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CSBS - Sri Vidya College
Sivakasi Main Road, Virudhunagar – 626005 Counselling Code : 4996 97509 77088 | 97509 46685
SVCET

Sri Vidya College of
Engineering & Technology

AICTE Approved | Anna University Affiliated | ISO 9001:2008
Admissions 2025-26 Open Now! ★ 95% Placement Record in 2024 ★ New AI & Robotics Lab Inaugurated ★ Tech Fest Innovate 2025 Registration Started ★

Department of Computer Science & Business Systems (CSBS)

AICTE Approved

Bridging computer science and business systems to create future-ready technology professionals

HOD
Head of Department
WELCOME TO THE DEPARTMENT

Mr. Guru Ragvendran

M.Tech

The Department of Computer Science and Business Science at Sri Vidya College of Engineering and Technology is dedicated to academic excellence, research, and transformative education. It offers a rigorous, outcome-based curriculum aligned with global standards, blending foundational knowledge with advanced skills and experiential learning. The department fosters innovation, interdisciplinary research, and strong industry collaborations to prepare students for real-world challenges. Emphasis is placed on producing technically proficient, ethically responsible, and socially conscious professionals with leadership and entrepreneurial skills. Committed to continuous improvement and quality, the department strives to develop future-ready graduates who will make a meaningful impact in the field of AI and Data Science.

To be a centre of excellence in Computer Science and Business Systems education, fostering innovation, analytical thinking, and business acumen to develop globally competent professionals who can bridge the gap between technology and business.

To deliver a strong academic foundation in computer science, business systems, and emerging technologies while fostering analytical thinking, innovation, and entrepreneurial mindset. The department is committed to promoting research, industry collaboration, and real-world problem solving, along with nurturing ethical values, leadership qualities, and a culture of lifelong learning.

Mrs.R.Vidhyalakshmi

Mrs.R.Vidhyalakshmi

Assistant Professor

M.E 6 Years Networking , Network Security
Mrs.M.Jaya Maharajoythi

Mrs.M.Jaya Maharajoythi

Assistant Professor

M.E 2 Years Cloud , Network
Mr. S. Guru RagavendMr. S. Guru Ragavendra

Mr. S. Guru RagavendMr. S. Guru Ragavendra

Professor

M.Tech 6 Years Business Analytics

Machine Learning Laboratory
Machine Learning Laboratory

The Machine Learning Laboratory is designed to provide students with practical exposure to modern data-driven technologies and intelligent systems. The lab enables learners to understand, implement, and experiment with various machine learning algorithms and tools used in real-world applications. Students gain hands-on experience in data preprocessing, model building, training, evaluation, and deployment using industry-relevant platforms and programming languages such as Python. The laboratory supports learning in areas like supervised and unsupervised learning, deep learning, natural language processing, and predictive analytics.

Digital Marketing Laboratory
Digital Marketing Laboratory

The Digital Marketing Laboratory provides students with practical exposure to modern marketing strategies and tools used in the digital era. The lab is designed to bridge the gap between theoretical concepts and real-world marketing practices by enabling hands-on learning in online platforms and analytics. Students gain experience in areas such as search engine optimization (SEO), social media marketing, content creation, email marketing, and web analytics. The lab also introduces tools for campaign management, performance tracking, and data-driven decision making.

Cognetive Science Laboratory
Cognetive Science Laboratory

The Cognitive Science Laboratory is designed to explore the intersection of human cognition, behavior, and intelligent systems. The lab provides students with insights into how people perceive, learn, think, and make decisions, integrating concepts from computer science, psychology, and artificial intelligence. Students engage in experiments, simulations, and analytical activities related to human-computer interaction, cognitive modeling, decision-making processes, and user behavior analysis. The lab also introduces tools and techniques for studying perception, memory, learning patterns, and problem-solving.

UG R2025
Curriculum for UG R2025 Regulation

Download the complete syllabus including course structure and learning outcomes.

Download Syllabus
UG R2025
Curriculum for UG R2025 Regulation

Download the complete syllabus including course structure and learning outcomes.

Download Syllabus

Case study analysis for real-world business applications

Student achievements will be updated soon.

Faculty achievements will be updated soon.

Workshop
12 Jan
Workshop

Wearable Technology:A new frontier in healthcare delivery and Management

150 AIDS
Awareness program
30 Sep
Awareness program

Drug Awareness program

40 AIDS
National level Technical Symposium
12 Sep
National level Technical Symposium

OMNITRIX2.0

120 AIDS
Workshop
12 Jan
Workshop

Wearable Technology:A new frontier in healthcare delivery and Management

150 AIDS
Awareness program
30 Sep
Awareness program

Drug Awareness program

40 AIDS
National level Technical Symposium
12 Sep
National level Technical Symposium

OMNITRIX2.0

120 AIDS

#37 Value Added
Introduction To Modern AI - Cisco Networking Academy

DEEPIKA M

922023244001

#38 Value Added
Introduction To Modern AI

FATHIMA SABRINA T

922023244002

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