Academic Excellence

Shaping the next generation of global engineers through innovation and research-led education.

Methodology

Academic Overview

Achariya College of Engineering Technology follows a unique "Activity-Based Learning" pedagogy. We believe that engineering is best learned by doing. Our academic structure is designed to balance theoretical knowledge with practical application through:

  • Choice Based Credit System (CBCS): Allowing students to choose from a wide range of elective courses.
  • Continuous Assessment: Regular internals, mini-projects, and seminars.
  • Industry Integration: Guest lectures and workshops by industry experts from TCS, Wipro, and other MNCs.
  • Holistic Mentoring: Psychological support and soft skills training through Student Development Programs (SDP).
Academic Programs

Department Portfolios

Approved by AICTE, New Delhi & Affiliated to Pondicherry University

Undergraduate Programs (UG)

AI & Data Science

Fostering expertise in machine learning, big data analytics, and neural networks for the AI-driven future.

HOD: Prof. Jeevidha
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Computer Science

Comprehensive training in software development, cybersecurity, and cloud computing systems.

HOD: Prof. Bhuvaneshwari
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Electronics & Communication

Expertise in VLSI design, embedded systems, and next-gen wireless communications.

HOD: Prof. F.D. Anfinston
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Electrical & Electronics

Focusing on power electronics, renewable energy, and industrial automation solutions.

HOD: Prof. A. Geetha
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Mechanical Engineering

Advanced manufacturing, robotics, and thermal engineering for industrial success.

HOD: Prof. S. Bhanuchandar
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Robotics & Automation

Specialized stream for the next-generation industrial revolution and autonomous systems.

HOD: Prof. S. Sivasankari
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Information Technology

Focus on data science, cloud security, and cross-platform application development.

HOD: Prof. K. Ganeshan
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Science & Humanities

Providing the foundational scientific knowledge and language skills critical for engineering excellence.

HOD: Prof. S. Syamala Gowri
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Internet of Things (IoT)

Exploring connected devices, smart systems, and IoT architecture for the modern world.

HOD: Prof. IOT Head
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Postgraduate Programs (PG)

Master of Business Administration (MBA)

Advanced management strategies, leadership training, and corporate business intelligence.

HOD: To be announced
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M.Tech - AI & Data Science

Advanced study in Artificial Intelligence, Machine Learning, and Big Data Analytics.

HOD: To be announced
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UGC Autonomous Framework

Academic Regulations & Syllabi

Download Regulations 2026 and latest Autonomous UG & PG Syllabi or visit the dedicated portal.

Visit Autonomous Portal
Downloads

Autonomous Curriculum & Syllabus

Click any department card below to download the official autonomous syllabus.

Explore Full Autonomous Hub

Academic Calendars

Academic Calendar 2022-2023
Academic Calendar 2021-2022
Academic Calendar 2020-2021

Academic Stars

CSE

KALVI

1st Rank

ECE

AGILAVANI

1st Rank

EEE

ABINAYA

1st Rank

MECH

NASRUDEEN

1st Rank