NO GATE REQUIRED

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2 Year Online Degree

Online M.Tech in Data Science & Artificial Intelligence

  • checkLearn directly from renowned faculty with IIT/NIT pedigrees
  • checkMaster Generative AI, LLMs, NLP, and Computer Vision
  • checkFully online M.Tech is designed for working professionals.
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Step 1 – Basic Details

Admission closes:

13th Oct '2025

Duration:

2 Years

Learning Format:

Live Online + Campus Immersion

Key Highlights of the M.Tech

Experience excellence through our comprehensive program designed for the future of technology

Top-Tier Faculty Mentorship

Learn directly from distinguished faculty with IIT/NIT research backgrounds.

Industry-Aligned Curriculum

Designed with input from AI & Data Science experts

Multiple Exit Options

Earn PG Diploma or PG Certificate if you exit early

Hands-On Capstone Projects

Build real-world AI solutions guided by expert faculty.

Specializations

NLP and Speech

NLP and Speech

Computer Vision

Computer Vision

Generative AI

Generative AI

Financial Analytics

Financial Analytics

AI in Healthcare

AI in Healthcare

Professors who have vetted the curriculum

Prof. S R Mahadeva Prasanna

Prof. S R Mahadeva Prasanna

Professor and Director
Data Science and Artificial Intelligence
Ph.D. (IIT Madras)

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Dr. Girish GN

Dr. Girish GN

Assistant Professor
Computer Science & Engineering
Ph.D. (NITK Surathkal)

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Dr. Chinmayananda A

Dr. Chinmayananda A

Assistant Professor
Electronics and Communication Engineering
Ph.D. (IISc Bengaluru)

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Dr. Manjunath K V

Dr. Manjunath K V

Assistant Professor
Data Science and Artificial Intelligence
Ph.D. (NITK Surathkal)

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Curriculum & Specializations

Students can customize their M.Tech journey by choosing from core AI subjects and specialized electives.

Core Courses

  • Applied Mathematics for Data Science and AI
  • Advanced Learning Algorithms
  • Data Science Lab
  • AI Systems Lab
  • Research and Project Work

Industry Focused Specialization

Natural Language Processing (NLP) & Speech AI

Conversational AI, Speech Recognition, and Social Media Analytics.

Computer Vision

Object Detection, 3D Vision, and AI for Autonomous Systems.

Generative AI

Deep Learning, Large Language Models, and AI-driven Creativity.

Healthcare Analytics

Bioinformatics, Biomedical Signal Processing & Health Data Analytics.

Financial Analytics

Computational Finance, Data Modeling & Applied Econometrics.