The M.Tech. Computer Science and Engineering program is a postgraduate degree designed to provide advanced knowledge and research-oriented skills in cutting-edge areas of computing. The program strengthens students’ understanding of core computer science while enabling specialization in fields such as artificial intelligence, machine learning, data science, cybersecurity, cloud computing, blockchain, high-performance computing, and software engineering.
Through a blend of rigorous coursework, laboratory practice, research projects, and seminars, students develop the ability to solve complex engineering problems, innovate technological solutions, and contribute to industry and academia. The program prepares graduates for leadership roles in technology development, research organizations, and higher education.
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 advanced theoretical and practical knowledge in computer science and emerging technologies.
Enhance analytical, computational, and research skills for solving complex engineering challenges.
Enable students to design, implement, and optimize sophisticated software systems and intelligent applications.
Encourage innovation, critical thinking, and application-driven research in specialized domains.
Equip students with hands-on experience using advanced tools, platforms, and simulation environments
Promote professional ethics, teamwork, communication, and leadership for successful technical careers.
Prepare graduates for doctoral studies, academic careers, entrepreneurship, and industry research roles.
Graduates of the M.Tech. CSE program are highly valued across IT, research labs, academia, consulting, government, and technology-driven industries. Career opportunities include:
Software Engineer / Senior Software Developer
AI / Machine Learning Engineer
Data Scientist / Data Engineer
Cybersecurity Specialist
Cloud Solutions Architect
Full Stack Developer
Blockchain Developer
Research Scientist (Computer Science)
Systems Architect / Product Architect
DevOps Engineer
University Faculty / Lecturer
R&D Engineer (Private and Government Sectors)
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.
