B.Tech Data Science - SVS Engineering College Warangal

SVS Group | CSE (Data Science) | Program Overview

B.Tech Specialization | AICTE Approved

CSE (Data Science)

The Department of CSE (Data Science) at SVS is an elite academic unit engineered for the era of Big Data. Recognizing that information is the primary catalyst for global innovation, our program provides a high-caliber fusion of mathematical rigor and computational prowess. We empower our students to transform raw, unstructured data into actionable intelligence, equipping them to lead strategic transitions across the world's most data-driven industries.

Vision

To become a center of excellence in Computer Science and Data Science education and research, fostering innovation, entrepreneurship, and social impact through data-driven solutions.

Mission

To provide high-quality education in Computer Science and Data Science, equipping students with in-demand technical and analytical skills.
To foster research and innovation in emerging areas such as Artificial Intelligence, Machine Learning, and Data Analytics.
To build strong industry–academia collaborations for practical exposure and real-world problem-solving.
To nurture responsible professionals who contribute ethically to technological advancement and societal well-being.
To cultivate an environment that encourages lifelong learning, interdisciplinary thinking, and leadership.

Program Educational Objectives (PEOs)

Core Knowledge & Technical Proficiency

Core Knowledge: Equip students with a strong foundation in computer science, mathematics, and statistics to solve real-world data problems.
Technical Proficiency: Develop proficiency in programming, data mining, machine learning, big data technologies, and data visualization tools.

Career, Ethics & Lifelong Learning

Career Development: Prepare students for successful careers in data science, analytics, and software development, or for higher studies and research.
Ethics & Teamwork: Instill professional ethics, teamwork, communication skills, and a strong sense of social responsibility.
Lifelong Learning: Encourage continuous learning to adapt to evolving technologies and industry trends.

Program Outcomes (POs)

PO1: Engineering Knowledge

Apply knowledge of mathematics, science, and engineering fundamentals to solve complex computer science and data science problems.

PO2: Problem Analysis

Identify, formulate, review literature, and analyze complex problems using principles of data science.

PO3: Design/Development of Solutions

Design solutions for complex engineering problems and develop data-driven applications that meet specified needs.

PO4: Investigations of Complex Problems

Use research-based knowledge including data collection, analysis, and interpretation to draw valid conclusions.

PO5: Modern Tool Usage

Create, select, and apply appropriate techniques and modern tools for data science applications with understanding of limitations.

PO6: Engineer and Society

Apply contextual knowledge to assess societal, health, safety, legal, and cultural issues relevant to data-driven solutions.

PO7: Environment and Sustainability

Understand impact of data science solutions and demonstrate sustainable practices.

PO8: Ethics

Apply ethical principles and commit to professional ethics, responsibilities, and norms of data science practice.

PO9: Individual and Team Work

Function effectively as an individual and as a member or leader in diverse teams and multidisciplinary settings.

PO10: Communication

Communicate effectively on complex data science activities with engineering communities and society at large.

PO11: Project Management and Finance

Demonstrate knowledge of management principles and apply them to data science projects in multidisciplinary environments.

PO12: Lifelong Learning

Recognize the need for, and engage in, independent and lifelong learning in the context of technological change.

Program Specific Outcomes (PSOs)

PSO1: Data-Driven Problem Solving

Apply data science concepts, tools, and techniques to analyze, interpret, and solve complex problems.

PSO2: Software & Analytical Skills

Design and develop efficient data-centric applications using modern programming languages and analytical tools.

PSO3: Innovation & Research

Conduct research and innovation in data science fields such as Machine Learning, Artificial Intelligence, and Big Data to address societal and industrial needs.

🚀 AICTE Approved | Affiliated to JNTU Hyderabad | Center of Excellence in Data Science

The CSE (Data Science) program at SVS blends rigorous academics with hands-on big data analytics, AI/ML labs, and industry-aligned projects — producing data architects ready to lead the data-driven revolution.