About Department CSE (Data Science) - BRIL 
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🎓 Admissions Open for 2026-2027  |  Call us: +91-990-881-0491  |  WhatsApp Now       🎓 Admissions Open for 2026-2027  |  Call us: +91-990-881-0491  |  WhatsApp Now      
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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About Department

CSE (Data Science)
B.Tech · 4 Years  ·  60 Seats

CSE (Data Science)

Developing expertise in extracting meaningful insights from data using advanced analytical tools and techniques.

Data Science
60 Seats
CSE (Data Science) – BRIL Hyderabad
CSE (Data Science) – BRIL Hyderabad

About the Department

The B.Tech in Computer Science and Engineering with specialization in Data Science at Brilliant Institute of Engineering and Technology is designed to equip students with the knowledge and skills needed to analyze and extract valuable insights from vast amounts of data. This program covers key areas such as big data analytics, machine learning, statistical modeling, and data visualization.

Main Targets

  • • To develop expertise in data analysis, statistical modeling, and machine learning algorithms.
  • • To provide hands-on experience in managing large datasets and extracting actionable insights.
  • • To teach students how to apply data science techniques to solve real-world problems in business, healthcare, finance, and beyond.

Future Applications

  • Predictive Analytics: Data scientists will play a critical role in predictive modeling for industries like healthcare, finance, and retail.
  • Big Data and Cloud Computing: With the growth of big data, the need for data engineers and scientists to process, analyze, and visualize data will continue to rise.

Outcomes

Graduates will be able to:

  • • Analyze and interpret complex datasets to inform business decisions.
  • • Apply machine learning algorithms for predictive analytics and data mining.
  • • Develop data visualization tools to present insights in an easily understandable format.

Latest Trends

  • Deep Learning: Deep learning models are being used to extract more accurate insights from unstructured data such as images, text, and audio.
  • Artificial Intelligence in Data Science: AI techniques are becoming increasingly important in automating data analysis and improving predictive model accuracy.

Career Opportunities

Graduates can explore careers in:

  • • Data scientists and data analysts
  • • Business intelligence developers
  • • Machine learning engineers
  • • Data engineers
  • • Research analysts
For admissions, contact +91 9908810491

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