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

M.Tech in Computer Science & Engineering (AI & ML)

Master the Future of Technology with
Artificial Intelligence & Machine Learning

Graduates-MRTC

Program Overview

  • Duration: 2 Years (4 Semesters)
  • Eligibility: B.Tech in Computer Science & Engineering, IT, Electronics or Equivalent
  • Approval: UGC & AICTE Recognized

 

Designed to gain hands-on experience with real-world datasets, AI algorithms and deep learning models while exploring the latest research trends.

 

Program Highlights

Advanced AI & ML

Topics including neural networks, deep learning, NLP, AI ethics and reinforcement learning.

Hands-on Training

tools like Tensor Flow, Keras, PyTorch, Python and R for building real-world AI systems.

Capstone Projects & Internships

Apply your learning to practical challenges in collaboration with industry leaders.

Research Opportunities

Work on AI & ML research, contributing to academic journals and industry projects.

Workshops, Hackathons & Guest Lectures

from AI & ML experts, equipping students with the latest trends and tools.

Why Choose ?
M.Tech (CSE – AI & ML)

  • Advanced Curriculum – In-depth courses on deep learning, neural networks, natural language processing (NLP), reinforcement learning and computer vision.
  • Hands-On Research – Work on real-world projects and cutting-edge research in AI & ML, including building AI models and algorithms.
  • State-of-the-Art Labs – Access to high-performance computing labs with GPUs, TensorFlow, PyTorch and other AI/ML toolkits for advanced research.
  • Expert Faculty – Learn from renowned AI researchers, Ph.D. scholars and industry professionals who bring the latest trends and technologies into the classroom.
  • Global Career Opportunities – High demand for AI & ML experts in sectors like healthcare, finance, robotics, automotive and autonomous systems.

Career Opportunities

AI Engineer

Machine Learning Researcher

Data Scientist

Deep Learning Specialist

NLP Engineer

Robotics Engineer

Computer Vision Engineer

Research Scientist
(AI & ML)

AI Consultant

Placement Opportunities

Image Marquee

M.Tech in Computer Science & Engineering (AI & ML)

Master the Future of Technology with Artificial Intelligence & Machine Learning

Why Choose M.Tech (CSE – AI & ML) ?

  • Advanced Curriculum – In-depth courses on deep learning, neural networks, natural language processing (NLP), reinforcement learning and computer vision.
  • Hands-On Research – Work on real-world projects and cutting-edge research in AI & ML, including building AI models and algorithms.
  • State-of-the-Art Labs – Access to high-performance computing labs with GPUs, TensorFlow, PyTorch and other AI/ML toolkits for advanced research.
  • Expert Faculty – Learn from renowned AI researchers, Ph.D. scholars and industry professionals who bring the latest trends and technologies into the classroom.
  • Global Career Opportunities – High demand for AI & ML experts in sectors like healthcare, finance, robotics, automotive and autonomous systems.

Program Highlights

  • Advanced AI & ML Topics including neural networks, deep learning, NLP, AI ethics and reinforcement learning.
  • Hands-on Training in tools like TensorFlow, Keras, PyTorch, Python and R for building real-world AI systems.
  • Capstone Projects and Internships – Apply your learning to practical challenges in collaboration with industry leaders.
  • Research Opportunities – Work on AI & ML research, contributing to academic journals and industry projects.
  • Workshops, Hackathons and Guest Lectures from AI & ML experts, equipping students with the latest trends and tools.

Career Opportunities

AI Engineer

Machine Learning Researcher

Data Scientist

Deep Learning Specialist

NLP Engineer

Robotics Engineer

Computer Vision Engineer

Research Scientist (AI & ML)

AI Consultant

Program Overview

Program Overview

  • Duration: 2 Years (4 Semesters)
  • Eligibility: B.Tech in Computer Science & Engineering, IT, Electronics or Equivalent
  • Approval: UGC & AICTE Recognized

Designed to gain hands-on experience with real-world datasets, AI algorithms and deep learning models while exploring the latest research trends.

Placement Opportunities@
Google | Amazon | Microsoft | NVIDIA | Accenture | IBM | Intel | TCS | Infosys | Facebook