Pakistan
  • Quranic Teaching 2 / Comparative Study of Religions 2 (Non-Muslims)
5

Semester V

  • Artificial Intelligence
  • Computer Networks
  • Design and Analysis of Algorithm
  • Information Security
  • Theory of Automata
  • Probability and Statistics
6

Semester VI

  • Cloud Computing
  • CS Elective I
  • CS Elective II
  • CS Elective III
  • CS Elective IV
7

Semester VII

  • FYP I
  • Internship/ Field Experience
  • CS Elective V
  • CS Elective VI
  • Consulting and Professional Practices
8

Semester VIII

  • FYP II
  • Professional Certification
  • CS Elective VII
  • CS Elective VIII
Course offerings are subject to change on the recommendation of Academic Committee.

ELECTIVES

1

Data Science

  • Data Science Fundamentals
  • Data Visualization and Communication
  • Big Data Fundamentals and Analytics
  • Data Mining and Data Warehousing
  • Time Series Analysis and Forecasting
  • Computational Intelligence
2

Application Engineering and Development

  • Management Information System
  • HCI and Interactive Interface Design
  • System Analysis and Design
  • Web Application Development
  • Mobile Application Development
  • Software Testing and Quality Assurance
  • Software Requirement Engineering
  • Game Development
  • Next-Gen Software & App Development
3

Artificial Intelligence and Robotics

  • Machine Learning
  • Introduction to Robotics
  • Robotics Programming and Simulation
  • Natural Language Processing
  • Foundations of Generative AI
  • Image Processing and Computer Vision
4

Systems and Security

  • Modelling and Simulations
  • Network and Cyber Security
  • Cyber Laws and Cyber Crime
  • Wireless Networks and IoT Systems
  • Blockchain Fundamentals
  • Cloud Computing
  • Ethical Hacking
  • Embedded Systems
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More Information

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