Department
Department
The Department of Computer Science & Engineering (Data Science), established in the academic year 2021–2022, offers a 4-year B.Tech. The department is committed to providing quality education in Data Science through a curriculum that integrates Computer Science, Artificial Intelligence, Machine Learning, and Big Data Analytics. With a focus on industry-oriented learning, research, innovation, and practical skill development, the department prepares students to excel in the rapidly evolving data-driven world.
To nurture globally competent data science professionals through innovation, research, and interdisciplinary learning for solving real- world challenges.
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.
PEO1:
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.
PEO2:
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.
PEO3:
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.
PSO 1: 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.
PSO 2: 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.
Associate Professor & HoD
Data Science
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.
Select a program to view its course structure, board of studies, time table and previous question papers.
Our curriculum focuses on measurable learning outcomes, which ensures students gain practical skills and competencies that align with industry demands and career success.
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