Computer Science & Engineering – AIMLHighlights
- 75% students placed in different companies.
- 4 startups have been initiated by students and faculty members
- 34 innovation projects, ADS projects and 16 RWD projects have been completed.
- 25 patents, Filed by the faculty and students
- 26 qualified faculty members are available in the department.
- 8 well-equipped laboratories are available in the department.
- 99 research papers published by the department.
- ₹3.78 lakhs received for research fund and consultancy.
- 11 Active MoUs with industries and academic partners.
AboutComputer Science & Engineering – AIML
The B.Tech in Computer Science and Engineering (Artificial Intelligence & Machine Learning) is a forward-looking undergraduate programme meticulously designed to cultivate expertise in transformative technologies that are redefining the digital landscape. The curriculum delivers advanced learning experiences centered on artificial intelligence, machine learning, and deep learning—empowering students with the intellectual acumen required to thrive in an era driven by intelligent automation.
This specialization equips students to architect and develop intelligent systems, next-generation software, and data-driven applications by integrating machine learning, analytics, and visualization technologies. At its core, artificial intelligence focuses on enabling computers to learn from data and experience, thereby solving complex real-world problems with precision and adaptability.
The programme provides comprehensive exposure to impactful AI applications, including predictive analytics for customer behavior and financial decision-making, facial and speech recognition, intelligent robotics optimized for resource efficiency, and knowledge extraction from bioinformatics data. Such experiential learning ensures that graduates are prepared to address contemporary industry challenges with confidence and ingenuity.
Designed with an interdisciplinary perspective, the curriculum explores AI methodologies drawn from diverse domains such as neural networks, signal processing, control systems, and data mining, offering a cohesive and sophisticated understanding of machine learning paradigms and solution strategies.
Through a harmonious blend of theoretical rigor and practical immersion, the department is committed to nurturing innovative thinkers and future-ready professionals capable of leading advancements in artificial intelligence and machine learning on a global stage.
Vision
To be recognized as a department of excellence by stimulating a learning environment in which students and faculty will thrive and grow to achieve their professional, institutional and societal goals.
Mission
- To provide high quality technical education to students that will enable life-long learning and build expertise in advanced technologies in Computer Science and Engineering.
- To promote research and development by providing opportunities to solve complex engineering problems in collaboration with industry and government agencies.
- To encourage professional development of students that will inculcate ethical values and leadership skills while working with the community to address societal issues.
