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 & Data Science)
Department Objectives
• To prepare graduates to design and develop intelligent and data-driven solutions for complex problems.
• To provide strong knowledge in Artificial Intelligence, Data Science, and computing fundamentals.
• To build analytical and technical skills required for research, higher education, and industry.
• To develop professional competencies such as communication, teamwork, ethical responsibility, and lifelong learning.
Long Term Goals
• To establish the department as a centre of excellence in intelligent systems and data science.
• To promote interdisciplinary research and innovation in emerging technologies.
• To strengthen collaboration with industry, research organizations, and academic institutions.
• To develop advanced laboratories supporting intelligent and data-driven applications.
• To enhance faculty capabilities through research, training, and academic exchange.
Short Term Goals
• To build strong foundations in computing, data analysis, and intelligent systems.
• To introduce add-on courses and workshops in current technologies.
• To encourage students to participate in technical competitions and projects.
• To improve hands-on learning through laboratory and project-based approaches.
• To adopt effective outcome-based education practices for continuous improvement.
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