About the Department of Data Science

Shri Ram Murti Smarak College of Engineering and Technology, Bhojipura, Bareilly

Established in 2025, the Department of Data Science is a dynamic and forward-thinking academic unit dedicated to preparing students for the data-driven future. In an era where information is the new currency, we nurture analytical thinkers, innovators, and problem-solvers capable of transforming data into actionable insights for real-world impact.

As W. Edwards Deming remarked, “In God we trust. All others must bring data.” Guided by this philosophy, our department is committed not only to teaching concepts but to cultivating a mindset attuned to inquiry, exploration, and innovation. Every classroom lecture, practical lab, and hands-on project is designed to spark curiosity, creativity, and critical thinking.

Our pedagogical approach emphasizes algorithmic thinking, data visualization, artificial intelligence, and ethical use of data—empowering students with the ability to derive meaningful patterns and make evidence-based decisions. The curriculum blends theoretical depth with practical implementation through modern lab facilities, research exposure, and industry collaboration.

From guided machine learning assignments to hackathons and case-based competitions, we foster an environment where every student learns by doing. We shape aspiring data scientists who think analytically, code intelligently, and act ethically—ready to lead in global industries, research organizations, and entrepreneurial ventures.

Courses Offered

B.Tech in Computer Science and Engineering (Data Science) is a four-year undergraduate program affiliated with Dr. A.P.J. Abdul Kalam Technical University (AKTU). This course focuses on computational thinking, statistics, machine learning, and big data technologies to equip students with the skills needed to analyze complex datasets and extract valuable insights. Students engage in hands-on projects, analytical tool training, and industry-relevant learning modules that bridge the gap between theory and practice.

Intake : 30 seats.

Our Differentiators:

  • Modern Data Science Lab with high-performance systems and licensed tools for data analytics, AI/ML model training, and cloud-based computation

  • Interdisciplinary learning approach combining computing, statistics, and domain applications

  • Focus on real-world projects, Kaggle challenges, and analytical reasoning activities

  • Regular Data Science Conclave, seminars, and hackathons under the department’s technical club.

  • Holistic development through personality enhancement, problem-solving workshops, and career-readiness training.

The Department of Data Science is dedicated to shaping empowered professionals with analytical acumen, logical thinking, and an innovation-driven mindset. Join us in exploring the limitless opportunities within the world of data.