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

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

UG Students
0
PG Students
0

Dr. Jaydeep Patil

DEAN

School of Engineering & Technology

User Icon-myicon2mail-alt Linkedin Whatsapp

It gives me immense pleasure to extend a warm welcome to all aspiring engineers to the School of Engineering and Technology, D. Y. Patil Agriculture and Technical University, Talsande, Kolhapur, and to wish them a fruitful, enriching, and memorable academic experience at our institute.

The School offers Undergraduate, Postgraduate, and Ph.D. programs in Computer Science Engineering (CSE) with Artificial Intelligence and Machine Learning, CSE with Data Science, Agricultural Engineering, and Food Technology.

The Agricultural Engineering program offers specialized streams in Farm Machinery and Power Engineering, Processing and Food Engineering, Irrigation and Drainage Engineering, Soil and Water Conservation Engineering, and Renewable Energy Engineering.

We are also proud to introduce 6-year Integrated Undergraduate Degree Programs, which provide a seamless and structured academic pathway, fostering strong foundational knowledge, advanced technical expertise, and research orientation.

We are committed to academic excellence, industry-aligned education, research, and innovation. Students benefit from state-of-the-art laboratories, highly experienced and dedicated faculty, and globally recognized certifications such as IBM, Microsoft, Cisco, AWS, UiPath, and Unity, supported by NSDC.

Strong industry engagement through guest lectures, internships, and industrial visits ensures holistic professional development.

To enhance student comfort and well-being, the University provides well-furnished hostel facilities and reliable transport services for nearby regions, ensuring a safe and student-friendly campus environment.

Nestled in a green and vibrant campus, we cultivate creativity, teamwork, leadership, ethical values, and lifelong learning, empowering students to confidently address global technological challenges.

I cordially invite you to join our dynamic academic community and wish you a successful, inspiring, and fulfilling academic journey with us.

Dr. Shrikant D. Bhopale

HOD & Associate Professor

User Icon-myicon2mail-alt Linkedin Whatsapp

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 Outcomes (POs)

  • Engineering Knowledge

    Apply knowledge of mathematics, natural science, computing, engineering fundamentals, and an engineering specialization to develop solutions to the complex engineering problems.

  • Problem Analysis

    Identify, formulate, review research literature, and analyze complex engineering problems, reaching substantiated conclusions with consideration for sustainable development.

  • Design/Development of Solutions

    Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society, and environment as required.

  • Conduct Investigations of Complex Problems

    Conduct investigations of complex engineering problems using research-based knowledge, including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions.

  • Engineering Tool Usage

    Create, select, and apply appropriate techniques, resources, and modern engineering & IT tools, including prediction and modelling, recognizing their limitations to solve complex engineering problems

  • The Engineer and The World

    Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture, and environment.

  • Ethics

    Apply ethical principles and commit to professional ethics, human values, diversity, and inclusion; adhere to national & international laws.

  • Individual and Collaborative Team work

    Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.

  • Communication

    Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, and make effective presentations considering cultural, language, and learning differences.

  • Project Management and Finance

    Apply knowledge and understanding of engineering management principles and economic decision-making, and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.

  • Life-Long Learning

    Recognize the need for, and have the preparation and ability for i) independent and life-long learning, ii) adaptability to new and emerging technologies, and iii) critical thinking in the broadest context of technological change.

  • 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

Contact Us

Department of CSE
Scroll to Top