About The School
The School of Data Science at Symbiosis Skills and Professional University aims to achieve excellence in computing disciplines.
The core focus is on training students to design and implement systems that integrate software and hardware, apply creative programming and problem-solving techniques, develop large-scale software systems, and build data/computing infrastructure for organizations.

Program Purpose
Data Science is a widely applied field across academia, business sectors, R&D, and more — vital for effective decision-making in everyday activities. The B.Sc. in Data Science program is designed to:
- Provide students with skill sets specific to Data Science
- Offer a balance of theoretical knowledge and hands-on experience
- Expose students to research models and industry-standard applications through guest lectures, seminars, projects, internships, group discussions, and industry activities
The curriculum emphasizes Application Creation, Data Science, and Machine Learning to ensure students graduate fully competent for the industry.
Program Highlights
Project-based
Project-based learning with industry collaboration
Skill Building
Skill building and practical implementation focus
Internship
Internship opportunities every year
Workshops
Workshops, guest lectures, and sessions with industry experts
Vision
To be a center of excellence in Data Science education and applied research, developing ethically responsible, industry-ready data professionals and innovators capable of transforming data into actionable intelligence toward sustainable societal and industrial growth.
Mission
- To impart outcome-based education blending theoretical foundations with hands-on industry-oriented skill development in data analytics, machine learning, and AI.
- To foster innovation, entrepreneurship, and problem-solving through experiential learning, real-world projects, and interdisciplinary collaboration.
- To promote ethical data practices, data privacy awareness, and responsible AI usage aligned with national and global standards.