Best UG Degrees in AI, Data Science & Technology in India 2026

Artificial Intelligence (AI), Data Science, Machine Learning, Cybersecurity and other emerging technologies are rapidly changing the way businesses operate and creating new career opportunities for graduates. For students completing Class 12, choosing the right undergraduate degree in technology can be an important step toward building a successful career.

In 2026, students have several options beyond traditional Computer Science degrees. Universities and colleges across India are offering undergraduate programs focused on Artificial Intelligence, Data Science, Machine Learning, Software Development, Cybersecurity and other emerging technologies.

If you are looking for the best UG degrees in AI, Data Science and Technology in India in 2026, this guide will help you understand the most popular courses, eligibility requirements, career opportunities, fees and future scope.

Why Choose AI, Data Science & Technology Degrees in 2026?

Technology-driven careers continue to evolve rapidly. Companies across sectors such as banking, healthcare, e-commerce, manufacturing, education and finance are increasingly using AI, data analytics and automation.

As a result, students with strong technical and analytical skills can explore careers in areas such as:

• Artificial Intelligence

• Machine Learning

• Data Science

• Software Development

• Data Analytics

• Cybersecurity

• Cloud Computing

• FinTech

• Robotics

• Business Intelligence

An undergraduate technology degree can provide students with programming knowledge, mathematical foundations, problem-solving abilities and practical exposure to modern technologies.

Best UG Degrees in AI, Data Science & Technology

1. B.Tech in Artificial Intelligence

B.Tech in Artificial Intelligence is one of the most popular emerging engineering programs for students interested in AI and machine learning.

The program generally covers subjects such as programming, mathematics, machine learning, deep learning, computer vision, natural language processing and data structures.

Career opportunities include:

• AI Engineer

• Machine Learning Engineer

• AI Developer

• Computer Vision Engineer

• NLP Engineer

• Automation Engineer

Students interested in building intelligent applications and working with machine learning technologies can consider this degree.

2. B.Tech in Artificial Intelligence & Data Science

B.Tech in AI and Data Science combines two rapidly growing technology areas.

Students typically learn programming, statistics, databases, machine learning, data analytics, artificial intelligence and visualization.

This degree can be suitable for students who want to work with both AI systems and large-scale data.

Potential career roles include:

• Data Scientist

• AI Engineer

• Data Analyst

• Machine Learning Engineer

• Business Intelligence Analyst

3. B.Tech in Data Science

Data Science focuses on extracting useful information and insights from large datasets.

Students generally study statistics, programming, databases, data visualization, machine learning and analytics.

Data Science graduates can pursue careers as:

• Data Scientist

• Data Analyst

• Data Engineer

• Business Analyst

• Machine Learning Engineer

Students who enjoy mathematics, statistics, programming and analytical problem-solving may find this degree particularly suitable.

4. B.Sc in Data Science

B.Sc in Data Science is another undergraduate option for students interested in analytics and data-driven technologies.

Compared with engineering programs, B.Sc programs can provide a more science-oriented approach to data science.

Students may learn:

• Statistics

• Python

• Data Analytics

• Machine Learning

• Databases

• Data Visualization

After graduation, students can pursue careers in data analytics or continue with postgraduate programs such as an MSc in Data Science, Artificial Intelligence or related fields.

5. B.Sc in Artificial Intelligence

B.Sc in Artificial Intelligence is designed for students who want to develop an understanding of AI technologies without necessarily following a traditional engineering route.

The curriculum may include programming, mathematics, machine learning, AI algorithms and data analysis.

It can be a good option for students interested in AI research, software development and data-driven applications.

6. B.Tech in Computer Science with AI Specialization

Traditional Computer Science remains one of the strongest undergraduate technology choices in India. Many colleges now offer Computer Science programs with specializations in AI, Machine Learning and Data Science.

This option can provide students with a broader computer science foundation while allowing them to specialize in emerging technologies.

Students may study:

• Data Structures

• Algorithms

• Operating Systems

• Database Management

• Artificial Intelligence

• Machine Learning

• Cloud Computing

• Software Engineering

This can be particularly useful for students who want flexibility between software development and AI-related careers.

7. BCA in AI & Data Science

Students looking for an alternative to engineering can also consider BCA programs specializing in Artificial Intelligence and Data Science.

BCA generally focuses on computer applications, programming and software technologies. With AI and Data Science specializations, students can gain exposure to modern technologies while building a foundation in computing.

Students can later pursue MCA, MSc or specialized postgraduate programs to further develop their technical expertise.

Eligibility for AI and Data Science UG Courses

Eligibility requirements vary by university and program. Many B.Tech programs require students to complete Class 12 with subjects such as Physics, Chemistry and Mathematics (PCM) and may require an entrance examination.

B.Sc and BCA eligibility can vary considerably between institutions.

Before applying, students should check:

• Required Class 12 subjects

• Minimum percentage

• Entrance examination requirements

• Age requirements, if applicable

• University-specific admission criteria

• Application deadlines

Always verify the latest eligibility criteria directly with the college or university before applying.

How Much Do AI and Data Science Degrees Cost?

The fees for AI, Data Science and technology degrees vary depending on the institution, program and location.

Government institutions may have comparatively lower tuition fees, while private universities can have higher fees but may offer additional facilities, specialized labs and industry-focused programs.

Students should compare the total cost of education, including tuition fees, hostel charges, examination fees and other expenses.

CampusRio can help students compare colleges and explore course-specific information before making a decision.

Career Opportunities After an AI or Data Science Degree

Technology graduates can explore a wide range of career opportunities.

Some popular career paths include:

AI Engineer: Develops AI-powered applications and systems.

Data Scientist: Uses data, statistics and machine learning to solve business problems.

Machine Learning Engineer: Builds and deploys machine learning models.

Data Analyst: Analyzes datasets and creates insights for organizations.

Software Engineer: Designs, develops and maintains software applications.

Cybersecurity Professional: Helps protect systems, networks and data from security threats.

Cloud Engineer: Works with cloud infrastructure and technology platforms.

The actual salary depends on skills, experience, location, employer, specialization and academic background.

How to Choose the Right Technology Degree?

Choosing a degree should not be based only on which technology is currently trending.

Students should consider their interests and long-term goals.

If you enjoy mathematics and statistics, Data Science may be a good option.

If you are interested in machine learning and intelligent systems, Artificial Intelligence could be suitable.

If you want broader career flexibility in software development and technology, Computer Science can be a strong choice.

If you want a non-engineering route into technology, BCA or B.Sc programs may be worth considering.

Students should also compare the college's curriculum, faculty, infrastructure, internships, placement opportunities, accreditation and overall cost.

Final Thoughts

The demand for AI, Data Science and technology skills is creating new opportunities for students across India. In 2026, students have more choices than ever when selecting an undergraduate technology degree.

Popular options include B.Tech in Artificial Intelligence, B.Tech in AI & Data Science, B.Tech in Data Science, B.Sc in Data Science, B.Sc in Artificial Intelligence, Computer Science with AI specialization and BCA in AI & Data Science.

However, the best degree is not necessarily the one with the most popular name. Students should choose a program based on their interests, academic strengths, career goals, budget and the quality of the college.

Before making a final decision, compare different colleges, courses, fees, eligibility requirements and career opportunities.

Explore colleges and technology courses on CampusRio to find the right undergraduate program for your career goals.