Department of Engineering & Technology

Department of ----

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.
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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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Prof. (Dr.) Sangram T. Patil

Director (Academics)

Ph. D. (Computer Science & Engineering)
M. Tech., B.E. (CS)

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

CSE

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AIML

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Data Science

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Food Technology

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Faculty

Faculty Teaching environment and quality are central to SRMIST’s capabilities profile. Our Professors are the reason for our continued ability to foster vibrant and value adding learning experiences for our students. The success of our students in terms of their learning and overall development enabled by our faculty members is an area of focus of leadership at SRMIST. Many opportunities are provided to our faculty members to conduct research and engage with the industry in consultancy and other projects. This platform brings to our faculty members an opportunity to expand their knowledge contribution as well as bring those rich experiential inputs to the classrooms and labs therefore benefiting our students.

News & Updates

Infrastructure

Computer Lab 1

Contact Us

Department of AI & ML
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