[email protected] | +91 99427 96723 | Kalaiyarkoil, Sivagangai – 630 551
St. Michael College of Engineering and Technology An Autonomous Institution | NAAC 'A' Grade | AICTE Approved | Anna University Affiliated
TNEA 5919
UPDATES
End Semester Exams start from 18.05.2026

CSE (Artificial Intelligence & Machine Learning)

CSE (Artificial Intelligence & Machine Learning)

B.E. — 4 Years

The B.E. CSE (Artificial Intelligence and Machine Learning) program at St. Michael College of Engineering and Technology offers a cutting-edge curriculum focused on Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Data Science. Students are trained in modern AI frameworks and tools to solve real-world problems. The program is under the Department of Computer Science and Engineering.

Duration

4 Years

Degree

B.E.

Affiliation

Anna University

Vision & Mission

Vision

To emerge as a distinguished School of Computer Science, recognized globally as a center of excellence, dedicated to meeting the evolving demands of the Indian industry and society.

Mission
  • To produce globally competent professionals, driven to learn emerging technologies and innovate in solving real-world problems.
  • To foster research activities among students and faculty members for the betterment of society.
  • To instill moral and ethical values within their profession.

Laboratory Facilities

Practice-oriented computing laboratories that support core, advanced, and emerging areas of CSE (Artificial Intelligence & Machine Learning).

Artificial Intelligence & Machine Learning Lab
Artificial Intelligence & Machine Learning Lab

Dedicated to exploring AI and ML techniques using frameworks like TensorFlow and PyTorch. Supports courses such as Artificial Intelligence and Machine Learning.

Cloud Computing and Big Data Lab
Cloud Computing and Big Data Lab

Provides an environment to work with cloud platforms such as AWS and Azure and big data tools like Hadoop and Spark. Supports courses like Cloud Computing and Big Data Analytics.

Faculty Members

The department boasts experienced and qualified faculty members dedicated to academic excellence.

Prof. K. Petchiappan
Prof. K. Petchiappan
Professor
Mrs. V. Rinibhavatharani
Mrs. V. Rinibhavatharani
Associate Professor
Mr. J. Joseph Britto
Mr. J. Joseph Britto
Assistant Professor
Mr. S. Muthu Rathinam
Mr. S. Muthu Rathinam
Assistant Professor
Mrs. A. Devi Abarna Sri
Mrs. A. Devi Abarna Sri
Assistant Professor
Mrs. J. Saral
Mrs. J. Saral
Assistant Professor
Mrs. P. Madhubala
Mrs. P. Madhubala
Assistant Professor
Mrs. R. Devika
Mrs. R. Devika
Assistant Professor
Mrs. M. Jesintha
Mrs. M. Jesintha
Assistant Professor

Achievements

  • Students regularly participate and win prizes in national and state-level technical symposia.
  • Faculty members publish research papers in reputed international journals.
  • Students successfully placed in leading IT companies and core industries.
  • Conducted numerous workshops, seminars, and guest lectures by industry experts.
  • Active student chapters and professional society memberships.
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