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.
Prof. (Dr.) Yuvaraj M. Patil
DEAN
School of Engineering & Technology
Message from the Dean
Welcome to the School of Engineering & Technology It gives me immense pleasure to welcome you to the School of Engineering & Technology, where we are committed to nurturing future-ready engineers, innovators, entrepreneurs, and responsible professionals equipped to address the challenges of a rapidly evolving world. The School offers Undergraduate, Postgraduate, and Ph.D. programs in Computer Science Engineering (CSE) with Artificial Intelligence & Machine Learning, CSE with Data Science, Electronics & Telecommunication Engineering, Mechanical Engineering, Civil Engineering, Agricultural Engineering, and Food Technology. The Agricultural Engineering program provides specialized streams in Farm Machinery & Power Engineering, Processing & Food Engineering, Irrigati on & Drainage Engineering, Soil & Water Conservation Engineering, and Renewable Energy Engineering. We are also proud to offer 6-year Integrated Undergraduate Degree Programs, providing a seamless academic pathway with strong foundations, advanced technical expertise, and research orientation. Our commitment to academic excellence, industry-aligned education, research, and innovation is supported by state-of-the-art laboratories, experienced and dedicated faculty, and globally recognized certifications from IBM, Microsoft, Cisco, AWS, UiPath, and Unity, supported by NSDC. Through Outcome-Based Education, interdisciplinary and project-based learning, skill development, internships, Centres of Excellence, and strong industry-academia collaboration, students gain meaningful exposure to emerging areas such as Artificial Intelligence, Machine Learning, Data Science, loT, Cyber Security, Robotics, Automation, VLSI, Semiconductor Technology, Advanced Communication, Agriculture, Food, and Sustainable Technologies. We believe engineering education must extend beyond the classroom. Our focus is on combining fundamental knowledge with hands-on learning, research, innovation, real-world projects, and industry exposure. Guest lectures, internships, industrial visits, and collaborative initiatives help students develop practical skills and a holistic professional outlook. We encourage a strong culture of research, patents, publications, entrepreneurship, and start-ups, while creating opportunities for collaboration with industries, research organizations, and national and international academic institutions. Our dedicated faculty members foster a student-centric learning environment that promotes critical thinking, creativity, leadership, teamwork, ethical values, effective communication, social responsibility, and lifelong learning. We aim to develop engineers who possess not only technical competence but also the adaptability and professional values needed to contribute meaningfully to society. The University also provides well-furnished hostel facilities and reliable transport services for nearby regions, ensuring student comfort, safety, and well-being. Set within a green and vibrant campus, the School provides an environment that encourages creativity, collaboration, leadership, and innovation. I encourage every student to Dream Big, Learn Continuously, Innovate Fearlessly, and Serve Society Responsibly. Make the best use of the opportunities available to you, participate actively in academic and extracurricular activities, undertake meaningful projects, develop industry-relevant skills, and continuously upgrade yourself. Together, let us build a vibrant School of Engineering & Technology that contributes to academic excellence, technological innovation, entrepreneurship, and nation building. I wish all our students, faculty members, staff, alumni, and stakeholders a successful, enriching, and fulfilling journey towards excellence.
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.
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.
Programme Educational Objectives (PEOs)
-
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
Passport-Size Photograph
Found – we have found Passport-Size Photograph When – 16/09/2026Where ...
Read More