Data Science Courses After 12th: Eligibility, Fees, Colleges, Scope 2026

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Data science after 12th in 2026 will give students more opportunities than ever to start early and build a future-proof career. Whether you are passionate about tech, want to know how companies make big decisions, or solve problems, data science is the way to the door to high-paying jobs and global opportunities. From eligibility and fees to top colleges and career scope, this guide will help you start your journey into the world of data science after 12th.

Table of Contents:

Why Choose Data Science After 12th?

One should choose Data Science right after the 12th standard because of the following benefits.

  1. Starting a career right after 12th will allow you to build strong foundational skills at a young age in a career that is growing rapidly across the world.
  2. Companies in every industry, including IT, banking, healthcare, e-commerce, education, and more, mainly depend on data, so qualified data scientists are always in demand.
  3. As fields like AI, automation, and digital transformation are increasing, Data Science is becoming more important, which is making this field more secure in the long term.
  4. Data Scientists are among the highest-paid professionals because their work directly helps many businesses to grow, save costs, and make smart decisions.
  5. It does not limit you to one sector, i.e., you can work in finance, marketing, sports, medicine, government, and even entertainment.
  6. By learning data science, you learn coding, statistics, problem-solving, data handling, and machine learning skills that are valuable in many fields in your career.
  7. After 12th, you can choose diploma courses, degree programs, online certifications, or integrated programs depending on your interest and budget.
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Eligibility Criteria for Data Science After 12th

Below are the eligibility criteria for a data science course,

  1. 12th Grade Qualification: You must have completed your 12th (or equivalent) from a recognized board.
  2. Minimum Percentage: Many institutes require at least 50% to 60% aggregate marks in 12th.
  3. Preferred Subjects:
    • For B.Tech or Engineering-level Data Science, 12th with Physics, Chemistry, and Mathematics (PCM) is usually required.
    • For B.Sc. or BCA Data Science, institutes often want Mathematics or Statistics in 12th.
    • However, for some diplomas or certificate programs, students from any stream (Science, Commerce, Arts) may be eligible, provided they meet the other criteria.
  4. Entrance Exams:
    • Many colleges or universities ask for the entrance exam scores for these programs. These mainly could be JEE Main, CUET, or university-specific tests.
    • For certain specialized or high-level UG programs, competition may be tougher and cutoffs higher.

Data Science Courses After 12th

The following courses are available for students after completing 12th grade.

1. Undergraduate Programs

Undergraduate programs are the most popular option for most students who want a strong foundation in Data Science right after 12th. These programs mainly last three to four years and include courses like B.Sc. Data Science, B.Tech Data Science, BCA with Data Science, and B.Sc. Computer Science with Data Analytics. They cover the important subjects, such as programming, statistics, machine learning, big data, and data visualization. These degrees are good for students who want in-depth knowledge and want to build a long-term career in data science.

  • Average Fees: ₹2,00,000 to ₹10,00,000 (varies by college)
Course Duration
B.Sc. Data Science3 years
B.Tech Data Science4 years
BCA Data Science / BCA Data Analytics3 years
B.Sc. Computer Science (Data Analytics)3 years
BS in Data Science & Applications (Online)3 to 6 years

2. Diploma Courses

Diploma courses in data science are shorter and more flexible, mainly ranging from 6 months to 1 year. They mainly focus on the practical skills of the person rather than the concepts. These courses are great for students who want to enter the field quickly or need a cheap option before getting a full degree. Diploma courses mainly teach skills like the basics of Python, SQL, data analysis, and introductory machine learning. They are perfect for skill-building and can also serve as a bridge to more advanced studies later on.

  • Average Fees: ₹20,000 to ₹1,50,000 (depending on institute and course depth)
Course Duration
Diploma in Data Science (IIIT Bangalore)12 months
Diploma in Data Analytics (NIIT)6 months
Data Science Course (Diploma Level)8 to 12 months
Data Science & Machine Learning Program6 to 11 months

3. Free Online Data Science Courses

Many online platforms offer different free courses that students can start right after 12th grade. These courses help the student to learn the fundamentals at their own pace without any financial pressure. They cover topics like Python programming, statistics, Excel for data analysis, and introductory machine learning. Sometimes, these free courses do not include certificates, but they are great for beginners who do not want to spend the money on paid programs or degrees.

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Top Data Science Colleges in India

Here are some of the top data science colleges in India.

1. Best Engineering Colleges

Below are the best colleges for undergraduate programs in India, providing specialization in data science.

College (IIT) NIRF Rank
IIT Delhi3
IIT Bombay4
IIT Kanpur5
IIT Kharagpur7
IIT Roorkee8

2. Best Colleges for PG Courses

Below are the best colleges for the Postgraduate Program in India, providing specialization in data science.

  1. Indian Statistical Institute (ISI), Kolkata
  2. Indian Institute of Technology (IIT) Madras
  3. Indian Institute of Technology (IIT) Bombay
  4. Indian Institute of Technology (IIT) Kanpur
  5. Indian Institute of Science (IISc), Bangalore
  6. International Institute of Information Technology (IIIT) Hyderabad
  7. IIM Bangalore
  8. BITS Pilani

How to Become a Data Scientist in India After 12th

To become a data scientist after completing class 12 is possible if you follow a clear and structured path. First, you should choose the right undergraduate degree, like B.Sc Data Science, B.Tech in CSE with Data Science or AI, BCA Data Science, or even B.Sc in Mathematics or Statistics. It will help you build a solid foundation in programming, mathematics, and analytical thinking.

With the degree, it is also important to start developing your technical skills in languages like Python, R, and SQL. They form the core of data analysis and machine learning.

When you are comfortable with the key concepts of these languages, you can start working on small real-world projects, like predicting stock prices or analyzing customer behavior.

After gaining exposure through the projects, you can start with the internships. Internships with startups, analytics companies, or research organizations help you understand real business problems, work with large datasets, and gain hands-on experience.

After completing the internship, you can opt for a recognized certification like Intellipaat’s data science Course, which can significantly strengthen your profile.

As you continue learning, make sure to show your work with the timeline by making a GitHub profile where uploading your projects, visualizations, and reports helps recruiters to assess your skills quickly.

Career Opportunities After Data Science

Data Science opens a door to a wide range of career opportunities and high-growth roles across different industries, as follows:

Job Profiles

Below are the job roles you can get after completing a data science course.

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • Business Analyst
  • Data Engineer
  • AI Engineer
  • Statistician
  • Big Data Engineer

Industry-Wise Scope

Data science is used across almost every industry. Some of the top industries are:

  • IT and Software
  • Banking & Finance
  • Healthcare
  • E-commerce
  • Retail
  • Telecom
  • Manufacturing
  • Education & EdTech
  • Media and Entertainment

Salary Range

Salaries in data science depend on the role, skills, company type, and experience level. Below is an approximate range:

Experience Level Average Salary (India)
Entry-Level (0 to 2 years)₹4 to ₹8 LPA
Mid-Level (2 to 6 years)₹8 to ₹18 LPA
Senior-Level (6+ years)₹20 to ₹40 LPA

Conclusion

We can choose the data science course after the completion of class 12th. It is one of the smartest career decisions after 12, with clear eligibility requirements, flexible course options, and a wide range of colleges. Students from any background can start building a strong future in this field. You can choose a full-time undergraduate degree, a short-term diploma, or a free online course, each path helps you gain valuable skills in programming, analytics, statistics, and machine learning. The demand for data scientists continues to grow across many industries, such as finance, healthcare, e-commerce, and telecom.

FAQs on Data Science Courses After 12th

Q1. Can a Commerce Student Become a Data Scientist?

Yes, a commerce student can also become a Data Scientist.

Q2. Does data science have scope?

Yes, Data science has a huge scope across IT, finance, healthcare, e-commerce, manufacturing, and more.

Q3. What degree is best for data science?

A B.Sc. in Data Science, B.Tech. in Computer Science (Data Science/AI), or a BCA with a specialization in Data Science are considered the best degrees.

Q4. How many years does it take to become a data scientist after 12th?

It usually takes 3 to 4 years if you complete a bachelor’s degree, and around 1 additional year if you take a certification course for specialization

Q5. Which subject is most important in data science?

Mathematics (especially statistics), programming (Python/R), and logical reasoning are the most important subjects.

Q6. Is data science in demand in 2026?

Yes, data science is highly in demand in 2026, because almost every industry now depends on data for decision-making, so companies are hiring skilled data professionals more than ever.

About the Author

Principal Data Scientist, Accenture

Meet Akash, a Principal Data Scientist with expertise in advanced analytics, machine learning, and AI-driven solutions. With a master’s degree from IIT Kanpur, Aakash combines technical knowledge with industry insights to deliver impactful, scalable models for complex business challenges.

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