Best AI and ML Engineering Colleges in Dehradun

Best AI and ML Engineering Colleges in Dehradun: Admission Guide 2026

Artificial Intelligence (AI) and Machine Learning (ML) are becoming important parts of software development, healthcare, banking, robotics, cybersecurity and many other industries. For students planning to pursue engineering after Class 12, these fields offer an opportunity to learn how intelligent computer systems are designed, trained and applied to real-world problems.

Dehradun, Uttarakhand, has several universities and engineering institutions offering B.Tech programmes in Artificial Intelligence and Machine Learning, or Computer Science and Engineering (CSE) with an AI and ML specialisation. However, choosing a college requires more than looking at its name or placement advertisements. Students should compare course content, admission criteria, tuition fees, laboratory facilities, internships and career support before making a decision.

This guide covers some colleges to consider, their programmes and the admission process for the 2026 academic session. Jigyasa University

What Is B.Tech in Artificial Intelligence and Machine Learning?

B.Tech in AI and ML is generally a four-year undergraduate engineering programme divided into eight semesters. Depending on the institution, students may enrol in a dedicated AI and ML degree or study CSE with an AI and ML specialisation.

The curriculum usually combines core computer science subjects with specialised topics such as:

• Programming in Python and other languages

• Data structures and algorithms

• Mathematics, probability and statistics

• Database management systems

• Artificial intelligence fundamentals

• Machine learning algorithms

• Deep learning and neural networks

• Natural language processing and computer vision

• Data science and cloud computing

Students should look beyond the programme title and examine the actual curriculum. Strong foundations in programming, mathematics and problem-solving are important because AI tools and technologies change quickly.

Best AI and ML Engineering Colleges in Dehradun

The following institutions are worth considering because their official websites list AI, ML, robotics or related engineering programmes. This is a selection guide, not a definitive ranking; programme availability, fees and admission requirements should be confirmed directly with each institution.

1. University of Petroleum and Energy Studies (UPES)

UPES offers B.Tech specialisations that include Artificial Intelligence and Machine Learning. Its engineering programmes provide options for students interested in computer science and emerging technologies.

Before applying, review the exact AI and ML specialisation, eligibility requirements, entrance examination options, tuition fees and scholarship conditions for the 2026 intake.

2. Graphic Era (Deemed to be University)

Graphic Era offers B.Tech programmes in Computer Science and Engineering with specialisations that include Artificial Intelligence and Machine Learning, as well as Artificial Intelligence and Data Science.

The university's published course information describes a four-year undergraduate programme covering core computing subjects and specialised technical topics. Students should compare the curriculum, fee structure and admission requirements for the particular specialisation they want.

3. Graphic Era Hill University (GEHU)

Graphic Era Hill University lists B.Tech CSE with a specialisation in Machine Learning and Artificial Intelligence, along with a separate B.Tech programme in Artificial Intelligence and Data Science.

Its published programme details include programming, data structures, algorithms, mathematics and advanced AI-related subjects. Admission is based on the university's stated eligibility and merit process, so applicants should check the current rules before submitting their applications.

4. DIT University

DIT University offers B.Tech CSE with a specialisation in Artificial Intelligence, Machine Learning and Robotics. It also lists a B.Tech programme in Robotics and Artificial Intelligence.

These options may suit students who want to explore intelligent software systems alongside robotics and automation. Check whether the selected programme has a separate degree title or is a specialisation within CSE, as the distinction can affect the curriculum and course structure.

5. ICFAI University, Dehradun

ICFAI University, Dehradun, lists a B.Tech programme in Artificial Intelligence and Machine Learning. Its published programme information includes specialised areas such as AI in healthcare, computer vision, the Internet of Things and cybersecurity.

Students interested in applying should review the latest prospectus for eligibility, selection criteria, fees, academic calendar and the programme's current structure.

6. Shivalik College of Engineering

Shivalik College of Engineering offers a B.Tech programme in AI and ML. Its course information highlights machine learning, deep learning, data science and practical AI applications.

When evaluating the programme, ask about project work, faculty expertise, access to computing laboratories, internship support and the opportunities students receive to build working software projects.

Eligibility Criteria for AI and ML Engineering Admission

Most B.Tech AI and ML programmes require students to complete Class 12 from a recognised board with Physics and Mathematics, along with an accepted third subject. Chemistry, Computer Science, Biotechnology or another approved subject may be accepted, depending on the institution and applicable rules.

Minimum marks vary by college and admission route. For example, DIT University publishes different requirements for some of its programmes, while Graphic Era Hill University lists its own eligibility criteria for AI and ML courses.

Students should confirm these details before applying:

• Class 12 subject requirements

• Minimum aggregate marks

• Whether a JEE Main score is accepted or required

• Any university-specific entrance test or selection process

• Rules for scholarships, reserved categories and state quotas

Meeting the minimum eligibility criteria does not necessarily guarantee admission, since selection may also depend on merit, available seats and the institution's admission policy.

Admission Process for 2026

Although the process differs between universities, applicants can generally follow these steps.

Step 1: Shortlist suitable colleges. Compare programmes, course structures, fees, location, hostel facilities and placement disclosures.

Step 2: Check eligibility. Read the latest official admission brochure to confirm your subjects, marks and accepted entrance examinations.

Step 3: Complete the application. Register through the university's official admission portal and enter your academic and personal details accurately.

Step 4: Submit documents. Colleges may request Class 10 and 12 marksheets, identification, photographs, entrance examination results and applicable category or scholarship documents.

Step 5: Complete selection or counselling. Depending on the institution, selection may be based on entrance scores, qualifying examination merit, counselling or an interview.

Step 6: Verify the offer and fees. Read the admission letter, confirm the programme name, check the complete fee schedule and understand the refund policy before paying.

Admission dates can change, and some published calendars may already have passed their deadlines. Check directly with the college for current availability and any late or additional admission rounds.

Fees and Scholarships

The total cost of an AI and ML engineering degree can vary considerably. Tuition is only one part of the expense; students may also need to budget for hostel accommodation, food, transport, examination charges, a laptop and other academic materials.

Before comparing colleges, request a written breakdown of:

• Tuition fees for all four years

• Registration and examination charges

• Hostel and mess expenses, if applicable

• Annual fee increases

• Scholarship eligibility and renewal conditions

• Refund rules if admission is cancelled

Some institutions provide merit-based scholarships or concessions based on academic performance, entrance scores or other eligibility conditions. Do not assume that an advertised scholarship will apply to every student or remain unchanged throughout the degree.

Career Opportunities After B.Tech AI and ML

Graduates can pursue several career paths, depending on their skills, projects, internships and further training. Possible roles include:

• AI or Machine Learning Engineer

• Software Developer

• Data Analyst

• Junior Data Scientist

• Computer Vision Developer

• Natural Language Processing Engineer

• AI Testing or Quality Engineer

• Research Assistant

Employers may assess programming ability, mathematics, problem-solving, communication and practical project experience. A degree alone does not guarantee a particular job title or salary.

Students can strengthen their profiles by learning Python, practising data structures and algorithms, completing projects with real datasets, using version control and applying for internships. For AI roles, it is also helpful to understand model evaluation, data privacy, bias and the limitations of machine learning systems.

How to Choose the Right College

The right choice depends on your academic background, budget and learning goals. Compare the official curriculum and total cost rather than relying only on advertisements or online rankings.

Ask each college for branch-specific placement data, including the number of eligible students, the number placed, median or average salary, internship opportunities and the reporting year. A university-wide highest package may not represent the outcomes of AI and ML students specifically.

Also consider class size, faculty availability, laboratories, student projects, campus safety, accommodation and travel costs. If possible, attend an open day or speak with current students before making a final decision.

Frequently Asked Questions (FAQs)

Q1. Which colleges offer AI and ML engineering courses in Dehradun?

Options include UPES, Graphic Era, Graphic Era Hill University, DIT University, ICFAI University Dehradun and Shivalik College of Engineering. Confirm the current programme title and availability with each institution.

Q2. What is the duration of B.Tech in AI and ML?

The programme generally takes four years and consists of eight semesters.

Q3. What are the eligibility criteria for B.Tech AI and ML?

Applicants generally need to pass Class 12 with Physics and Mathematics and meet the institution's minimum marks and subject requirements.

Q4. Is JEE Main compulsory for AI and ML admission in Dehradun?

Not for every institution. Some colleges accept JEE Main scores, while others may use qualifying examination merit, university selection procedures or other permitted routes.

Q5. What subjects are taught in AI and ML engineering?

Common subjects include programming, mathematics, data structures, algorithms, machine learning, deep learning, databases and data science. The exact curriculum varies by college.