Best BTech AI and ML Colleges in Delhi NCR 2026

Artificial Intelligence (AI) and Machine Learning (ML) are becoming important parts of software development, data science, automation, robotics, and other technology fields. As a result, many students are considering B.Tech in Artificial Intelligence and Machine Learning after completing Class 12.

Delhi NCR is a popular destination for engineering students because it offers several private universities and engineering colleges in Noida, Greater Noida, Ghaziabad, and nearby areas. These institutions provide undergraduate programmes in AI, ML, Computer Science Engineering, and related specialisations.

However, choosing the right college requires more than comparing the highest placement package. Students should also consider tuition fees, syllabus, practical training, internships, faculty, admission requirements, and the overall cost of studying.

Top 5 Private BTech AI and ML Colleges in Delhi NCR

The following colleges offer B.Tech programmes in Artificial Intelligence, Machine Learning, or closely related specialisations. Programme names and fees between institutions, so students should compare the exact course before applying

1. Amity University, Noida

Course Details

Amity University Noida offers a B.Tech in Artificial Intelligence through its engineering programmes. The course is suitable for students interested in programming, intelligent systems, machine learning, and AI-based applications.

Students should distinguish between the B.Tech in Artificial Intelligence and other AI-related specialisations when comparing admission requirements and fees.

Fees

The university's published programme information lists the first-year non-sponsored semester fee at approximately ₹2.09 lakh for its B.Tech Artificial Intelligence programme. This gives an initial indication of the cost, although the complete four-year fee depends on the applicable fee schedule and category.

Students should also account for examination charges, accommodation, transport, and other applicable expenses when preparing their budget.

Syllabus and Learning Opportunities

The programme focuses on building a foundation in computing and artificial intelligence. Relevant learning areas include:

• Programming and problem-solving

• Mathematics and computational methods

• Artificial intelligence fundamentals

• Machine learning concepts

• Data analysis and intelligent applications

• Practical projects and laboratory work

The exact subject list depends on the curriculum applicable to the student's admission year.

Placement Opportunities

Amity University Noida reported a highest package of ₹75 LPA and more than 6,000 placements across programmes in 2025–26 on its official placement page. These are university-wide figures, not guarantees of the salary available to AI students.

Students should also compare relevant software and AI roles, internship opportunities, and placement outcomes for their specific programme.

2. Bennett University, Greater Noida

Course Details

Bennett University offers a four-year B.Tech in Artificial Intelligence. Its programme combines mathematical and computational foundations with practical learning through projects, laboratories, hackathons, and AI-related activities.

The programme may suit students looking for an industry-oriented curriculum with opportunities to explore emerging technology areas.

Fees

Bennett University's published 2025 fee structure lists the following figures for B.Tech Artificial Intelligence:

• Gross programme fee over four years: approximately ₹18.55 lakh

• Published AI fee advantage: ₹2.35 lakh

• Net payable amount under that fee structure: approximately ₹16.20 lakh

The reduced amount depends on the university's stated fee advantage and applicable conditions.

Syllabus and Learning Opportunities

The curriculum highlights include:

• Mathematics and programming fundamentals

• Artificial intelligence

• Machine learning and deep learning

• Natural Language Processing (NLP)

• Computer vision

• Data science and intelligent systems

• Projects, research activities, and hackathons

The university also highlights opportunities to explore specialised areas such as robotics, healthcare technology, fintech, and other AI applications.

Placement Opportunities

Bennett University reports placement-related achievements on its official programme page, including a highest package of ₹1.37 crore per year. Its published figures also include ₹21.84 LPA for students in the top 10 percentile and indicate that one in three B.Tech students received offers above ₹10 LPA.

These are institutional placement highlights and should not be interpreted as the expected salary for every AI student. Students should review the relevant graduating batch, placement methodology, and course-specific outcomes.

3. Galgotias University, Greater Noida

Course Details

Galgotias University offers B.Tech programmes in Artificial Intelligence and Machine Learning, including CSE-related specialisations. These programmes are designed for students interested in combining computer science fundamentals with AI-based problem-solving.

Students should select the programme whose degree title and curriculum best match their career goals.

Fees

The university's published fee structure for B.Tech Artificial Intelligence and Machine Learning lists:

• Annual tuition fee: ₹1.64 lakh

• Annual examination fee: ₹20,000

• Annual accidental insurance charge: ₹650

• One-time caution money: ₹2,000

• Student ID card charge: ₹1,000

Based on these listed charges, the tuition and examination fees total approximately ₹7.36 lakh over four years, before applicable one-time charges and any other expenses.

The university lists a minimum of 60% marks in the specified Class 12 subjects for this programme. Entrance examination scores may receive preference in the merit list. Also Visit https://www.collegeforme.in/colleges/galgotias-university-greater-noida

Syllabus and Learning Opportunities

The course focuses on computer science and AI-related subjects, including:

• Programming and data structures

• Mathematics for computing

• Database management and computer networks

• Artificial intelligence

• Machine learning

• Data analysis

• Practical laboratory work and projects

Students should consult the programme's current curriculum for the semester-wise subject list.

Placement Opportunities

Galgotias University provides placement and career-development opportunities for engineering students across technology and related sectors. However, a university-wide highest package does not establish the average salary or placement percentage for AI and ML students.

When comparing placement results, students should look for the number of eligible students, the number placed, median or average salary where available, and the roles offered to AI-related graduates.

4. Sharda University, Greater Noida

Course Details

Sharda University offers B.Tech CSE with an Artificial Intelligence and Machine Learning specialisation. The four-year programme focuses on computer science foundations and the development of intelligent software applications.

The curriculum is relevant to students interested in machine learning, data analysis, software development, and AI-based systems.

Fees

Sharda University's published fee structure for B.Tech Computer Science and Engineering (CSE) with Artificial Intelligence and Machine Learning lists:

• Annual tuition fee (1st year): ₹2.80 lakh

• Annual tuition fee (2nd year): ₹2.884 lakh

• Annual tuition fee (3rd year): ₹2.97052 lakh

• Annual tuition fee (4th year): ₹3.05964 lakh

Based on these listed annual fees, the total tuition fee is approximately ₹11.71 lakh over four years, excluding additional charges such as admission, examination and registration fees.

Syllabus and Learning Opportunities

Students study computer science concepts alongside AI and ML topics, which may include:

• Programming and algorithms

• Mathematics and computational methods

• Artificial intelligence

• Machine learning

• Neural networks and deep learning

• Data mining and data visualisation

• Software development projects

The exact subjects should be confirmed through the curriculum for the relevant academic year.

Placement Opportunities

Sharda University's official placement information reports more than 600 companies, more than 150 multinational companies, and a highest package of ₹1.6 crore per annum. It also reports B.Tech placement offers of 91%.

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

Course Details

Noida Institute of Engineering and Technology offers a four-year B.Tech in Computer Science and Engineering with Artificial Intelligence and Machine Learning.

The institute's programme information describes a curriculum that develops a foundation in AI concepts, machine learning, knowledge representation, probabilistic models, and related computing technologies.

This programme may be worth considering for students who want to study AI and ML within a computer science engineering degree.

Fees

NIET Greater Noida offers placement opportunities for students pursuing B.Tech in Artificial Intelligence and Machine Learning. According to the institute's reported placement highlights for the 2025-26 session, the highest package reached ₹44 LPA, while the average package was around ₹6 LPA. The institute reported more than 3,100 job offers and participation from over 800 organisations. Some of its prominent recruiters include Microsoft, Accenture, TCS, Cognizant, HCL, Wipro, Capgemini and JP Morgan. Placement packages and opportunities may vary depending on students' skills, academic performance and recruitment eligibility. These figures represent institute-wide placement highlights and are not specific to the AI and ML branch.

Syllabus and Learning Opportunities

The programme focuses on computer science fundamentals and AI-related technologies. Relevant subject areas include:

• Programming and problem-solving

• Data structures and algorithms

• Database management systems

• Computer networks and operating systems

• Artificial intelligence

• Machine learning

• Probabilistic models and knowledge representation

• Projects and practical laboratory work

The exact semester-wise subjects depend on the applicable curriculum.

Placement Opportunities

NIET provides placement and career-development activities for engineering students. When evaluating the institute, students should review its latest placement report and check whether the published statistics apply to the entire institute or specifically to the AI and ML programme.

Important details include the number of students placed, average or median salary where reported, the highest package, recruiting companies, and the types of roles offered.

What Is the Syllabus of BTech Artificial Intelligence and Machine Learning?

B.Tech AI and ML is generally a four-year undergraduate engineering programme divided into eight semesters. The curriculum combines core computer science subjects with mathematics, statistics, artificial intelligence, and machine learning.

First-Year Subjects

Students generally develop their technical foundations through subjects such as:

• Engineering mathematics

• Programming in C, Python, or another language

• Basic electrical or electronic engineering

• Engineering physics

• Communication skills

• Computer fundamentals and introductory practical work

The exact first-year subjects vary by university.

Second-Year Subjects

Students typically progress to core computer science subjects, including:

• Data structures and algorithms

• Object-oriented programming

• Database management systems

• Operating systems

• Computer organisation

• Probability and statistics

• Discrete mathematics

Third-Year Subjects

Students begin to study more specialised AI and ML concepts, which may include:

• Artificial intelligence

• Machine learning

• Data science

• Deep learning

• Neural networks

• Natural Language Processing

• Computer vision

• Data mining

Fourth-Year Subjects

The final year generally focuses on advanced electives, projects, internships, and practical application. Students may work on AI-based software, predictive models, intelligent systems, or research-oriented projects.

Students should download the current curriculum from their chosen college because subject names, electives, and semester arrangements can differ.

Admission Eligibility for BTech AI and ML Colleges in Delhi NCR

Most B.Tech AI and ML programmes require students to complete Class 12 with the subjects specified by the institution, commonly Physics and Mathematics along with an accepted third subject.

The eligibility criteria vary between colleges. For example, Galgotias University lists a minimum of 60% in the specified Class 12 subjects for its B.Tech AI and ML programme, while Bennett University also specifies its own subject and marks requirements.

Admission routes may include JEE Main scores, university-level entrance tests, Class 12 merit, or other approved selection procedures.

Students should verify the eligibility criteria, application deadlines, and admission process for the exact programme before applying.

Career Opportunities After BTech AI and ML

Graduates can pursue several technology-related career paths, depending on their programming skills, projects, internships, and technical knowledge.

Artificial Intelligence Engineer

AI engineers develop software systems that use artificial intelligence techniques to solve practical problems.

Machine Learning Engineer

Machine learning engineers build, test, and improve models that learn patterns from data.

Data Scientist

Data scientists analyse datasets, build predictive models, and communicate insights to support decisions.

Data Analyst

Data analysts use data, spreadsheets, databases, and visualisation tools to identify trends and prepare reports.

Software Developer

Software developers design, build, test, and maintain applications. Strong programming and computer science fundamentals are valuable for this role.

Research and Higher Studies

Graduates can also pursue M.Tech, specialised postgraduate programmes, research, or further study in AI, machine learning, data science, and related fields.

Career outcomes depend on individual skills, experience, market conditions, and the requirements of employers.

How to Choose the Best BTech AI and ML College in Delhi NCR

Before finalising a college, compare the following factors.

1. Total Course Fees

Calculate tuition, examination charges, hostel fees, transport, and other expenses across the complete four-year programme.

2. Curriculum and Practical Training

Review the syllabus to understand how much emphasis the programme places on programming, mathematics, AI, machine learning, laboratory work, and projects.

3. Placement Data

Compare placement statistics from the same graduating year where possible. Look at the average or median package, placement percentage, number of eligible students, and types of roles offered.

4. Internship Opportunities

Practical experience can help students understand real-world software development and AI applications. Compare internship support, project opportunities, and industry engagement.

5. Admission Requirements

Check the accepted entrance examinations, subject requirements, minimum marks, scholarships, and application deadlines.

The best college is the one that offers a suitable balance of academic quality, practical learning, affordability, and career preparation for the individual student.

ALSO READ

1. https://www.collegeforme.in/colleges

2. https://www.collegeforme.in/admissions

3. https://www.collegeforme.in/blog/galgotias-university-placement-2026-highest- package-average-salary-top-recruiter

Frequently Asked Questions (FAQs)

1. Which are the best private BTech AI and ML colleges in Delhi NCR?

Amity University Noida, Bennett University, Galgotias University, Sharda University, and NIET Greater Noida are five private institutions offering AI- and ML-related engineering programmes worth comparing.

2. What is the duration of BTech AI and ML?

The standard duration is four years, usually divided into eight semesters.

3. Which entrance exams are accepted for BTech AI and ML?

Depending on the institution, admissions may consider JEE Main, university-level entrance tests, Class 12 merit, or other approved criteria. Check the selected programme's admission requirements.

4. Is BTech AI and ML a good option after Class 12?

It can be a suitable choice for students interested in mathematics, programming, data, and intelligent software systems. Students should be prepared to build strong computer science fundamentals and complete practical projects.

Conclusion

Delhi NCR offers several private colleges for students interested in B.Tech Artificial Intelligence and Machine Learning. Amity University Noida, Bennett University, Galgotias University, Sharda University, and NIET Greater Noida provide different programme structures, learning opportunities, fee arrangements, and career-development options.

Before choosing a college, compare the exact degree, complete four-year cost, curriculum, admission requirements, and placement data for the relevant graduating batch. Do not make a decision based only on the highest salary package advertised by an institution.

A well-informed choice can help students build the programming, mathematical, and practical skills needed to explore careers in artificial intelligence, machine learning, data science, and software development.