NIET, Greater Noida

Master of Technology (M.Tech) in Artificial Intelligence

Noida Institute of Engineering and Technology (NIET), Greater Noida

The Master of Technology (M.Tech) in Artificial Intelligence at Noida Institute of Engineering and Technology (NIET), Greater Noida is a cutting-edge postgraduate program designed to develop advanced expertise in intelligent systems, machine learning, and data-driven technologies. The program equips students with strong theoretical foundations, practical skills, and research capabilities required to design and deploy AI-driven solutions across industries.

Program Overview

• Degree Awarded: Master of Technology (M.Tech)

• Discipline: Artificial Intelligence

• Duration: 2 Years (4 Semesters)

• Mode of Study: Full-Time

• Affiliation: Dr. A.P.J. Abdul Kalam Technical University (AKTU)

• Approval: AICTE

• Accreditation: NAAC ‘A’ Grade (Institutional)

• Location: Greater Noida, Uttar Pradesh

Why Choose M.Tech in Artificial Intelligence at NIET?

• Advanced, industry-aligned curriculum focused on emerging AI technologies

• Strong emphasis on research, innovation, and real-world applications

• State-of-the-art AI, machine learning, and data science laboratories

• Highly qualified faculty with academic and industry expertise

• Hands-on learning through projects, internships, and research work

• Dedicated placement and career development support

Curriculum Highlights

The curriculum is structured to provide in-depth knowledge and hands-on experience in artificial intelligence:

• Advanced Mathematics for Artificial Intelligence

• Machine Learning Algorithms

• Deep Learning and Neural Networks

• Natural Language Processing

• Computer Vision

• Reinforcement Learning

• Data Analytics and Big Data Technologies

• AI for Robotics and Automation

• Cloud-Based AI Systems

• Ethics, Explainable AI, and Responsible AI

• Research Methodology and Technical Writing

The program includes laboratory sessions, seminars, mini-projects, and a major dissertation.

Laboratories & Practical Training

Students gain extensive practical exposure through:

• Artificial Intelligence & Machine Learning Lab

• Deep Learning & Computer Vision Lab

• Natural Language Processing Lab

• Big Data & Analytics Lab

• Cloud AI & Deployment Lab

Eligibility Criteria

• Bachelor’s degree in Engineering or Technology (B.E./B.Tech) in CSE, IT, AI, ECE, or related disciplines

• Minimum 45% aggregate marks (40% for SC/ST candidates)

• Admission as per university and institutional norms

Admission Process

• Application through online or offline mode

• Selection based on academic merit and entrance examination scores (as applicable)

• Counseling, document verification, and seat allotment

• Final admission confirmation upon fee submission

Career Opportunities

Graduates of M.Tech in Artificial Intelligence can pursue roles such as:

• Artificial Intelligence Engineer

• Machine Learning Engineer

• Deep Learning Engineer

• Data Scientist

• AI Research Engineer

• Computer Vision Engineer

• NLP Engineer

• Robotics and Automation Engineer

Placements & Industry Exposure

NIET offers strong placement support through its Career Management Centre, providing:

• Advanced AI-focused technical training and certifications

• Research and industry internships

• Resume building and interview preparation

• On-campus recruitment drives

Top Recruiters

Google, Microsoft, Amazon, IBM, Intel, Oracle, NVIDIA, Accenture, Deloitte, TCS, Infosys, Wipro, Capgemini, and other AI-driven organizations.

Higher Education & Research Opportunities

Graduates may pursue:

• PhD in Artificial Intelligence, Machine Learning, or related fields

• Research roles in R&D labs and technology organizations

• Advanced certifications in AI and data science

Scholarships & Financial Assistance

Eligible students may avail:

• Merit-based scholarships

• Government and institutional scholarships

• Need-based financial assistance

Scholarships are awarded as per institutional and regulatory norms.

Infrastructure & Student Support

• Advanced AI and computing laboratories

• Smart classrooms and digital learning resources

• Central library with AI research journals and databases

• Hostel facilities and campus amenities

• Academic mentoring and career counseling