Syllabus

B.Tech Computer Science Syllabus 2025: Semester-wise Curriculum & Downloadable PDFs

Explore the comprehensive B.Tech Computer Science syllabus for 2025, covering semester-wise subjects such as Programming Languages, Data Structures, Algorithms, Database Management Systems, and emerging technologies like AI and Machine Learning. Access detailed course structures and download official PDFs to enhance your academic planning.

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The B.Tech in Computer Science Engineering (CSE) is a four-year undergraduate program designed to build a strong foundation in computer systems, software development, algorithms, and emerging technologies like Artificial Intelligence, Data Science, and Cloud Computing. This article provides the complete, topic-wise B.Tech CS syllabus with in-depth descriptions, marks, recommended books, preparation tips, and specialization options.

B.Tech CS – Exam Overview

Feature Details
Course Name B.Tech in Computer Science Engineering
Duration 4 Years (8 Semesters)
Examination Type Semester-wise
Mode of Study Regular / Full-Time
Eligibility 10+2 with PCM + Entrance Test (e.g. JEE)
Approved By AICTE, UGC
Specializations AI, Data Science, Cybersecurity, IoT

B.Tech Computer Science Semester-wise Syllabus (with Topics)

Semester 1: Foundation in Science & Computing

Subject Detailed Topics Marks
Mathematics-I Calculus, Matrices, Sequences and Series, Multivariable Functions 100
Physics Laws of Motion, Optics, Modern Physics, Oscillations, Quantum Theory 100
Basic Electrical Engineering Ohm’s Law, Kirchhoff’s Laws, Transformers, DC & AC Circuits, Safety Measures 100
Programming in C Variables, Loops, Functions, Pointers, Structures, File I/O 100
Engineering Graphics Orthographic Projection, Isometric Views, CAD Tools 100
Environmental Studies Ecosystems, Biodiversity, Environmental Pollution, Sustainable Development 100

Semester 2: Data Structures & Object-Oriented Concepts

Subject Detailed Topics Marks
Mathematics-II Linear Algebra, Differential Equations, Fourier Series, Complex Numbers 100
Chemistry Organic & Inorganic Chemistry, Periodic Table, Thermodynamics, Chemical Bonding 100
Data Structures Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Hashing, Sorting 100
Digital Logic Design Boolean Algebra, Logic Gates, Flip-Flops, Counters, Multiplexers, Decoders 100
OOP in C++ Classes, Inheritance, Polymorphism, Abstraction, Templates, Exception Handling 100
Communication Skills Business English, Report Writing, Presentations, Group Discussions 100

Semester 3: Systems Programming and Architecture

Subject Detailed Topics Marks
Computer Organization Microprocessor Architecture, ALU, Memory Hierarchies, Instruction Cycle 100
Operating Systems Process Management, CPU Scheduling, Deadlocks, Memory Management 100
Discrete Mathematics Sets, Relations, Graph Theory, Logic, Combinatorics, Recurrence Relations 100
DBMS ER Diagrams, SQL, Normalization, Transactions, Indexing 100
DAA Recursion, Divide & Conquer, Greedy, Dynamic Programming, NP-Completeness 100

Semester 4: Networking & Web Development

Subject Detailed Topics Marks
Software Engineering SDLC Models, Agile, UML, Testing, Configuration Management 100
Computer Networks OSI, TCP/IP, IP Addressing, Routing, DNS, Congestion Control 100
Theory of Computation DFA, NFA, CFG, Turing Machines, Regular Expressions 100
Web Technologies HTML, CSS, JavaScript, PHP, MySQL, AJAX 100
Java Programming OOPs, Exception Handling, Threads, Swing, JDBC 100

Semester 5: AI, Mobile Development & Minor Project

Subject Detailed Topics Marks
Compiler Design Lexical Analyzer, Parsing, Code Optimization 100
Artificial Intelligence Search Algorithms, Knowledge Representation, NLP 100
Mobile App Development Android SDK, Activities, SQLite, REST APIs 100
Elective I Blockchain, Image Processing, Game Dev 100
Minor Project Mini App with Report & Demo 100

Semester 6: Cloud, ML & Industrial Training

Subject Detailed Topics Marks
Machine Learning Supervised/Unsupervised Learning, SVM, Clustering 100
Cloud Computing AWS, Azure, SaaS/PaaS/IaaS, Virtualization 100
Elective II Cybersecurity, DevOps, IoT, NLP 100
Open Elective Interdisciplinary Topics (Bioinformatics, etc.) 100
Industrial Training Internship Report & Viva 100

Semester 7: Specialization & Project Phase I

Subject Detailed Topics Marks
Big Data Analytics Hadoop, MapReduce, Spark, Hive 100
Elective III Robotics, Software Testing, AR/VR 100
Major Project I Problem Identification, Requirement Analysis, Initial Development, Documentation 150
Entrepreneurship Startup Basics, Business Model Canvas (BMC), Funding, Legal Aspects 100

Semester 8: Final Project & Viva

Subject Detailed Topics Marks
Major Project II Final Development, Implementation, Testing, Deployment, Final Report 150
Comprehensive Viva Oral Examination Based on All Core Subjects & Project 100

Download B.Tech Computer Science Syllabus PDF

Download B.Tech CSE Syllabus PDF 2025

Recommended Books For B.Tech CS

Subject Book Name & Author
Programming in C Let Us C – Yashavant Kanetkar
Data Structures Fundamentals of DS – Horowitz
DBMS Database Concepts – Silberschatz
Algorithms CLRS – Cormen
Operating Systems OS Concepts – Galvin
Networks Computer Networks – Tanenbaum
TOC Automata Theory – Hopcroft
ML Hands-On ML – Aurélien Géron
Java Head First Java – Kathy Sierra
Web HTML & CSS – Jon Duckett

Preparation Tips for B.Tech CS

  • Master C, C++, and Java in the first two years.
  • Practice DSA on LeetCode and HackerRank regularly.
  • Build real-world projects (5–6) for your portfolio.
  • Learn Git & contribute to GitHub open-source projects.
  • Apply for internships by 6th semester (LinkedIn, Internshala).
  • Get certified in Cloud, AI/ML or DevOps (Coursera/NPTEL).

Specializations in B.Tech CSE

Specialization What You Learn
AI & ML Deep Learning, NLP, Computer Vision
Cybersecurity Hacking, Cryptography, Network Security
Data Science Statistics, Python, Predictive Analytics
Cloud Computing AWS, Azure, Cloud DevOps
IoT Embedded Systems, Smart Devices, Protocols
Blockchain Ethereum, Smart Contracts, Decentralization
AR/VR Unity, Game Dev, UX Design
Robotics Control Systems, Sensors, ML in Robotics

Conclusion

The B.Tech Computer Science syllabus equips students with core and advanced knowledge in programming, AI, cloud, networks, and more. With multiple specialization options and hands-on projects, students are well-prepared for tech careers, higher studies, or entrepreneurship.

Stay consistent with learning, participate in coding contests, and keep building your project portfolio to succeed in the competitive CS field.

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0 169 3 minutes read
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