The Department of Computer Science & Engineering (CSE) at Ballarpur Institute of Technology, established in 2009, offers undergraduate (B.Tech) and postgraduate (M.Tech) programs. The department has well-qualified and motivated faculty members and supporting staff.
The department is equipped with modern laboratories and advanced computing facilities that provide a conducive environment for learning and research.
The department focuses on nurturing competent professionals equipped with technical expertise, innovation skills, ethical values, leadership qualities, and industry readiness to meet global technological challenges.

Head of Department – Computer Science & Engineering
14 Years (9 Teaching + 5 Research) Experience
Welcome to the Department of Computer Science & Engineering.
Our department is dedicated to providing quality education and helping students build strong technical knowledge and practical skills. We encourage learning, innovation, teamwork, and ethical values to prepare students for successful careers in the field of technology. With the support of experienced faculty members and well-equipped laboratories, we strive to create a positive learning environment where students can grow academically and personally.
We encourage our students to actively participate in research, technical events, internships, and professional development activities that enhance their overall growth and prepare them for successful careers.
Dr. Vaidya brings 3 years of administrative experience and has 14 research publications to her credit.
Dr. Mrunali Vaidya
Head of Department – Computer Science & Engineering
Department of Computer Science & Engineering
| Program | Intake | Faculty | Labs |
|---|---|---|---|
| B.Tech | 90 | 12 | 05 |
| M.Tech | 18 | 03 | 01 |
130+ research papers published in various journals
The institution actively conducts workshops motivating researchers toward commercial patents and start-ups.
The primary objective is to empower farmers by integrating farming practices with modern technology.
The objective is to incorporate contextual understanding of an applicant's qualities in the recruitment process.
NLP based automatic evaluation of handwritten answers.
The primary objective is to grow plants without soil by providing nutrients directly through water. The system integrates sensors and actuators to regulate plant growing conditions.
To be a centre of excellence in Computer Science & Engineering education by fostering innovation, technical competence, ethical values, research culture, and industry-oriented learning for the development of globally responsible professionals.
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