M.Tech in Artificial Intelligence & Machine Learning (AI and ML)

Particulars

Course Details

Course Name

M.Tech in Artificial Intelligence & Machine Learning (AI and ML)

Course Level

Postgraduate (PG)

Specializations

Natural Language Processing, Deep Learning, Neural Networks, Computer Vision, Reinforcement Learning, AI in Robotics, Big Data Analytics, Predictive Modeling, AI Ethics, Cloud-Based AI Systems.

Eligibility

Candidates must hold a B.Tech/B.E. in Computer Science, Information Technology, Electronics & Communication, or a related field. Minimum aggregate marks of 50-60% (varies by institution).

Course Duration

2 years (full-time)

Admission Process

Admission is typically based on national-level exams like GATE, institutional entrance exams, or direct merit-based selection.

Entrance Exms

GATE, Institution-specific exams (e.g., IIT JAM, VITEEE PG, SRMEEE PG)

Career Options

AI Engineer, Machine Learning Engineer, Data Scientist, Research Scientist, Computer Vision Engineer, NLP Specialist, AI Consultant, Robotics Engineer, AI Architect.

More About M.Tech in Artificial Intelligence & Machine Learning (AI and ML)

Why Choose M.Tech in AI and ML?
  • The AI and ML sector is one of the fastest-growing tech domains globally, with applications across healthcare, finance, retail, and autonomous systems.
  • This program equips graduates with cutting-edge skills to lead innovations in AI, enhance decision-making systems, and contribute to automation-driven industries.
  • Career opportunities are vast, with high demand for skilled professionals in India and abroad, providing both financial and intellectual rewards.

Curriculum:
The M.Tech in AI and ML curriculum integrates core computational concepts with specialized AI and machine learning topics, such as:

  • Advanced Machine Learning Algorithms
  • Artificial Neural Networks and Deep Learning
  • Data Mining and Big Data Analytics
  • Natural Language Processing (NLP) and Speech Recognition
  • Computer Vision and Image Processing
  • Reinforcement Learning
  • AI and Ethics
  • Cloud Computing and Distributed AI Systems

Internship/Practical Training:

  • Hands-on training through internships with AI-driven organizations, tech startups, or R&D labs.
  • Capstone projects focusing on real-world AI applications like autonomous vehicles, predictive analytics, or medical AI systems.

Job Prospects:

  • The growing demand for AI and ML expertise provides abundant job opportunities in tech giants, research labs, and startups.
  • Job roles include AI Engineer, ML Engineer, Data Scientist, and AI Research Scientist in companies like Google, Microsoft, IBM, Amazon, TCS, Infosys, and Accenture.

Salary Range:

  • Entry-level salaries typically range from INR 8 lakh to 15 lakh per annum, depending on the role and employer.
  • Mid-career professionals can earn INR 15 lakh to 25 lakh per annum, with higher compensation in research-oriented roles or international opportunities.

Further Studies:

  • Pursue a Ph.D. in Artificial Intelligence, Machine Learning, AI, ML, or Data Science for research or academic careers.
  • Certifications in specialized areas like AWS Certified Machine Learning, Google AI/ML Professional Certificate, or Microsoft AI Engineer.

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