Artificial Intelligence and Data Science

The Department of Artificial Intelligence (AI) & Data Science, established in session 2021-22, is committed to advancing education and innovation in the rapidly evolving fields of AI and data science. From 2024-25 the annual intake of 90 students for the B.Tech. program, approved by AICTE, New Delhi, RTM Nagpur University, Directorate of Technical Education (DTE), Maharashtra. At departmental level, under banner of departmental forum FACEIT, student under guidance of teaching faculties, organize different technical, curricular and Extra-Curricular activities.Dr. Sanjay M. Malode is the Head of the Department. The department provides a comprehensive curriculum that emphasizes both theoretical foundations and practical applications.

The program focuses on key domains such as Machine Learning, Natural Language Processing, and Computer Vision, empowering students to develop intelligent systems capable of learning from data, understanding human language, and interpreting visual content. In addition, students gain in-depth knowledge of data science methodologies, including Data Mining and Big Data Analytics, essential for deriving insights from complex datasets.

The department emphasis on its modular learning approach, which ensures a balanced integration of classroom instruction with hands-on experience. Students are trained using the latest tools and technologies to solve real-world problems across diverse sectors such as business, healthcare, finance etc.

To foster interdisciplinary learning and broaden the impact of AI education across engineering disciplines, the department also offers multidisciplinary minor programs for students of other engineering branches. These include a track in “Artificial Intelligence” for Computer Science and IT students, covering areas such as Fundamentals of AI, Machine Learning, Statistical Analysis and Data Computing, and AI in Practice, culminating in a capstone project; and another track in “Fundamentals of Artificial Intelligence & Data Science” for students from Civil, Mechanical, and Electronics disciplines, focusing on Python Programming, Data Science Basics, Introduction to AI, and Machine Learning Fundamentals concluding with a capstone project serving as its practical application. These tracks aim to equip students from varied engineering backgrounds with essential AI and data science competencies relevant to their core domains.

To stay aligned with industry trends and academic advancements, faculty members actively participate in short-term training programs, faculty development initiatives, conferences, and workshops conducted by reputed organizations and institutions. Their continuous professional development directly contributes to enriching the student learning experience.