The B.Tech. Computer Science and Engineering (Cyber Security) program is designed to prepare students to safeguard digital infrastructures in an increasingly connected world. The program provides strong foundations in computer science combined with specialized training in areas such as network security, cryptography, ethical hacking, digital forensics, cloud security, and security governance.
Students learn to detect, prevent, and respond to cyber threats using advanced tools and real-time simulations. The curriculum is aligned with current industry standards and equips learners with the technical expertise and analytical skills required to address modern cybersecurity challenges across diverse sectors.
Interdisciplinary Curriculum:Combines computer science, mathematics, statistics, and emerging AI technologies with electives from fields such as agriculture, healthcare, fintech, and automation.
Industry-Aligned Content:Designed in consultation with industry partners and aligned with frameworks like NASSCOM Future Skills and AICTE Model Curriculum.
Hands-on Learning:Project-based pedagogy, lab-intensive courses, and real-world problem-solving using Python, TensorFlow, PyTorch, and cloud platforms.
Capstone Projects & Internships: Mandatory industry internship and a final-year capstone project in collaboration with startups or corporate R&D units.
AI &AgriTech Integration: Unique opportunity to apply AI to agriculture and sustainability domains in line with Kaveri University’s core strengths.
Global Readiness: Courses on Responsible AI, cross-cultural communication, and research exposure to prepare students for international opportunities.
Entrepreneurship Support:Access to the university’s Innovation & Incubation Center for AI-driven startups and product development.
The program aims to:
Provide a strong foundation in core computer science concepts and emerging cybersecurity technologies.
Develop the ability to identify, analyze, and mitigate security risks in computer networks, applications, and systems.
Equip students with hands-on experience in ethical hacking, penetration testing, and incident response.
Foster skills in designing secure systems and implementing effective cybersecurity policies and frameworks.
Instill professional ethics, critical thinking, and the ability to address real-world cybersecurity challenges.
Prepare graduates for advanced studies, research, or technical leadership roles in cybersecurity domains.
Graduates of this program can pursue rewarding careers in government, industry, finance, defense, consulting, and technology sectors. Prominent career roles include:
Cyber Security Analyst
Information Security Engineer
Network Security Engineer
Ethical Hacker / Penetration Tester
Digital Forensics Analyst
Security Operations Center (SOC) Analyst
Cloud Security Specialist
Malware Analyst
Incident Response Specialist
Cybersecurity Consultant
Security Architect
Risk and Compliance Analyst
The B.TechCSE(AI & ML) program is structured over eight semesters, comprising a total of 163 credits, and includes a balanced blend of core courses, electives, laboratory work, internships, and a capstone project. The curriculum is designed to progressively build foundational knowledge, domain expertise, and practical skills.
Semesters 1–2: Foundations: Focus on core subjects in Mathematics, Physics, and introductory courses in Computer Science, including programming and data structures, laying the groundwork for AI and ML competencies.
Semesters 3–4: Core Computing Disciplines and AI Fundamentals: Courses in software engineering, database systems, operating systems, machine learning, and artificial intelligence provide a strong theoretical and practical base.
Semesters 5–6: Specializations and Advanced Technologies: Students choose from domain-specific electives in areas such as Advanced Machine Learning, Natural Language Processing, Data Science, Cybersecurity, and Edge/Cloud Computing, enabling in-depth skill development.
Semesters 7–8:Capstone and Emerging Technologies:Emphasis on project-based learning through a capstone project, along with exposure to emerging technologies like Generative AI, Explainable AI, AI in IoT, and Responsible AI.
The program adopts an outcome-based education (OBE) model with flexibility under the Choice Based Credit System (CBCS) and supports credit accumulation through the Academic Bank of Credits (ABC) framework
Qualify in JEE (MAIN) 2025 examination and be eligible to write the JEE Advanced 2025 Or Top All India Rank in JEE (MAIN) 2025 examination (Exact cut off rank would be announced upon declaration of results).
A Valid SAT Subject test Score (which should include Mathematics, Physics, Chemistry) – Minimum 1800
A Valid SAT Test Score – Minimum of 800
A Valid ACT Score – Minimum Composite Score of 18
Note:
| Students Under Indian Category | ₹ Per Annum |
|---|---|
| Academic Fees | ₹ 3,00,000 |
| Hostel Fees (2 Sharing Includes Room & Mess Charges) |
₹ 1,50,000 |
| Hostel Fees (4 Sharing Includes Room & Mess Charges) |
₹ 1,25,000 |
| Caution Deposit (Refundable at the End of the Course or After Graduation) |
₹ 20,000 |
| Students Under NRI/PIO/FO Category | $ USD Per Annum |
|---|---|
| Academic Fees | $3500 |
| Hostel Fees (Includes Room & Mess Charges) |
$2000 |
| Caution Deposit (Refundable at the End of the Course or After Graduation) |
$400 |
Note:
Hostel stay is Mandatory for students andfees are subject to revision every year
Refund Rules:
Fee refund & cancellation policy will be as per guidelines published by UGC/Statutory authorities.
Graduates of this program can pursue careers as:
Kaveri University was established as per the Telangana Private Universities (Establishment & Regulation) Act, 2018 under section 3.
