Faculty of Computer Applications & Information Technology

GLS University under the aegis of Faculty of Computer Applications & Information Technology (FCAIT) offers industry-oriented programmes designed to build strong foundations in computing and emerging technologies. The faculty provides BCA (Dual Specialization), BSc(IT) (Dual Specialization) and BCA Programmes, focusing on practical learning, skill development, and career readiness through a blend of academic rigor and real-world exposure.

The institute has been ranked amongst Top BCA Colleges at National Level and Ranked 1st in the Academic Excellence in Gujarat State in the INDIA TODAY National Surveys.

fcait

Our Programs

BCA

BCA

BCA ( Dual Specialization)/ BCA (Hons.)/ Integrated MCA

BCA (Dual Specialization)/ BCA (Hons.)/ Integrated MCA

BCA

B.Sc. IT (Dual Specialization)/ B.Sc. IT (Hons.)/ Integrated M.Sc. IT

MCA

MCA
MSc IT

M.Sc. IT
Ph.D. in Computer Application & IT

Ph.D.
Unique Features

Unique Features

  • Real-world projects for hands-on learning
  • Industry collaborations for practical insights
  • Tailored tracks in emerging technologies
  • Professional development for best employability opportunities
  • Innovative research partnerships inspire progress

Achievements

Events

Seminar on Swarm Intelligence
Jan 2026

Seminar on Swarm Intelligence: The New Frontier in Problem-Solving

A technical seminar on “Swarm Intelligence: The New Frontier in Problem-Solving” was organized by the Faculty of Computer Applications and Information Technology (FCAIT), GLS University, and delivered by Prof. Anjali Bobra. The seminar introduced students to the principles of swarm intelligence, inspired by the collective behavior of social organisms, and explained key algorithms such as Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Artificial Bee Colony (ABC). Prof. Bobra demonstrated applications in network optimization, robotics, scheduling, traffic management, and machine learning, highlighting both advantages like scalability and adaptability, and limitations such as computational costs. Interactive discussions and real-world examples engaged students, bridging theory with practice and motivating them to explore projects and research in this innovative AI domain.