NIET, Greater Noida

B.Tech in Computer Science and Engineering (Artificial Intelligence & Machine Learning)

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

The Bachelor of Technology (B.Tech) in Computer Science and Engineering (Artificial Intelligence & Machine Learning) at Noida Institute of Engineering and Technology (NIET), Greater Noida is a specialized undergraduate program designed to develop intelligent, data-driven systems and advanced machine learning solutions. The program combines core computer science fundamentals with cutting-edge AI and ML technologies to prepare students for future-ready careers in the global technology landscape.

Program Overview

• Degree Awarded: Bachelor of Technology (B.Tech)

• Discipline: Computer Science and Engineering (Artificial Intelligence & Machine Learning)

• Duration: 4 Years (8 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 Study CSE (AI & ML) at NIET?

• Industry-aligned autonomous curriculum focused on AI and ML technologies

• Strong foundation in computer science, mathematics, and statistics

• Advanced laboratories for AI, machine learning, and data science

• Experienced faculty with expertise in AI research and industrial applications

• Hands-on learning through projects, internships, and hackathons

• Excellent placement support with strong corporate engagement

Curriculum Highlights

The curriculum is designed to offer in-depth theoretical knowledge and practical skills in AI and ML:

• Programming in Python, Java, and C++

• Data Structures and Algorithms

• Discrete Mathematics and Linear Algebra

• Probability and Statistics for Machine Learning

• Artificial Intelligence Fundamentals

• Machine Learning Algorithms

• Deep Learning

• Natural Language Processing (NLP)

• Computer Vision

• Reinforcement Learning

• Data Science and Big Data Analytics

• Ethics and Responsible AI

The program includes industrial training, minor projects, and a final-year capstone project to ensure real-world exposure.

Laboratories & Practical Training

Students gain extensive hands-on experience through modern laboratories such as:

• Artificial Intelligence & Machine Learning Lab

• Data Science & Analytics Lab

• Deep Learning & Computer Vision Lab

• Natural Language Processing Lab

• Cloud Computing & AI Deployment Lab

Eligibility Criteria

• Passed 10+2 or equivalent with Physics and Mathematics as compulsory subjects

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

• Admission through JEE Main / state-level counseling or institute-level selection as per norms

Admission Process

• Application through online or offline mode

• Selection based on academic merit and entrance examination scores

• Counseling and document verification

• Final admission confirmation upon fee submission

Career Opportunities

Graduates of B.Tech in CSE (AI & ML) can pursue careers such as:

• Artificial Intelligence Engineer

• Machine Learning Engineer

• Data Scientist

• AI Research Engineer

• Computer Vision Engineer

• Natural Language Processing Engineer

• Robotics & Automation Engineer

• AI Solutions Architect

Placements & Industry Exposure

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

• AI-focused technical training and certifications

• Internship opportunities with technology and analytics firms

• Resume building and interview preparation

• Campus recruitment drives with leading organizations

Top Recruiters

Google, Microsoft, Amazon, IBM, Oracle, Intel, Accenture, Deloitte, TCS, Wipro, Capgemini, Infosys, and other reputed technology companies.

Higher Education & Research Pathways

After completing the program, students may pursue:

• M.Tech / MS in Artificial Intelligence, Machine Learning, or Data Science

• MBA in Technology Management or Business Analytics

• Research careers in AI and emerging technologies

• Competitive examinations such as GATE

Scholarships

Eligible students may apply for:

• Merit-based scholarships

• Government and state scholarships

• Need-based financial assistance

Scholarships are subject to institutional and regulatory norms.

Infrastructure & Student Support

• Smart classrooms with advanced computing resources

• Central library with AI and ML research materials

• Hostel facilities for boys and girls

• Sports, cultural clubs, and technical societies

• Academic mentoring and career counseling