
Chaitanya Bharathi Institute of Technology (CBIT) Hyderabad is one of the top autonomous engineering colleges in Telangana, affiliated with Osmania University. The CBIT curriculum is structured to provide a perfect blend of academic knowledge and practical exposure, with programs aligned to industry demands. This guide will walk you through the CBIT curriculum, highlighting its focus areas, semester-wise subjects, and specializations.
CBIT Curriculum Overview
CBIT offers UG and PG courses in Engineering, Management, and Sciences. It follows the Choice-Based Credit System (CBCS) and Outcome-Based Education (OBE) model. Each program includes core subjects, electives, labs, project work, and skill enhancement components.
Popular Programs at CBIT:
- B.E. – CSE, ECE, IT, EEE, Civil, Mechanical, AI & DS, AI & ML
- M.E. – Structural Engineering, Thermal Engineering, CAD/CAM
- MBA – Dual specialization (Marketing, Finance, HR, etc.)
Semester-Wise B.E. CSE Curriculum (Autonomous Syllabus under Osmania University)
First Year Semester I:
- Mathematics – I
- Engineering Physics
- Basic Electrical & Electronics Engineering
- Programming for Problem Solving
- Engineering Drawing
- Physics Lab
- Programming Lab
Semester II:
- Mathematics – II
- Engineering Chemistry
- Digital Logic Design
- Data Structures
- Engineering Mechanics
- Chemistry Lab
- Data Structures Lab
Second Year Semester I:
- Discrete Mathematics
- Object-Oriented Programming using Java
- Computer Organization
- Signals & Systems
- Environmental Science
- Java Programming Lab
- CO Lab
Semester II:
- Design and Analysis of Algorithms
- Operating Systems
- Database Management Systems
- Formal Languages and Automata Theory
- Python Programming
- DAA Lab
- DBMS Lab
Third Year Semester I:
- Software Engineering
- Computer Networks
- Web Technologies
- Data Mining
- Elective – I (e.g., AI, Cybersecurity)
- Web Technologies Lab
- Data Mining Lab
Semester II:
- Compiler Design
- Machine Learning
- Cloud Computing
- Elective – II (e.g., Blockchain, IoT)
- Machine Learning Lab
- Cloud Computing Lab
- Minor Project
Final Year
Semester I:
- Deep Learning
- Big Data Analytics
- Elective – III (e.g., NLP, AR/VR)
- Professional Ethics
- Deep Learning Lab
- Big Data Lab
- Major Project – Phase I
Semester II:
- Elective – IV
- Open Elective
- Comprehensive Viva
- Major Project – Phase II
CBIT AI & ML Curriculum (Sample Structure)
Similar subjects as CSE with more electives like:
- Reinforcement Learning
- AI Tools & Techniques
- Advanced Neural Networks
- NLP Applications
Includes labs on:
- AI & ML Projects
- Deep Learning Models
- Python for AI
Elective Subjects Offered at CBIT
- Artificial Intelligence
- Data Science
- Cybersecurity
- Internet of Things (IoT)
- Blockchain
- Cloud Computing
- AR/VR
- Robotic Process Automation
Practical Labs & Mini Projects
CBIT places a strong emphasis on lab work and mini projects to ensure hands-on learning. Students get exposure through:
- Real-world Capstone Projects
- Hackathons & Ideathons
- Industry-Sponsored Internships
- FDPs and Certification Courses
Conclusion
The CBIT curriculum is a well-rounded academic structure with an emphasis on foundational knowledge, research-based learning, and technical skills. Students gain from industry-aligned electives, practical labs, and exposure to cutting-edge technologies to make them future-ready.
Frequently Asked Questions
1. Â Does CBIT offer AI & ML courses?
 Yes, CBIT offers B.E. programs in both AI & ML and AI & Data Science.
2. How many electives can a student choose at CBIT?
 Students can select electives in the final two years, including trending topics like Cybersecurity and Cloud Computing.
3. Are internships mandatory at CBIT?
 Yes, industry internships and mini projects are part of the credit system at CBIT.
4. Does CBIT follow the CBCS system?
 Yes, the curriculum is based on the Choice-Based Credit System.
5. Where can I find the detailed syllabus?
 Visit the CBIT Official Website or contact the department for syllabus PDFs.