B.Sc. in Data Science
B.Sc. in Data Science
Empowering the next generation of leaders in using data for innovation and analytical excellence
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B.Sc. in Data Science
The B.Sc. in Data Science is a comprehensive 4-year program designed to equip students with expert knowledge in data analysis and visualization. This course at Inspiria prepares students for diverse job roles, including Business Intelligence Analyst, Data Scientist, Database Administrator and many more. Through a strategic blend of theoretical foundations and practical applications, students gain the skills necessary to navigate the dynamic field of data science.
- Practice-based learning
- Industry-oriented syllabus
- Affiliated to MAKAUT
Events & Workshops
Faculties
Subhro Sarkar
MSc. in Computer Science.
Qualified NET.
BSc. In Computer Science.
Anannya Konar
B.Ed, The University of Burdwan.
M.Sc. in Statistics, University of Calcutta.
B.Sc. (Hons) in Statistics, The University of Burdwan
Faculties
Subhro Sarkar
- MSc. in Computer Science
- Qualified NET
- BSc. In Computer Science.
Anannya Konar
- B.Ed, The University of Burdwan
- M.Sc. in Statistics, University of Calcutta
- B.Sc. (Hons) in Statistics, The University of Burdwan
Highlights of the programme
Career opportunities
From the plethora of opportunities to choose from, B.Sc. in Data Science degree offers exciting and satisfying career opportunities.
Data Scientist
Business Analyst
Data Solutions Analyst
Data mining Expert
Data Analyst
Machine learning Expert
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Frequently asked question
Yes, Students passing 12th from any recognised board with English as a subject are eligible to pursue their bachelor’s in Data Science.
Yes, At Inspiria we emphasise practical learning through hands-on exercises, projects, and real-world datasets. You’ll have the opportunity to apply theoretical concepts to solve practical problems, work on data analysis projects, and build machine learning models from scratch.
Graduates of this course can pursue various career paths in data science, including data analyst, machine learning engineering, data scientist, business intelligence analyst, and more. The demand for skilled data professionals is high across industries, offering ample opportunities for career growth and advancement.
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