Information Technology

Laboratory Facilities

Recent Achievements (2024-25)

Faculty Awards and Achievements

Placement Statistics

Our Students are Placed in

Program Educational Objectives (PEOs)

1. Establish themselves as competent professionals in computing and allied fields by applying fundamental knowledge of mathematics, science, and computer science.
2. Pursue higher education, research, or innovation-based careers, contributing to technological and societal advancements.
3. Exhibit leadership, effective communication, and teamwork in multidisciplinary environments, adhering to ethical and professional standards.
4. Engage in lifelong learning and continuously upgrade their technical skills to address real-world challenges and evolving technologies.

Program Specific Outcomes (PSOs)

1. Design and develop efficient software systems and algorithms using modern programming tools and technologies to solve real-world problems.
2. Apply concepts of data structures, operating systems, computer networks, databases, and machine learning for building intelligent and secure computing solutions.

Program Outcomes (POs)

1. Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to solve complex engineering problems.
2. Problem Analysis: Identify, formulate, research literature, and analyze complex engineering problems to reach substantiated conclusions.
3. Conduct Investigations of Complex Problems: Use research-based knowledge and methods including design of experiments, analysis and interpretation of data.
4. Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools for engineering activities.
5. The Engineer and Society: Apply reasoning to assess societal, health, safety, legal and cultural issues relevant to professional engineering practice.
6. Environment and Sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate sustainable development.
7. Ethics: Apply ethical principles and commit to professional ethics and responsibilities.
8. Individual and Team Work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary settings.
9. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large.
10. Project Management and Finance: Demonstrate knowledge of engineering and management principles and apply them to one’s own work and in team/project settings.
11. Life-long Learning: Recognize the need for and have the preparation and ability to engage in independent and life-long learning.

Syllabus is designed as per RGPV guidelines and updated regularly to meet industry requirements.

Research Areas

• Machine Learning and AI
• Data Science and Analytics
• Cyber Security
• IoT and Cloud Computing
• ERP
• Mobile Computing
• Spatial Data Mining

Department maintains active collaborations with leading IT companies for internships, placements, and industry exposure with NKN, TCS, Risposta, Hindalco etc.

Regular expert lectures and workshops are conducted by industry professionals and research experts.

Available Certification Programs

Annual Events

Department Clubs & Societies

Distinguished Alumni