Department of Data Science

Department of Data Science

About the Department

  • Modern Curriculum: The department offers an updated and industry-aligned curriculum covering key areas such as Data Science, Artificial Intelligence, Machine Learning, and Data Engineering, ensuring students gain relevant and current knowledge
  • Learning by Doing: Emphasis is placed on hands-on learning through projects, laboratory sessions and internship, enabling students to apply theoretical concepts to real-world problems.
  • Industry-Ready Skills: Students develop essential skills in programming, data analysis, machine learning, AI, and big data technologies, preparing them for roles that are in high demand across industries.
  • Business Applications of Data Science: Data Science enables businesses to recommend the right products to the right customers, improving customer satisfaction and business growth.
  • Sentiment Analysis: Students learn techniques to analyze customer opinions and feedback, helping organizations understand brand loyalty and customer preferences.
  • Informed Decision-Making: Through data-driven insights and analytical skills, students learn how Data Science supports companies in making faster, smarter, and more effective decisions.

Vision

To nurture globally competent data science professionals through innovation, research, and interdisciplinary learning for solving real- world challenges.

Mission

  • M1: To foster analytical and computational excellence through innovative learning.
  • M2: To encourage research and industry collaborations for real-world applications.
  • M3: To develop ethical, socially responsible, and employable data professionals.
  • M4: To integrate global standards and emerging technologies in data science education.

Faculty
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UG Students
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PG Students
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PhD Scholars
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Dr. Shrikant D. Bhopale

Associate Professor & HoD

M.E(CE), PhD (CSE)
Cloud Computing, Machine Learning, Deep Learning

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It gives me great pleasure to welcome you to the Department of Computer Science and Engineering (Data Science) at D. Y. Patil Agriculture & Technical University, Talsande. Our department is committed to providing a strong foundation in Data Science by integrating modern technologies such as Artificial Intelligence, Machine Learning, Data Engineering, and Big Data Analytics. With the guidance of experienced faculty and access to advanced tools and facilities, students gain both theoretical understanding and practical skills needed to excel in today’s data-driven world.

Data Science is impacting every industry—from agriculture and healthcare to finance, education, and business. Through hands-on projects, research opportunities, and industry collaborations, we prepare students to analyse data, build intelligent models, and provide meaningful insights for real-world decision-making. I encourage all students to actively participate in the learning process and make the most of the opportunities offered by the department. I wish you success as you embark on this exciting journey of innovation and growth.

Programs

B.Tech

M.Tech

Programme Specific Outcomes (PSOs)

  • Data Analytics and Modelling

    Graduates will be able to apply statistical methods, machine learning algorithms, and computational techniques to analyze, model, and interpret complex data for meaningful insights and informed decision-making.

  • Data Engineering and Deployment

    Graduates will be able to design, develop, and implement efficient data pipelines, database systems, and scalable solutions using modern tools and technologies for real-world data-driven applications.

  • Graduates will demonstrate strong analytical, computational, and problem-solving abilities through innovative and experiential learning approaches, enabling them to effectively address complex data-driven challenges in academia, industry, and research.

  • Graduates will engage in research and industry collaborations to develop practical and scalable data science solutions, fostering interdisciplinary innovation and entrepreneurship for real-world impact.

  • Graduates will uphold ethical standards, exhibit social responsibility, and adapt to global technological advancements while pursuing continuous learning and professional growth in data science and related fields.

Achievements

AY 2025-26
Sr. No. Name of Award Details of Contribution Related to the Award Awarded By Year of Award
1 Young Academician Award For outstanding contribution in the field of Artificial Intelligence in Agriculture Hindustan Agricultural Research Welfare Society 2024

News & Updates

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Department of CSE
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