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DYP-ATU
D. Y. Patil Agriculture and Technical University

B.Tech. CSE (Data Science)

Undergraduate · Data Science

Purpose

Vision & Mission

Vision

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

Mission

  1. 1M1: To foster analytical and computational excellence through innovative learning.
  2. 2M2: To encourage research and industry collaborations for real-world applications.
  3. 3M3: To develop ethical, socially responsible, and employable data professionals.
  4. 4M4: To integrate global standards and emerging technologies in data science education.
Overview

About the Program

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.

Outcomes

Programme Outcomes

Program Educational Objectives (PEOs)

3 points
1

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.

2

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.

3

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.

Programme Specific Outcomes (PSOs)

2 points
1

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.

2

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.

Faculty, laboratories and research

Shared across every program in Data Science.

Visit the department