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JOIN YOUR DESIRED COURSE

Eligibility

Passed with min % in PCM for GEN & % for SC/ST/OBC

Duration

2 Year

Master of Technology in Computer Science & Engineering (Artificial Intelligence & Machine Learning) is a 2-year postgraduate engineering program focused on building intelligent systems that can learn, predict, and make decisions automatically. This course covers advanced topics such as deep learning, neural networks, natural language processing, computer vision, robotics, data mining, and advanced analytics. It prepares students for high-end roles in AI research, data-driven industries, automation, fintech, healthcare AI, and smart technologies.

 

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  • Must have completed B.E./B.Tech in:

    • Computer Science & Engineering

    • Information Technology

    • Artificial Intelligence

    • Data Science

    • Electronics & Communication Engineering (in some universities)

  • Minimum 50%–55% aggregate marks
    (45%–50% for reserved categories as per government rules)

  • Admission through:

    • GATE

    • State-level PG entrance exams

    • University-level entrance tests

  • Some private universities offer direct admission based on graduation marks

2 Years
(4 Semesters)

  • Entrance Exam Application
    Apply for GATE / State PG CET / University Test

  • Merit List & Rank Declaration

  • Counselling & Seat Allotment

  • Document Verification

    • All Semesters Mark Sheets

    • Degree Certificate / Provisional Certificate

    • Entrance Exam Score Card

    • ID Proof

    • Category Certificate (if applicable)

  • Final Fee Payment & Enrollment

 

For Free Guidance Call Now: 7099092900

WhatsApp Support (Instant Assistance): 7099092900

Semester 1

  • Advanced Data Structures

  • Mathematical Foundations for AI

  • Advanced Computer Networks

  • Artificial Intelligence Fundamentals

  • Research Methodology

Semester 2

  • Machine Learning Algorithms

  • Deep Learning

  • Natural Language Processing (NLP)

  • Data Mining & Warehousing

  • Elective I

Semester 3

  • Computer Vision

  • Reinforcement Learning

  • Big Data Analytics

  • AI for Robotics & Automation

  • Elective II

  • Project Phase I

Semester 4

  • Edge AI & IoT Intelligence

  • Ethical AI & Responsible Computing

  • Industrial Internship

  • Major Project & Dissertation

(Subjects may vary slightly by university.)

Graduates are in extreme demand across IT, healthcare, finance, robotics, automation, cybersecurity, and analytics industries.

Top Job Roles

  • AI Engineer

  • Machine Learning Engineer

  • Data Scientist

  • Deep Learning Engineer

  • NLP Engineer

  • Computer Vision Engineer

  • Robotics Software Engineer

  • Big Data Engineer

  • AI Research Scientist

  • Automation Architect

Top Hiring Sectors

  • IT & Software Companies

  • Artificial Intelligence Startups

  • Healthcare AI Companies

  • Banking & Fintech Organizations

  • Robotics & Automation Firms

  • E-commerce & Recommendation Systems

  • Government AI Research Labs

Higher Study Options

  • Ph.D. in AI / Machine Learning / Data Science

  • MS in AI / Robotics / Data Science Abroad

  • International Research Fellowships

 

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WhatsApp Support (Instant Assistance): 7099092900

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