Department of Data Science

The development of Data Science occurred due to the rapid growth of data and the rising demand for qualified experts to extract useful insights from it. The department utilises principles from computer science, statistics, and domain expertise to teach students the skills needed to solve real-life problems through data.

Students can enroll in the B.Tech program of Data Science at the department through its association with Rajasthan Technical University, Kota. The educational framework implements a foundation-based learning system incorporating machine learning, artificial intelligence, big data analytics, data mining, statistical modelling, visualisation, and cloud computing. The department works towards developing data-proficient leaders who will shape the future.

A remarkable achievement at the Department of Data Science includes securing professional placements for 80-90% of their students yearly in leading firms that span information technology and finance as well as healthcare, e-commerce, consulting sectors and research.

The department achieves practical industrial exposure by participating actively in:

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  The department conducts industrial expeditions and invites experts who work in the fields of data science and analytics.

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  The department secures 80–90% of annual placements directing students into major companies across the IT sector and beyond while involving them in significant projects with leading organisations.

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  The department uses collaborative workshops alongside hackathons as well as data challenges.

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  The department enables teaching staff to join partnerships with analytics companies that provide educational and consulting resources.

Mission :-

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  The department aims to establish data science and analytics fundamentals which develop skills for problem-solving and decision-making.

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  The establishment of a research environment will allow students to innovate in data engineering as well as AI and ML through the development of technological solutions.

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  The organisation wants to close this academic-industry divide through partnerships, education initiatives and joint project engagements.

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  The organisation focuses on developing ethical data specialists who will employ data effectively for social and commercial advancement.