Computer Science and Engineering

Data Science

Analytics

End-to-end data projects

Big data

Modern tooling exposure

Insights

Business decision support

Dr. Shivaprasad Satla

Professor & HOD

B.Tech, M.Tech, Ph.D, PDF

The programme builds competency in data wrangling, visualization, predictive modelling, and deployment of analytics solutions for real-world datasets.

Programme & approved intake

ProgrammeApproved Intake
B.Tech (Computer Science and Engineering – Data Science)720

The programme is affiliated to JNTU.

Key highlights

  • AICTE Approved Data Science Graduate Degree
  • Industry Attachments: Seminars, Conferences, Workshops & Industry Visits
  • 360-degree career support
  • In-house real-time mini and major projects
  • Campus placement drives with top MNCs

Top subjects

Data Preparation and Analysis, Data Structures, Statistics for Data Science, Fundamentals of Artificial Intelligence

Career pathways

Data Scientist, Machine Learning Engineer, Statistician, Applications Architect, Data & Analytics Manager, Data Architect, Data Engineer, BI Developer, Data Analyst

  • UG intake: 720
Data Science

Head of Department

Dr. Shivaprasad Satla

Professor & HOD

B.Tech, M.Tech, Ph.D, PDF