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Vision

PEOs of the CSE (Data Science) department

  • PEO 1 : To excel in a professional career in artificial intelligence, data science engineering, and related interdisciplinary domains by applying advanced knowledge and practical skills.
  • PEO 2 : To demonstrate a strong foundational understanding that supports higher education, research endeavors, and innovation in emerging areas of technology.
  • PEO 3 : To embody professional ethics, a commitment to lifelong learning, leadership qualities, and a collaborative spirit aimed at contributing meaningfully to society and promoting environmental sustainability.

Dr.Rupali A Mahajan
Associate Professor and Head

The Department of Data Science plays a vital role in enabling this transformation. From predictive analytics to advanced machine learning models, our focus is on equipping students with the tools and skills necessary to make sense of complex data and contribute to solving real-world challenges. Whether it is optimizing business processes, forecasting market trends, or improving public health outcomes, data science is making a measurable impact.

In particular, the role of data science in healthcare has been transformative—empowering diagnostics, personalizing treatments, predicting disease outbreaks, and enhancing patient care through data-driven decision-making. Beyond healthcare, its applications span finance, agriculture, social sciences, manufacturing, and beyond—fueling innovation, efficiency, and better decision-making.

Our department is equipped with state-of-the-art laboratories, high-performance computing resources, and industry-relevant tools that support both teaching and research. We are committed to delivering quality technical education that empowers students to become future-ready data scientists, analysts, and AI professionals. The curriculum is designed to be both rigorous and flexible, enabling students to gain strong theoretical foundations while also engaging in hands-on learning and interdisciplinary projects.