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Abdullapurmet, Hyderabad - 501 505 | Near Ramoji Film City
Brilliant Institute of Engineering and Technology
BRILLIANT INSTITUTE OF ENGINEERING & TECHNOLOGY
UGC AUTONOMOUS INSTITUTION
Accredited by NAAC with "A" Grade  |  Approved by AICTE  |  Affiliated to JNTU-H
Abdullapur (V), Abdullapurmet (M), Rangareddy (D), Hyderabad - 501 513
BRILLIANT INSTITUTE OF ENGINEERING & TECHNOLOGY
UGC AUTONOMOUS INSTITUTION
Accredited by NAAC with "A" Grade  |  Approved by AICTE  |  Affiliated to JNTU-H
Abdullapur (V), Abdullapurmet (M), Rangareddy (D), Hyderabad - 501 513
EAPCET / ECET / POLYCET / PGECET / ICET Code: BRIL
18 Years
AICTE
JNTU-H
UGC
NAAC A Grade
NIRF
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Library

Library - CSE (Data Science)
Department Library

Department of CSE (Data Science)

Supporting academic excellence through curated resources, digital access, and a student-centred learning environment since 2021.

Dept Library
75+
Volumes
60+
Titles
IEEE
Digital Access
NPTEL
E-Learning

About the Library

The Department Library of CSE (Data Science) was established when the programme commenced in 2021. The collection has been built to support the analytical and computational demands of data science education.

In four years, the library has developed a practical set of resources covering data analytics, statistical modelling, big data technologies, and business intelligence. The focus is on resources that bridge academic learning with real-world data challenges across industries.

Library Resources & Facilities
  • Collection of 75+ volumes and 60+ titles in data science
  • Core textbooks on data analytics, Python, R, and statistical methods
  • Reference books on big data, Hadoop, Spark, and data visualisation
  • Publications on machine learning, predictive analytics, and ETL processes
  • Study materials for Google Data Analytics, Power BI, and placement preparation
  • Resources supporting B.Tech project work and data analysis activities
Digital Access & E-Resources
  • IEEE Xplore — data science and computing research papers
  • ACM Digital Library — data management and analytics publications
  • Springer & ScienceDirect — journals on data science and statistics
  • NPTEL — data science and analytics courses by IIT faculty
  • E-books and online resources supporting project and research work
NAAC 'A' Grade Accredited Institution

The department library is maintained in accordance with NAAC accreditation standards. Resources are periodically reviewed and updated to align with curriculum requirements, outcome-based education (OBE) frameworks, and quality benchmarks prescribed by statutory bodies.

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