Syllabus

BSc Computer Science Syllabus 2025 – Semester-wise Subjects, PDF Download & Course Overview

Discover the complete BSc Computer Science syllabus 2025, featuring semester‑wise subjects, detailed modules, marks distribution, downloadable PDF, and preparation tips. Ideal for students & aspirants seeking a structured overview.

The Bachelor of Science in Computer Science (B.Sc CS) is a 3-year undergraduate program that provides students with a strong foundation in computer systems, programming, algorithms, databases, and emerging technologies. As digital transformation accelerates, this course is one of the most sought-after programs for aspiring tech professionals.

B.Sc Computer Science Exam Overview

Component Details
Course Name Bachelor of Science in Computer Science (B.Sc CS)
Duration 3 Years (6 Semesters)
Eligibility 10+2 with Mathematics/Science Stream
Mode of Examination Semester-wise
Evaluation Criteria Internal + External Exams
Minimum Passing Marks 40% in Each Subject
Curriculum Framework UGC/NEP Guidelines

Semester-Wise B.Sc Computer Science Subjects & Detailed Topics

Semester 1

Subject Detailed Topics Marks
Programming in C Introduction to C, Data Types, Variables, Operators, Control Statements, Loops, Functions, Arrays, Pointers, Strings, File Handling, Structures, Dynamic Memory Allocation. 100
Computer Fundamentals History of Computers, Generations, Classification, Functional Units, Input/Output Devices, Storage Devices, Number Systems, Binary Arithmetic, Logic Gates, Software and its Types, Operating Systems Overview. 100
Mathematics I Sets and Relations, Functions, Limits and Continuity, Differentiation, Integration, Matrices and Determinants, Permutations and Combinations, Probability Theory Basics. 100
Digital Electronics Number Systems, Logic Gates, Boolean Algebra, Combinational Circuits, Flip-Flops, Counters, Registers, Multiplexers, Decoders, A/D and D/A Conversion. 100
Lab – C Programming Writing and executing programs using loops, functions, arrays, structures, pointers, and file operations. 50

Semester 2

Subject Detailed Topics Marks
Data Structures Arrays, Linked Lists (Singly, Doubly, Circular), Stacks, Queues, Trees (Binary, BST, AVL), Graphs, Searching & Sorting Techniques, Hashing. 100
Object-Oriented Programming (C++) Classes and Objects, Constructors and Destructors, Inheritance, Polymorphism, Friend Functions, Operator Overloading, File Handling, Templates, Exception Handling. 100
Discrete Mathematics Set Theory, Relations and Functions, Mathematical Logic, Propositional Calculus, Graph Theory, Trees, Lattices, Combinatorics, Recurrence Relations. 100
Environmental Studies Ecosystems, Natural Resources, Biodiversity, Environmental Pollution, Global Warming, Sustainable Development, Environmental Policies, Climate Change. 100
Lab – DS/OOP Implementation of stacks, queues, trees in C++, object-oriented concepts, file handling programs. 50

Semester 3

Subject Detailed Topics Marks
Database Management System (DBMS) Database Concepts, ER Models, Relational Algebra, SQL Queries, Normalization, Indexing, Transactions, Concurrency Control, Recovery Techniques, Database Security. 100
Operating Systems Introduction to OS, Process Scheduling, Threads, CPU Scheduling Algorithms, Deadlocks, Memory Management, Paging, Segmentation, Virtual Memory, File Systems, I/O Systems. 100
Mathematics II Linear Algebra, Vector Spaces, Differential Equations, Fourier Series, Laplace Transform, Z-Transform, Complex Numbers. 100
Computer Networks OSI & TCP/IP Models, Transmission Media, Protocols, IP Addressing, Routing Algorithms, Network Devices, Security Fundamentals, Network Topologies. 100
Lab – DBMS/OS SQL Programming, Normalization Practice, Shell Scripting, Process Scheduling Simulations. 50

Semester 4

Subject Detailed Topics Marks
Java Programming Java Basics, OOP in Java, Packages, Interfaces, Multithreading, Exception Handling, GUI Programming using AWT/Swing, Applets, JDBC. 100
Software Engineering Software Development Life Cycle (SDLC), Agile and Waterfall Models, Requirement Engineering, UML Diagrams, Software Testing, Maintenance, Project Management. 100
Numerical Methods Solution of Linear/Nonlinear Equations, Interpolation, Numerical Differentiation, Integration, Ordinary Differential Equations, Error Analysis. 100
Web Technology HTML, CSS, JavaScript, DOM, AJAX, PHP, MySQL, XML, Responsive Web Design, Web Hosting Basics. 100
Lab – Java/Web Development of GUI-based Java apps, CRUD apps in PHP/MySQL, form validation using JS. 50

Semester 5

Subject Detailed Topics Marks
Python Programming Python Syntax, Control Statements, Functions, Modules, File I/O, Exception Handling, Object-Oriented Concepts, Numpy, Pandas, Matplotlib. 100
Artificial Intelligence Introduction to AI, Problem Solving, Search Algorithms (DFS, BFS, A*), Knowledge Representation, Expert Systems, Basics of Machine Learning. 100
Computer Graphics Graphics Primitives, 2D/3D Transformations, Clipping, Viewing, Rasterization, Shading Models, Rendering Techniques. 100
Elective I (e.g., IoT) IoT Introduction, Embedded Systems, Sensors & Actuators, IoT Protocols (MQTT, CoAP), Arduino/Raspberry Pi, Smart Applications. 100
Lab – Python/AI Projects using Python libraries, AI experiments (Search algorithms, simple ML models). 50

Semester 6

Subject Detailed Topics Marks
Cyber Security Information Security Basics, Threats & Vulnerabilities, Cryptography, Network Security, Firewalls, Intrusion Detection Systems, Cyber Laws. 100
Cloud Computing Cloud Basics, Virtualization, Cloud Models (IaaS, PaaS, SaaS), AWS/Azure Overview, Cloud Storage, Service Deployment, Security in Cloud. 100
Project Work A full-fledged final year project involving software development, documentation, presentation, and viva-voce. May involve web app, mobile app, or AI solution. 200
Seminar/Internship Industry-based internship or academic seminar presentation on trending technology (e.g., Blockchain, AI, DevOps). 50

B.Sc CS Syllabus PDF Download

Click here to download the full B.Sc Computer Science Syllabus PDF

Recommended Books

Subject Recommended Book & Author
C Programming Let Us C – Yashavant Kanetkar
Data Structures Data Structures Using C – Reema Thareja
DBMS Database System Concepts – Korth & Sudarshan
Operating Systems Operating System Concepts – Silberschatz
Java Core Java Volume I – Cay S. Horstmann
Python Learning Python – Mark Lutz
AI Artificial Intelligence – Elaine Rich
Web Technologies Web Technologies – Achyut Godbole
Software Engineering Software Engineering – Roger Pressman

Preparation Tips

  • Start with mastering C programming and data structures early.
  • Practice consistently in labs; hands-on skills are crucial.
  • Use platforms like GeeksforGeeks, LeetCode, Coursera for self-study.
  • Build mini-projects every semester to apply your knowledge.
  • Refer to standard books and keep concise notes for revisions.
  • Join coding communities or open-source groups for experience.

Specializations After B.Sc Computer Science

Specialization Description
Data Science Data analysis, visualization, and machine learning
Artificial Intelligence AI systems, robotics, neural networks
Cybersecurity Digital security, ethical hacking
Software Engineering Enterprise software design & development
Cloud Computing Scalable infrastructure, cloud platforms
Web/App Development Frontend/backend technologies
Blockchain Decentralized systems and applications

Career Opportunities

  • Software Developer
  • Web Developer
  • Data Analyst
  • AI/ML Engineer
  • Cybersecurity Analyst
  • System Administrator
  • Cloud Engineer
  • Network Administrator

Conclusion

The B.Sc Computer Science syllabus is robust, future-ready, and offers both academic and practical exposure. It equips students with industry-relevant skills for domains such as AI, programming, cloud computing, and cybersecurity. By following a structured approach, utilizing recommended resources, and focusing on practical knowledge, students can unlock abundant career and higher education opportunities in tech.

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