The B.Tech Computer Science & Engineering (CSE) Syllabus for 2025 has been strategically designed to balance engineering fundamentals with advanced computing concepts. The course focuses on developing expertise in software design, programming, system architecture, artificial intelligence, and data analytics.
Aligned with the AICTE guidelines and NEP 2020 framework, the 2025 syllabus emphasizes research-based learning, interdisciplinary projects, and industry integration. Students gain exposure to modern technologies like AI, Machine Learning, Cloud Computing, IoT, and Cybersecurity, preparing them for competitive roles in the global IT landscape.
The B.Tech CSE course is a four-year undergraduate engineering program divided into eight semesters. Each semester integrates theoretical modules, laboratory sessions, and technical projects to strengthen conceptual and applied skills.
| Year | Semester | Key Subjects |
|---|---|---|
| Year 1: Engineering Foundation | Semester 1 | Engineering Mathematics I, Programming in C, Digital Logic Design, Engineering Physics, Communication Skills |
| Semester 2 | Data Structures, Object-Oriented Programming (C++), Computer Organization, Engineering Chemistry, Environmental Science | |
| Year 2: Core Computing Concepts | Semester 3 | Operating Systems, Database Management Systems (DBMS), Computer Networks, Discrete Mathematics |
| Semester 4 | Software Engineering, Web Technologies, Java Programming, Probability & Statistics, Minor Project | |
| Year 3: Advanced Computing & Applications | Semester 5 | Artificial Intelligence, Cloud Computing, IoT Fundamentals, Cybersecurity, Project Work |
| Semester 6 | Machine Learning, Compiler Design, Big Data Analytics, Research Methodology, Internship Program | |
| Year 4: Professional Development & Specialization | Semester 7 | Blockchain Technology, Data Mining, Computer Graphics, Elective I, Industrial Training |
| Semester 8 | Deep Learning, Mobile App Development, Elective II, Major Capstone Project, Viva-Voce |
Each year combines classroom learning with lab experiments, coding assignments, seminars, and real-world projects to ensure practical exposure.
The curriculum equips students with the essential knowledge needed for success in software and systems engineering.
| Core Area | Key Topics Covered |
|---|---|
| Programming & Data Structures | C, C++, Java, Python, Algorithm Analysis |
| Database Systems | SQL, NoSQL, Data Warehousing, DB Design |
| Computer Architecture | Microprocessors, Logic Circuits, System Design |
| Operating Systems | Process Management, File Systems, Scheduling |
| Networking & Security | TCP/IP, Cryptography, Firewalls, VPNs |
| Software Engineering | SDLC, Agile, DevOps, Testing Techniques |
| Artificial Intelligence | Search Algorithms, Neural Networks, Deep Learning |
| Mathematics for Computing | Linear Algebra, Calculus, Statistics, Discrete Math |
| Elective Domain | Sample Topics |
|---|---|
| Artificial Intelligence & Data Science | Deep Learning, NLP, Predictive Analytics |
| Cybersecurity | Ethical Hacking, Cyber Laws, Digital Forensics |
| Cloud Technologies | AWS Fundamentals, Kubernetes, Virtualization |
| IoT & Embedded Systems | Smart Devices, Sensor Networks, Edge Computing |
| Game Development & AR/VR | Unity Engine, Graphics Programming |
| Blockchain Engineering | Smart Contracts, Distributed Ledger Systems |
| DevOps & Automation | Continuous Integration, Infrastructure as Code |
To secure admission into top B.Tech CSE programs, students must prepare for competitive entrance exams such as JEE Main, BITSAT, or state CETs.
Common Topics Covered:
| Subject | Recommended Book & Author |
|---|---|
| Programming in C | Let Us C by Yashavant Kanetkar |
| Data Structures | Data Structures Using C & C++ by Reema Thareja |
| DBMS | Database System Concepts by Korth & Silberschatz |
| Operating Systems | Operating System Concepts by Silberschatz & Galvin |
| Computer Networks | Computer Networks by Andrew S. Tanenbaum |
| Software Engineering | Software Engineering: A Practitioner’s Approach by Roger Pressman |
| Artificial Intelligence | Artificial Intelligence: A Modern Approach by Stuart Russell & Peter Norvig |
Project work is a critical component of the B.Tech CSE program, encouraging students to apply theoretical learning in practical scenarios.