Students with an interest in technology, artificial intelligence, and data-driven decision making often have this question in mind, how to become data scientist after 12th? Data science is a field that demands a proper educational trajectory, as well as experience.
According to a NASSCOM report, India has the world’s second-largest AI, machine learning, and big data analytics talent pool. The report also estimates that the demand for Data Science and AI professionals in India will exceed 1 million by 2026.
Data science is a blend of analytical thinking, programming, statistics, and business knowledge.
In this article, you will learn what is data science, eligibility criteria to become a Data Scientist after 12th, best data science courses after 12th, skills required to pursue a data science career, data science admission process, and the scope of data science in India.
What Does a Data Scientist Actually Do?
Before understanding how to become a data scientist after 12th, it is important to know what the role involves.
A data scientist analyses vast amounts of data to uncover patterns, trends, and insights that can help address business challenges and make inform decision-making in various industries.
The job entails gathering, cleaning, and analysing data through the use of programming languages, statistics, and machine learning methods.
Data scientists also develop predictive models, compile reports, and deliver presentations of insights that can aid in enhancing the services rendered by the organisation.
In the banking industry, for instance, a data scientist could create models to detect fraudulent transactions or evaluate loan risks.
Read Also: Data Scientist Job Description 2026
Why Data Science is One of the Best Careers to Start After 12th
A data science career after class 12 offers strong long-term growth, high demand, and excellent career opportunities.
Early exposure to building technical skills provides students with ample opportunity to acquire more hands-on experience, certifications, and to prepare themselves for high-demand career roles.
Many students opt for data scientist after 12th as a career because of the following reasons:
- Demand in every sector: Data scientists are in demand in IT, banking, healthcare, retail, manufacturing, and e-commerce.
- Salaries: Entry-level Data Scientists can expect to earn anywhere from ₹6,00,000 to ₹14,00,000 per year, depending on their skills, education, company, and location.
- Useful for multiple industries: Data science skills are transferable across industries, making career transitions easier while retaining valuable expertise.
- High long-term growth: Experts who have been around the machine learning, AI, and big data can apply their experience to move into higher-paying senior positions.
- Global career opportunities: There are opportunities for skilled data scientists to work remotely and internationally with various groups.
Read Also: Thinking of a career in data science? Here’s what you need to know
Data Science Courses After 12th: All Your Options Explained
The selection of the best data science courses after 12th is based on a few key factors such as academic background, career objectives, budget, and preferred learning styles.
The students have the options for pursuing degree programmes, diploma courses or online certifications to acquire data science knowledge and skills that can lead them to pursue careers in data science.
Undergraduate Degree Programmes
For students who are aiming to pursue a long-term career in data science, a bachelor’s degree is the most well-known degree. Here are a few of the most popular options listed in the table below.
| Course | Duration | Eligibility | Suitable For |
| B.Tech in Data Science / Computer Science with AI | 4 years | PCM with minimum marks as required by the institute | Students interested in software engineering, AI, and data science roles |
| B.Sc. in Data Science / Statistics | 3 years | 10+2 with Mathematics (eligibility varies by college) | Students interested in analytics and research-based careers |
| BCA with Data Science Specialisation | 3 years | 10+2 (Mathematics may be required by some institutes) | Students interested in programming, databases, and analytics |
Diploma in Data Science
A diploma is appropriate for students who wish to acquire practical skills in a shorter time. It can set you up for jobs at the basic level, or it can add to a bachelor’s degree for additional career opportunities.
| Course | Duration | Eligibility | Suitable For |
| Diploma in Data Science | 6–18 months | 10+2 from a recognised board (eligibility varies by institute) | Students looking for practical skills and faster entry into the job market |
| PG Diploma in Data Science* | 1–2 years | Bachelor’s degree | Graduates planning to specialise in data science |
*PG Diploma is not available immediately after Class 12 and is included only for future reference.
Online Certification Courses
Students take certification courses online to gain industry-relevant skills, and enhance their resumes. It is preferable to take these along with a recognised degree and not instead of it.
| Certification | Duration | Platform | Key Skills Covered |
| Google Data Analytics Professional Certificate | About 6 months | Coursera | Data analytics, SQL, spreadsheets, Tableau, R |
| IBM Data Science Professional Certificate | About 5–6 months | Coursera | Python, SQL, data visualisation, machine learning |
| Machine Learning Specialisation | About 3 months | Coursera / DeepLearning.AI | Machine learning, supervised and unsupervised learning |
| NPTEL Data Science Courses | 8–12 weeks | NPTEL | Statistics, Python, machine learning, data analysis |
Read Also: Cyber Security Vs Data Science: Choose the Right Fit
Eligibility & Stream Requirements: Who Can Become a Data Scientist After 12th?
Students from different academic streams can pursue a career as a data scientist after 12th, provided they meet the data science eligibility after 12th criteria of their chosen course or institution.
Science students are generally more flexible and can pursue the field by taking up appropriate degree courses, whereas students from Commerce and Arts can also join the profession via appropriate degree courses.
Data science eligibility after 12th by stream
| Stream | Eligible Courses | Common Eligibility | Entrance Exams |
| Science (PCM) | B.Tech in Data Science, B.Tech CSE (AI), B.Sc. Data Science, B.Sc. Statistics | 10+2 with Physics, Chemistry, and Mathematics (minimum marks as per institute) | JEE Main, JEE Advanced, CUET, State CETs |
| Science (PCB) | B.Sc. Data Science, B.Sc. Statistics | 10+2 with Biology (Mathematics may be required by some universities) | CUET, University entrance exams |
| Commerce (with Mathematics) | BCA, B.Sc. Statistics, B.Com Data Analytics | 10+2 with Mathematics | CUET, University entrance exams |
| Arts (with Mathematics) | BCA, Selected B.Sc. programmes | 10+2 with Mathematics | CUET, University entrance exams |
| Commerce/Arts (without Mathematics) | Limited options such as foundation or bridge programmes offered by some institutes | Eligibility varies by institution | University-specific entrance exams |
General eligibility requirements
Most colleges offering data science courses after 12th follow these admission requirements:
- Pass Class 12 (10+2) from a recognised board.
- Secure at least 50%–60% marks in class 12. Top institutes may require higher scores.
- Mathematics is compulsory for many B.Tech, B.Sc., and BCA programmes.
- Qualify for entrance examinations, if required by the institution.
- Basic analytical, logical reasoning, and problem-solving skills are helpful for succeeding in the course.
Popular entrance exams
Students planning how to become a data scientist after 12th should be aware of these entrance exams:
| Entrance Exam | Accepted For |
| JEE Main | NITs, IIITs, and many private engineering colleges |
| JEE Advanced | IIT admission |
| CUET UG | Central universities offering B.Sc. and BCA programmes |
| State CETs | State engineering and science colleges |
| University-specific entrance exams | Private universities offering data science and related programmes |
Read Also: List Entrance Exams After 12th Across Streams 2026
Step-by-Step Roadmap: How to Become a Data Scientist After 12th
Building a successful career as a data scientist after 12th requires the right education, technical skills, practical experience, and continuous learning. The roadmap below outlines the key steps students can follow to prepare for a career in data science.
Step 1: Choose the right undergraduate programme
The initial step to follow while learning how to become a data scientist after 12th is choosing the right course for one’s career.
Students will have options of B.Tech in Data Science, B.B.Sc (Tech) Computer Science, Data Science, Statistics, or BCA (Data Science Specialisation).
Choose a recognised college that offers practical learning, internships, and industry exposure.
Step 2: Develop core technical skills
In addition to the subject content of lessons, students need to acquire the skills that are required for the workplace.
Focus on learning:
- Python programming
- SQL and database management
- Statistics and probability
- Data visualisation tools such as Tableau and Power BI
- Machine learning fundamentals
- Microsoft Excel
Step 3: Build projects and a portfolio
Practical projects demonstrate the ability to solve real-world problems using data. Students should begin creating projects during their undergraduate studies and maintain a portfolio on platforms such as GitHub.
A strong portfolio should include:
- 3–5 data science projects
- Data cleaning and visualisation examples
- Machine learning projects
- Project documentation explaining the approach and results
Step 4: Gain internship experience
Internships give exposure to tools of industry, workflows, and business problems. They also add a boost to a resume and enhance post-graduate employability.
Internships are offered to students in the second year or senior year in the areas of analytics, business intelligence, AI, or data science.
Step 5: Apply for entry-level data science roles
Upon graduation, students can pursue careers as Data Analyst, Junior Data Scientist, Business Analyst, or Machine Learning Associate, among other positions.
Having a well-organised resume with projects, internships, technical skills, certifications, and accomplishments will increase the likelihood of securing interviews and kick-start a thriving data science career in India.
Read Also: How to Switch a Career to Data Science
Essential Skills Every Data Science Aspirant Should Start Building Now
Students aspiring to be data scientists after 12th should make a point to acquire technical and non-technical skills from the very beginning of their academic education.
It is important to cultivate these skills in college as it aids in making a student more employable and better prepared for real-life projects.
Technical skills
These are the primary technical skills required to be a successful data scientist after 12th career:
- Python: Discover data analysis and machine learning libraries like Pandas, NumPy, Matplotlib, and Scikit-learn.
- SQL: Be able to access, manipulate, and analyse data in relational databases.
- Statistics and Probability: Know some concepts in statistics and probability (regression, hypothesis testing, probability distributions).
- Machine Learning: Learn supervised and unsupervised learning, classification, regression, and model evaluation techniques.
- Data Visualisation: Develop dashboards and reports with Power BI, Tableau and Python visualisation libraries.
- Microsoft Excel: Develop spreadsheet and data analysis competencies; Excel continues to be an essential application in many organisations.
Tools and platforms to learn
Students pursuing data science courses after 12th should become familiar with industry-standard tools.
| Tool | Purpose |
| Jupyter Notebook / Google Colab | Writing and testing Python code |
| Git and GitHub | Version control and project portfolio |
| Power BI / Tableau | Data visualisation and dashboard creation |
| Microsoft Excel / Google Sheets | Data organisation and analysis |
| AWS, Microsoft Azure, Google Cloud | Cloud computing fundamentals |
| Apache Spark | Big data processing |
Soft skills employers value
Along with technical knowledge, employers also look for strong workplace skills.
- Communication and presentation
- Analytical and critical thinking
- Problem-solving ability
- Teamwork and collaboration
- Attention to detail
Developing these skills alongside technical expertise can strengthen a student’s profile and expand their data science career scope in India.
Read Also: Data Scientist Skills To Get You Hired in 2026
Data Scientist Salary in India: From Fresher to Senior Level
The best thing about a data scientist after 12th career path is that the earning potential is quite high. Data scientist salary in India is influenced by the experience, skills, location, industry, and organisation.
The following table provides a general overview of the salary trend for data science roles in India.
| Experience Level | Annual Salary Range | Average Monthly In-Hand Salary |
| Fresher (0–1 year) | ₹6–9 LPA | ₹42,000–₹63,000 |
| Junior (1–3 years) | ₹8–14 LPA | ₹56,000–₹98,000 |
| Mid-Level (4–6 years) | ₹12–22 LPA | ₹84,000–₹1,54,000 |
| Senior (7–10 years) | ₹20–35 LPA | ₹1,40,000–₹2,45,000 |
| Lead/Principal (10+ years) | ₹30–60+ LPA | ₹2,10,000–₹4,20,000+ |
Disclaimer: The salary ranges mentioned above are approximate and may vary based on factors such as location, company, individual skills, educational background, and market demand. These figures are indicative of entry-level roles and should not be considered guaranteed compensation.
Read Also: 30 Data Scientist Interview Questions and Answers
Career Paths & Job Roles You Can Pursue with a Data Science Degree
Completing data science courses after 12th can lead to diverse career opportunities in sectors such as technology, finance, healthcare, e-commerce, consulting, and manufacturing.
With experience, they can progress from entry-level roles to specialised and leadership positions.
Career path in data science
| Career Level | Job Role | Key Responsibilities |
| Entry Level | Data Analyst | Gather, filter, process and display data to aid business decisions |
| Entry Level | Junior Data Scientist | Support data preparation, model building and predictive analysis |
| Mid Level | Data Scientist | Construct a model for machine learning, analyse large data sets, and resolve business issues. |
| Mid Level | Data Engineer | Build data pipelines, manage databases, and data infrastructure. |
| Senior Level | Senior Data Scientist | Drive data science initiatives, mentor teams, and create sophisticated analytical solutions |
| Senior Level | Data Science Manager | Manage data science teams and align business goals with data-driven strategies |
| Specialised | Machine Learning Engineer | Design, build, and deploy machine learning models |
| Specialised | AI Specialist | Develop artificial intelligence solutions such as NLP and computer vision applications |
| Specialised | Data Science Consultant | Help organisations implement data-driven strategies and analytics solutions |
Industries hiring data science professionals
Students planning a data scientist after 12th career can find opportunities in multiple sectors, including:
- Information Technology (IT)
- Banking and Financial Services (BFSI)
- Healthcare and Pharmaceuticals
- E-commerce and Retail
- Manufacturing
- Telecommunications
- Consulting
- Government and Public Sector
- Education and EdTech
The expanding data science career scope in India allows professionals to work in different industries without changing their core technical skills. Continuous learning and practical experience can further improve career growth and salary prospects.
Conclusion
Students with an interest in math, programming, and problem-solving are well-suited for a data science career after Class 12.
Knowing how to become a data scientist after 12th, choosing the right courses for data science, and developing the necessary skills for data science can help students pave the way for a successful career.
Before applying, students should check the data science eligibility after 12th, compare the top colleges for data science in India, and choose a course that aligns with their career goals.
By continuously learning, gaining hands-on experience, and acquiring the necessary technical expertise, students can establish a solid foundation and enhance their data scientist salary over time in India.
FAQs
Yes, you can become a data scientist after 12th by pursuing a relevant degree, developing programming and analytical skills, and gaining hands-on experience through projects and internships.
The Science stream with Mathematics (PCM) is a preferred option since it fulfils the eligibility requirements of most engineering and science programmes.
This time may vary according to the course selected. Most students are able to earn their bachelor's degree in 3-4 years, followed by further years of project development, certifications, and internships before securing employment.
Generally, the salary of the data scientist in India starts from ₹6 lakh to ₹9 lakh per annum for freshers. The actual wage range will depend on skills, educational level, location and employer.
Yes. Students of commerce can opt for data science courses after 12th like BCA, B.Sc. Statistics, B.Sc. Computer Science or any other data science related courses offered by reputed institutes, particularly those with a background in mathematics.
No. Most beginner data science courses teach programming from the basics. However, learning Python and SQL can improve your understanding and career prospects.
Careers are successful with both of these degrees. B.Tech deals more with engineering and software development, whereas B.Sc. is more on the lines of statistics, maths and data analysis. Students must make a selection according to their interests, career aspirations and the data science eligibility requirements of the institution
The certifications offered online provide students with technical knowledge and skills, but they are not typically an alternative to a recognised degree. Certifications can be used in conjunction with a bachelor's degree, projects, and internships to improve employment opportunities.
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