The B.Tech. in Computer Science & Engineering is designed for students who aspire to build the digital infrastructure that powers modern enterprises, platforms, and intelligent applications. The programme develops strong foundations in algorithms, data structures, operating systems, databases, computer networks, software engineering, cloud computing, and cybersecurity while emphasizing the design of reliable, scalable, and secure software systems.
Students gain hands-on experience in software development, distributed computing, cloud-native architectures, web technologies, and modern application deployment. Advanced electives allow students to specialize in Software Engineering & Full-Stack Development, Cybersecurity & Secure Systems Engineering, or Cloud Computing & Data Engineering. Through industry-integrated learning and project-based experiences, graduates develop the skills required to design, build, deploy, and manage complex software systems in a rapidly evolving technology landscape.
Eligibility Criteria
- Minimum of 65% in Mathematics, Physics, and Chemistry (individually).
- At least 60% aggregate in PUC/12th or an equivalent examination from a recognized board.
- Valid score in JEE, KCET, COMEDK or any other state entrance exam.
Chanakya Edge
- Strong emphasis on core computer science principles including algorithms, operating systems, databases, computer networks, and software engineering.
- Specialized pathways in Software Engineering & Full-Stack Development, Cybersecurity & Secure Systems Engineering, and Cloud Computing & Data Engineering.
- Curriculum includes emerging areas such as Generative AI, Deep Learning, DevOps, MLOps, Cloud Architecture, Distributed Computing, and Data Governance.
- Limited memory-based assessments, with evaluation focused on coding challenges, software design problems, system implementation, and industry-oriented capstone projects.
- Hands-on exposure to modern software development practices including API design, backend engineering, database design, cloud deployment, and secure software development.
- Ability Enhancement Courses (AECs) delivered by industry professionals, providing exposure to current tools, workflows, and engineering practices used by leading technology organizations.
- Opportunities to participate in interdisciplinary projects involving Artificial Intelligence, Cyber Security, Geoinformatics, Robotics, and Space Technologies.
- Strong foundation for careers in software engineering, product development, research, entrepreneurship, and higher studies.
Programme Highlights
- PEO1: Graduates will establish themselves as competent computing professionals capable of designing and implementing robust software, data and AI-enabled systems.
- PEO2: Graduates will apply computer science principles to solve complex engineering, business and societal problems with attention to ethics, security, scalability and sustainability.
- PEO3: Graduates will pursue higher education, research, entrepreneurship, certifications and lifelong learning in emerging computing areas.
- PEO4: Graduates will demonstrate leadership, communication and teamwork while contributing to interdisciplinary and technology-driven projects.
Programme Structure
- Year 1: Foundation in engineering sciences, mathematics, and ethics.
- Year 2: Domain-focused courses with integrated lab work.
- Year 3: Industry internships, electives in emerging tech, and innovation projects.
- Year 4: Capstone projects, entrepreneurial incubation, national & global exposure
Sno | Category | Suggested break up of credits |
1 | Humanities and social sciences including management courses | 12 |
2 | Basic science courses + Mathematics | 18 |
3 | Engineering science courses first year | 9 |
4 | Professional core | 48 |
5 | Professional elective | 24 |
6 | Open electives | 17 |
7 | Project work | 12 |
8 | Non Credit Mandatory courses | Non-credit |
Total | 140 | |
Course Name | Credits |
Discrete Mathematics | 4 |
Theory of Computation | 4 |
Computer Organization and Design | 4 |
Data Structures and Algorithms | 4 |
Design and Analysis of Algorithms | 4 |
Systems Software | 4 |
Database Management Systems | 4 |
Operating Systems | 4 |
Computer Networks | 4 |
Introduction to AI and ML | 4 |
Software Engineering | 4 |
Cryptography and Network Security | 4 |
Collaborations
Industry collaborations provide opportunities for internships, technical workshops, project mentorship, and exposure to real-world software engineering challenges.
- Pure Storage
- Tech Mahindra
- Zoho
- EDS Technologies
- Cadmaxx Solutions
- Industry partners across software, cloud, cybersecurity, and data-driven sectors