Orientations Day - 8th Aug 2026 - Welcome to an exciting academic journey filled with learning, innovation, and limitless opportunities.🎓 Admissions Open for 2026-2027 | Call us: +91-990-881-0491 |
Orientations Day - 8th Aug 2026 - Welcome to an exciting academic journey filled with learning, innovation, and limitless opportunities.🎓 Admissions Open for 2026-2027 | Call us: +91-990-881-0491 |
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Diploma Courses
Computer Science Engineering
Electronics & Communication Engineering
Electrical & Electronics Engineering
UG Courses
Computer Science and Engineering
CSE (Artificial Intelligence and Machine Learning)
Computer Engineering (Software Engineering)
CSE (Artificial Intelligence and Data Science)
Electronics and Communication Engineering
Electrical & Electronics Engineering
PG Courses
Master of Business Administration
M.Tech - Transportation Engineering
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CSE (Artificial Intelligence & Machine Learning)
Department Objectives
• To prepare graduates to address real-world challenges in computing by applying principles of Artificial Intelligence and Machine Learning.
• To equip students with strong analytical and problem-solving skills for higher education, research, and professional practice.
• To provide a solid foundation in mathematics, computing, and engineering concepts for developing intelligent systems.
• To develop professional competencies such as communication, teamwork, ethical practices, and lifelong learning.
Long Term Goals
• To establish the department as a centre of excellence in intelligent computing and emerging technologies.
• To promote interdisciplinary research and collaboration with industry and academic institutions.
• To encourage innovation and entrepreneurship among students in technology-driven domains.
• To strengthen research facilities and laboratories to support advanced learning and development.
• To enhance faculty expertise through research, training, and academic collaborations.
Short Term Goals
• To build strong fundamentals in computing and intelligent system design.
• To introduce value-added courses aligned with current technological trends.
• To encourage students to participate in technical events, hackathons, and competitions.
• To improve practical exposure through projects and hands-on learning.
• To adopt effective teaching-learning practices for better academic outcomes.
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