Admissions Open For 2025-26 | B.Tech | M.Tech | MBA | BBA | BCA | MCA | Ph.D

Malla Reddy Technical Campus

A Constituent Unit of

Malla Reddy Vishwavidyapeeth

( Deemed to be University )

Approved by UGC & AICTE, New Delhi

B.Tech In Computer Science & Engineering (Data Science)

Turning Data into Insight, Insight into Innovation.

Graduates-MRTC

Program Overview

  • Duration: 4 Years (8 Semesters)
  • Eligibility: 10+2 or Equivalent
  • Approval: UGC & AICTE Recognized

Designed to equip students to extract insights from large datasets, apply machine learning algorithms and build predictive models to make data-driven decisions

Program Highlights

Core Computer Science subjects

Specialized Data Science modules like data mining, machine learning, predictive analytics and statistical modeling.

Code

Programming in Python, R, SQL, Hadoop, Spark and more to handle and process large datasets.

Capstone Projects and Internships

With industry partners to work on real-world data science challenges.

Exposure to Data Ethics

Understanding the responsible use of data and ethical considerations in data science.

Collaborate

Workshops, Hackathons and Guest Lectures from industry experts in data science and analytics.

Why Choose ?
Computer Science & Engineering
(Data Science)

  • Industry-Relevant Curriculum – Focused on data analysis, big data technologies, machine learning, data visualization and statistical modeling.
  • Hands-on Learning – Real-world projects, coding labs and data-driven research.
  • State-of-the-Art Labs – Advanced computing labs equipped with high-performance systems, big data tools and analytics platforms.
  • Expert Faculty – Learn from Ph.D. scholars, data scientists and industry professionals with experience in the global data landscape.
  • Career-Focused – High demand in industries like finance, healthcare, e-commerce, social media and more, with a growing need for data-driven decision-makers.

Career Opportunities

Data Scientist

Data Analyst

Machine Learning Engineer

Business Intelligence Analyst

Big Data Engineer

Data Engineer

Data Visualization Specialist

AI Researcher (Data Science Focus)

Research Analyst (Data Science & Analytics

Placement Opportunities

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Turning Data into Insight, Insight into Innovation.

Why Choose Computer Science & Engineering (Data Science)?

  • Industry-Relevant Curriculum – Focused on data analysis, big data technologies, machine
    learning, data visualization and statistical modeling.
  • Hands-on Learning – Real-world projects, coding labs and data-driven research.
  • State-of-the-Art Labs – Advanced computing labs equipped with high-performance
    systems, big data tools and analytics platforms.
  • Expert Faculty – Learn from Ph.D. scholars, data scientists and industry professionals with
    experience in the global data landscape.
  • Career-Focused – High demand in industries like finance, healthcare, e-commerce, social
    media and more, with a growing need for data-driven decision-makers.

Program Highlights

  • Core Computer Science subjects + specialized Data Science modules like data mining,
    machine learning, predictive analytics and statistical modeling.
  • Programming in Python, R, SQL, Hadoop, Spark and more to handle and process large
    datasets.
  • Capstone Projects and Internships with industry partners to work on real-world data
    science challenges.
  • Exposure to Data Ethics – Understanding the responsible use of data and ethical
    considerations in data science.
  • Workshops, Hackathons and Guest Lectures from industry experts in data science and
    analytics.

Career Opportunities

Data Scientist

Machine Learning Engineer

Big Data Engineer

Data Visualization Specialist

Research Analyst (Data Science & Analytics)

Data Analyst

Business Intelligence Analyst

Data Engineer

AI Researcher (Data Science Focus)

Program Overview

Program Overview

  • Duration: 4 Years (8 Semesters)
  • Eligibility: 10+2 or Equivalent
  • Approval: UGC & AICTE Recognized

Designed to equip students to extract insights from large datasets, apply machine learning
algorithms and build predictive models to make data-driven decisions.


Placement Opportunities @
Google | Amazon | Accenture | TCS | Cognizant | IBM | Microsoft | Deloitte | JP Morgan |
Capgemini