Malla Reddy Technical Campus

A Constituent Unit of

Malla Reddy Vishwavidyapeeth

( Deemed to be University )

Approved by UGC & AICTE, New Delhi

Robotics and Artificial Intelligence (AI)

B.Tech in Robotics and Artificial Intelligence (AI)

Shaping the Future with Intelligent Machines and Smart Robotics

Why Choose Computer Science and Biosciences?

  • Innovative Curriculum – A unique blend of Robotics, Artificial Intelligence, Machine
    Learning and automation systems designed to prepare students for the future of intelligent
    robotics.
  • Hands-on Learning – Practical training in building, programming and deploying robots and
    intelligent systems through projects, simulations and live labs.
  • AI-Driven Robotics – Gain expertise in designing autonomous systems, machine learning
    algorithms and computer vision for real-world robotic applications.
  • Industry-Focused Education – Exposure to cutting-edge technologies like deep learning,
    natural language processing, reinforcement learning and robotics in industries like
    healthcare, manufacturing and defense.
  • Expert Faculty – Learn from experienced professionals and researchers in the fields of
    robotics, AI and automation.

Program Highlights

  • Core subjects in robotics, AI, machine learning, automation and control systems.
  • Hands-on experience with robotic arms, drones, autonomous vehicles and robotic simulation
    platforms.
  • Learn programming languages such as Python, C++ and tools like ROS (Robot Operating
    System) for robotics development.
  • Study AI algorithms for autonomous systems, reinforcement learning, computer vision and
    natural language processing.
  • Real-world Capstone Projects, internships and collaborations with leading robotics and AI
    companies.
  • Exposure to AI ethics, human-robot interaction and safety standards in robotics.

Career Opportunities

Robotics Engineer

Autonomous Vehicle Engineer

Robotics Software Developer

Automation Engineer

Research Analyst (AI & Robotics)

AI Research Scientist

Machine Learning Engineer

Computer Vision Engineer

AI/Robotics Consultant

Control Systems Engineer

Program Overview

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

Designed to equip students with the knowledge and skills to design and develop intelligent systems
that can perform tasks autonomously to solve complex problems in industries like healthcare,
manufacturing, transportation and more.

Placement Opportunities @
Boston Dynamics | Tesla | Google | NVIDIA | ABB | iRobot | Blue Origin | Microsoft | Amazon
Robotics | Accenture | Cognizant