Program Overview

Data is the backbone of modern decision-making. The B.Tech in Computer Science & Engineering with a specialization in Data Science at Sreenidhi University trains students to extract actionable insights from massive datasets. The program blends computing fundamentals with statistical and analytical techniques essential for data-driven innovation.

Students gain a strong foundation in programming, databases, and algorithms, followed by specialized study in data mining, big data analytics, machine learning, and data visualization. Tools like Python, R, SQL, and Power BI are integrated into the hands-on learning experience.

Led by faculty with both academic credentials and industry exposure, the program fosters analytical thinking, research capabilities, and domain knowledge across sectors.

Career Outcomes

Graduates of the DS specialization can pursue high-impact roles.

Domains

  • Data Analyst
  • Data Scientist
  • Business Intelligence Analyst
  • Big Data Engineer
  • Data Engineer
  • Research Analyst
  • Machine Learning Specialist
  • Statistician
  • AI/ML Product Analyst

B-Tech CSE - DS
Career Oppurtunities

Dr Karthikeyan

Dean - SoE

Program Details

B Tech CSE - Data Science

  • Eligibility

    Please contact the Admissions Office for eligibility details.

  • Curriculum

    Students gain a strong foundation in programming, databases, and algorithms, followed by specialized study in data mining, big data analytics, machine learning, and data visualization. Tools like Python, R, SQL, and Power BI are integrated into the hands-on learning experience.

  • Fees

    Please contact the Admissions Office for fee structure.

  • Labs

    Dedicated computer labs for programming, system design, and data analytics provide a hands-on learning environment supported by the latest technology.

Course Structure

B Tech CSE – Data Science program is structured to fulfil a defined set of credit requirements, along with program-specific criteria, culminating in the award of the degree.

This student-centric approach, enriched with innovation and design thinking, emphasizes:

  • > Flexibility in Course Selection
  • > Self-Paced Learning Options
  • > Interdisciplinary Integration
  • > Credit-Based Evaluation Systems


By incorporating innovation and design thinking, this framework encourages students to think creatively, solve complex problems, and personalize their learning journey, while promoting holistic development and skill enhancement.

Course Credit Structure


Credits are allocated to courses based on the L-T-P-S structure.

  • > Every Lecture or Tutorial hour equals 1 credit
  • > Every Practical hour equals 0.5 credits
  • > Every Skill-based practice hour equals 0.5 credits

B.Tech CSE – Data Science – PSO & PO

B.Tech CSE – Data Science – Program Structure

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