LATEST NEWS

Department of

Computer Technology

About the Department

The Department of Computer Technology at KG College of Arts and Science was established with a vision to deliver high-quality experiential education in computer systems, software development, programming, and IT infrastructure. With a strong focus on industry alignment, the department provides first-hand exposure to cutting-edge technologies, systems management practices, and contemporary IT tools and platforms through its autonomous undergraduate programme.

The computer technology curriculum integrates solid conceptual foundations with application-driven learning through innovative pedagogy, well-equipped laboratories, immersive industry interaction, value-added electives and certifications, and skill-focused training. The department’s approach combines an application-centric coursework with analytical thinking, creativity, ethical responsibility, and problem-solving skills to prepare graduates for sustained careers across software development, systems and network management, cloud technologies, cybersecurity, analytics, and other emerging IT domains.

At a Glance

Established
2008
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Student Intake
120
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Faculty Strength
9
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Campus Placements

Hariharan M

VINISINFO

Associate Software Developer

₹ 3.05 LPA

B.Sc. CT 2026
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Rishikesh R

MICROLAND

Graduate Trainee

₹ 2.6 LPA

B.Sc. CT 2026
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Kiruthika S

MICROLAND

Graduate Trainee

₹ 2.6 LPA

B.Sc. CT 2026
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Roshini K

MICROLAND

Graduate Trainee

₹ 2.6 LPA

B.Sc. CT 2026
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Sakthi Sadhana S

MICROLAND

Graduate Trainee

₹ 2.6 LPA

B.Sc. CT 2026
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Parama Dharshini H

GEP WORLDWIDE

Process Associate

₹ 2.25 LPA

B.Sc. CT 2026
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Sean Sefika Deborah

GEP WORLDWIDE

Process Associate

₹ 2.25 LPA

B.Sc. CT 2026
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Archana C

GEP WORLDWIDE

Process Associate

₹ 2.25 LPA

B.Sc. CT 2026
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From the HoD's Desk

"The Department of Computer Technology strives to produce globally competent graduates with strong ethical values, committed to building a vibrant nation."

Dr. A. Lavanya

Head, Department of Computer Technology

Dr. A. Lavanya is an academic professional in the field of Computer Science with research interests in Networking, Machine Learning and Cyber Security. Her work focuses on applied AI, innovative teaching methodologies, and technology enabled learning environments. She is actively involved in scholarly research and student mentoring.

Programs Offered

The programme offered by the Department of Computer Technology blends theoretical knowledge with practical training to prepare graduates for dynamic careers in the computer technology domains.

Level
Programme

Undergraduation

Industry Academia Collaboration

Defend. Detect. Respond. Real skills for a real threat landscape.

Industry Academia Domain: Cybersecurity Lab
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About the Industry Partner — BlackPerl Academy

KGM is a specialised industry training organisation that bridges academic learning and professional software engineering. Practising developers serve as trainers, delivering hands-on, real-world instruction from Semester I through Semester VI — covering C, Python, Java, React.js, Spring Boot, and DevOps — followed by internship and placement support.

About the Full-Stack Development Lab

An industry-integrated lab at KGCAS, exclusively for B.Sc. Computer Science students, run entirely by KGM industry professionals. Students progress from programming fundamentals to full-stack development, complete a capstone project, gain real workplace experience through an internship, and receive dedicated placement support via KGM's employer network.

Faculty Directory

The Department of Computer Technology at KG College of Arts and Science is driven by a team of highly qualified and dedicated academic professionals committed to bridging the gap between theoretical knowledge and industry practice. The faculty is dedicated to achieving academic excellence and student success.

With extensive experience in specialized domains like AI, Networking, and Data Mining, the faculty members empower students to excel in the evolving technological landscape through innovative teaching and research mentorship.

Research & Publications

The faculty of the department of Computer Technology at KGCAS is constantly involved in research, participating and presenting pagers at national and international conferences, publishing research findings in reputed peer reviewed research journals and securing patent rights.

Facilities

The Department boasts dedicated infrastructure designed to support both theoretical and hands-on practical learning.

Infrastructure & Resources

The Department of Computer Technology provides a sophisticated academic environment equipped with state-of-the-art technical infrastructure designed to bridge the gap between theoretical learning and industry application. Students have access to high-performance computing resources and a fully Wi-Fi-enabled campus that facilitates seamless learning, research and project development. The facilities are designed to provide students with hands-on experience in computing environments, fostering both technical expertise and professional readiness.

Laboratory Details
Programming Lab – 60 systems, Intel i5, 8GB RAM, 512GB SSD, VS Code, Java, Python, MySQL installed.
High-speed Internet access and Campus Wi-Fi available throughout the computing labs and academic spaces.
Classroom Infrastructure
Classrooms with Projector
Sufficient Seating capacity
WiFi availability
Department Facilities
Department Library
Discussion Spaces

Facilities

The Department boasts dedicated infrastructure designed to support both theoretical and hands-on practical learning.

Lab System Configuration

S.No. Specification Details
1 Model HP Pro Tower 280 G9
2 Processor (CPU) Intel Core i5 – 12500 (6 Cores, up to 3.0 GHz)
3 Chip-Set H670
4 Memory (RAM) 8 GB DDR4
5 Storage 512 GB NVMe M.2 SSD
6 Operating System Windows 11 Pro
7 Monitor 18” LED Display

Laboratories

Python Programming Lab
Java Programming Lab
Data Structures & Algorithms Lab
Interactive JavaScript Programming Lab
Database Management System Lab
ReactJS Lab
Node.js & MongoDB Lab
.NET Programming Lab
Big Data Analytics Lab
Network Simulation Lab