Illustrative Project Theme
Predictive model for operational data
School of Engineering & Technology
B.Tech
Artificial Intelligence
& Machine Learning
Learn to build intelligent systems that can understand, predict and create.
- 4 Years
- Undergraduate
- Full Time
- Greater Noida
Programme Overview
AI is changing every industry.
Learn how to build what comes next.
This programme develops the core of modern intelligent computing: programming, mathematics, algorithms, data and machine learning — the foundations behind every AI system in production today.
Students learn to frame problems, work with data, train and evaluate models, and build software that puts those models to use — while understanding the ethical responsibility that comes with automated decisions.
Why Metro
Why study AI & ML at Metro
01
Build, don't just study
Hands-on programming and project-based learning from the earliest semesters.
02
Learn emerging technologies
Exposure to AI, machine learning, data, automation and intelligent systems.
03
Industry perspective
Understand how AI is applied inside real organisations and industries.
04
Create a portfolio
Projects designed to demonstrate practical capability, not just marks.
05
Think responsibly
Understand ethics, privacy and the responsible use of AI systems.
Built around practice, not promises.
Learning Domains
What you will learn
Programming Foundations
Write clean, correct code and think computationally.
Detailed module content follows the University-approved curriculum
Curriculum
Four years, structured around capability.
The curriculum explorer below is ready to receive the university-approved subject list for each semester.
Semester 1
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Semester 2
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Semester 1
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Semester 2
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Semester 1
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Semester 2
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Semester 1
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Build Through Projects
Don't just learn AI.
Build with it.
- Smart Systems
- Predictive Models
- Computer Vision
- Natural Language Applications
- Automation
- Data Products
- Major Capstone
Illustrative Project Theme
Vision-based inspection system
Illustrative Project Theme
Language-driven assistant
Learning Environment
Technology needs
space to experiment.
Computer Labs
Collaborative Project Spaces
Innovation Environment
Digital Learning
Faculty Mentoring
Industry Exposure
Careers
Where can AI take you?
AI Engineer
Machine Learning Engineer
Data Scientist
Data Analyst
Software Engineer
Computer Vision Engineer
NLP Engineer
AI Product Specialist
Automation Engineer
Research / Higher Studies
Industries
- Healthcare
- FinTech
- E-commerce
- Manufacturing
- Automotive
- Media
- Cybersecurity
- Consulting
- Technology
Salary and placement figures are published only from Verified University Data
Progression
Your four-year journey
- Year 1
Build Foundations
- Programming
- Mathematics
- Computing
- Year 2
Master Core Technologies
- Algorithms
- Data
- Software Systems
- Year 3
Enter Intelligent Computing
- AI
- Machine Learning
- Specialised Technologies
- Year 4
Build Your Expertise
- Advanced electives
- Industry exposure
- Capstone / project
Admission
Admission & eligibility
- Programme
- B.Tech Artificial Intelligence & Machine Learning
- Duration
- 4 Years
- Mode
- Full-time
- Eligibility
- 10+2 with minimum 60%, including Physics, Chemistry and Mathematics.
- Admission
- Admission may be subject to applicable university admission / entrance criteria.
Fees
Programme fees
- First Year Fee
- Approved University Fee Data Required
- Programme Duration
- 4 Years
- Total Programme Fee
- Approved University Fee Data Required
Fees and applicable charges are subject to University policy and updates.
Scholarships
Talent deserves opportunity.
Explore scholarships and financial support available to eligible students.
Explore ScholarshipsFAQs
Questions, answered.
Candidates who have completed 10+2 with a minimum of 60%, including Physics, Chemistry and Mathematics. Admission may be subject to applicable university admission or entrance criteria.
The programme is four years, full-time, at the Greater Noida campus.
Programming, data structures and algorithms, artificial intelligence, machine learning, deep learning, data science, computer vision, natural language processing, cloud computing and AI ethics. Detailed subject lists follow the university-approved curriculum.
No prior programming experience is assumed. The first year builds programming and mathematical foundations from the beginning.
Roles across AI and machine learning engineering, data science and analytics, software engineering, computer vision, NLP and automation, as well as pathways into research and higher studies.
Applications are submitted to Metro University and assessed against the published eligibility criteria and any applicable university admission process.
Scholarship and financial support options for eligible students are published by the university. Specific criteria and values follow official university policy.
Fee details are published by the university and are subject to University policy and updates.
Admissions 2026–27
Ready to build
what's next?
B.Tech Artificial Intelligence & Machine Learning · Metro University, Greater Noida.
Application and enquiry forms connect to the university admissions backend in a later phase.