B.Tech. (CSE) Artificial Intelligence & Machine Learning

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Programme Overview

The School of Agricultural Engineering & Technology at Kaveri University, Gowraram, Telangana, offers a four-year B.Tech-CSE (AI & ML) program, structured over eight semesters. This cutting-edge undergraduate degree is designed to provide students with a strong theoretical foundation and hands-on expertise in AI, machine learning, and data-driven technologies, with a focus on real-world applications and societal impact.

The program blends core principles of computer science, mathematics, data science, IoT, cloud computing, and engineering design to equip students with the skills required to develop, analyze, and deploy intelligent systems. Graduates will be prepared for roles as AI engineers, data scientists, machine learning architects, and technology innovators, contributing to industry and research alike.

The program blends core principles of computer science, mathematics, data science, IoT, cloud computing, and engineering design to equip students with the skills required to develop, analyze, and deploy intelligent systems. Graduates will be prepared for roles as AI engineers, data scientists, machine learning architects, and technology innovators, contributing to industry and research alike.

Kaveri University’s mission is “to educate and empower future citizens for and of a better world,” ensuring that learners emerge as leaders and changemakers—capable of shaping the future while remaining deeply connected to their communities and committed to building a more just, sustainable, and peaceful global society.

Programme Highlights

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.

Programme Structure

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.

Semester-wise Curriculum Overview

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

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Eligibility Criteria

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:

  • tudents getting admitted through JEE / SAT / ACT mode need to have 60% or equivalent grade in10+2 from any Statutory Board;
  • Exact cut off rank would be announced upon declaration of results

Fee Structure

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.

Career Pathways

Graduates of this program can pursue careers as:

  • AI/ML Engineers
  • Data Scientists
  • AI Product Developers
  • NLP Specialists
  • Network Security Analyst
  • Research Analysts
  • AI Start-up Entrepreneurs
  • Higher studies (M.Tech / MS / Ph.D. in AI/ML/Data Science)

Important Dates

Admissions for the academic year 2025-26 are now closed. We look forward to welcoming you to our university community next year. The dates for admissions for the next academic year will be announced in due course of time.

Kaveri University was established as per the Telangana Private Universities (Establishment & Regulation) Act, 2018 under section 3.