Many companies widely use data for various tasks. From the way companies design their products to how governments plan cities, every decision today is backed by data. This is why more and more students and working professionals in India are keen on pursuing data science; it’s no longer just a niche field but a must-have skill for the future.
The demand speaks for itself. According to NASSCOM, India is expected to account for an estimated demand for professionals, with the number expected to be over 1 million by 2026, making it one of the fastest-growing career paths in the country. For aspirants, this means not only high-paying opportunities but also the chance to be at the forefront of innovation in sectors like healthcare, finance, e-commerce, and even government policy-making.
Still, many learners face confusion and fall into a dilemma with questions such as: “Which course is right for me?” “What’s the eligibility?” “How much will it cost?” “And what kind of career scope can I expect afterward?”
This blog will address these exact concerns. We’ll look into the eligibility criteria, fees, and career prospects for data science courses in India, which will help you decide the right path for your career.
What is a Data Science Course?
A data science course is a program that teaches you how to collect, clean, analyze, and interpret data to solve real-world problems. In simple terms, it’s about turning raw numbers into insights that businesses, governments, and organizations can use for making better decisions.
Most data science courses cover:
- Programming & Tools: Python, R, and SQL for working with data
- Machine Learning: Building models that can predict outcomes or recognize patterns
- Data Visualization: Using tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to present insights clearly
- Statistics & Mathematics: The backbone for understanding trends and predictions
Depending on your career goals and time commitment, you can choose from different types of programs in India:
- Certification Courses: Short-term, skill-focused courses ideal for beginners or professionals looking to upskill.
- Diploma Courses: These are mid-level programs that offer practical training along with theoretical concepts.
- Undergraduate Degrees: Such as B.Sc or B. Tech in Data Science provides a strong foundation right after school.
- Postgraduate Programs: M.Sc., M.Tech, or PG Diplomas for advanced learners who want specialized knowledge and better career opportunities.
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Who Should Consider a Data Science Course?
Data Science courses can be found for learners at any level. Whether you’re a fresher, a working professional, or someone switching careers, there’s a suitable pathway for you.
| Learner’s Stage | Eligibility Tip | Best Course Type |
| Freshers | BSc/BTech graduates with a math/statistics background | Full-time undergraduate or postgraduate programs |
| Working Professionals | Minimum 1 year of experience in IT, analytics, finance, or related fields | Online PG programs or bootcamps (flexible learning) |
| Non-IT Career Switchers | Any graduate degree + basic math/logical reasoning | Beginner-friendly certification courses |
See! There’s absolutely no reason to worry about your background; the right data science course can open doors to various opportunities. If you’re a fresher, then you can build a strong academic foundation, or a working professional can upskill for career growth, and non-tech aspirants can smoothly transition into analytics with beginner programs.
The key is to pick a course that completely matches your experience level, learning style, and career goals.
Eligibility Criteria for Data Science Courses
When it comes to data science course eligibility, the requirements can vary depending on the type of program. In general, most institutes expect learners to have a bachelor’s degree and a background in mathematics, statistics, or programming.
However, with the rise of online certifications and bootcamps, even non-technical aspirants can explore who can study data science with basic analytical skills.
- Undergraduate Programs: Class 12 students (Maths preferred) can apply for BSc/BTech in Data Science or related fields.
- Postgraduate Programs: STEM graduates are typically preferred, with some institutes requiring entrance exams for admission.
- Executive Programs: Designed for working professionals with prior experience in IT, analytics, or business.
- Bootcamps/Online Courses: Open to anyone with a basic grasp of logic, math, and problem-solving.
Data Science Course Eligibility by Program Type
| Course Type | Eligibility Criteria |
| UG Degree (BSc/BTech) | Class 12 pass (Mathematics preferred) |
| PG Diploma/Certification | Bachelor’s degree in any stream |
| Executive PG | Bachelor’s degree & 1-2 years of work experience |
This table is presented to make you understand the eligibility requirements for each program.
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Data Science Course Fees in India
When exploring data science course fees, it’s important to note that costs vary widely depending on the provider, program type, delivery mode (online/offline), and course duration. Whether you’re opting for a short-term certification or a full-time postgraduate program, there are options available for every budget and time constraint.
![[DS] Not sure how to be a top data scientist](https://scaler-blog-prod-wp-content.s3.ap-south-1.amazonaws.com/wp-content/uploads/2024/11/19104522/Banner-1-2.jpg)
Price Range Overview:
- Certification Programs: ₹30,000 – ₹1.2L
- PG & Executive PG Programs: ₹1.5L – ₹5L+
- IITs/NITs (UG & PG programs): ₹2L – ₹12L
Many providers also offer EMI options and even scholarships. Going for courses with flexibility can make data science more accessible to students and professionals.
Examples of Popular Courses in India:
| Courses | Program Type | Highlights |
| Scaler | Data Science & ML Program | 1:1 mentorship, career support, live classes, valid certification |
| UpGrad | Executive PG (with IIIT-B) | University-backed degree, job assistance |
| Simplilearn | Certification (with Purdue/IBM) | Global recognition, industry projects |
| IIT Madras | BSc in Data Science | Flexible online & offline mode |
| Great Learning | PG Program in Data Science | Hybrid learning, placement assistance |
Isn’t it great to have so many options available? But again, the problem comes down to which one is best.
For that, it is always better to first evaluate your current skill and industry level and future goals, and then check courses for opportunities that provide the way you would like.
Now, let’s check out what exactly you will learn in a data science course.
What You’ll Learn in a Data Science Course?
When you enroll in a data science course, you basically prepare yourself by acquiring the correct skillset and practicing the required tools. The curriculum is designed to cover both technical and soft skills so that learners can confidently step into roles like Data Analyst, Data Scientist, or ML Engineer.
Along with theoretical knowledge, most courses emphasize hands-on learning through projects, case studies, and a final capstone project that mimics industry challenges.
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Typical Modules in a Data Science Course
- Programming with Python: Writing clean, efficient code for data analysis.
- Statistics & Probability: Understanding data distributions, hypothesis testing, and inference.
- Machine Learning (ML): Building predictive models using regression, classification, and clustering.
- SQL & Databases: Extracting, managing, and querying structured data.
- Data Visualization: Using tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn).
- Big Data & Cloud Platforms: Basics of Hadoop, Spark, AWS, or GCP for large-scale data.
- Business Problem Solving: Analyzing data insights to make actionable decisions.
- Soft Skills & Communication: To communicate the findings effectively to technical and non-technical audiences.
- Interview Preparation & Career Guidance: Resume building, mock interviews, and career coaching.
- Capstone Project: A real-world, end-to-end project showcasing all acquired skills.
In short, a good data science course will certainly ensure that you gain not just the technical expertise but also the confidence to apply your skills in professional scenarios.
Career Scope after a Data Science Course
The career scope after a data science course is extremely promising, especially in India, with opportunities across multiple industries such as BFSI, healthcare, e-commerce, edtech, and even government projects.
Organizations are increasingly relying on data-driven strategies, which has led to a steady rise in demand for professionals skilled in data science, machine learning, and AI.
Job Roles & Salaries in Data Science
| Role | Avg Salary | Experience Needed |
| Data Analyst | ₹6.5 LPA | 0–2 years |
| Data Scientist | ₹10 LPA | 2–5 years |
| ML Engineer | ₹12-18 LPA | 3–6 years |
| BI Analyst | ₹8-10 LPA | 2–4 years |
| AI Specialist | ₹20 LPA+ | 5+ years |
- Entry-Level: ₹5-7 LPA
- Mid-Level: ₹10-18 LPA
- Senior Roles: ₹25 LPA+
According to a recent Naukri.com report (2025), data science-related job postings in India have grown by 21% year-on-year, with companies aggressively hiring for roles in machine learning, AI, and advanced analytics. Similarly, LinkedIn ranks “Data Scientist” as one of the Top 10 most in-demand jobs in India, with strong growth potential over the next decade.
![[DS] think data science is for you](https://scaler-blog-prod-wp-content.s3.ap-south-1.amazonaws.com/wp-content/uploads/2024/11/19104524/Banner-2-2.jpg)
It’s a great push for aspirants like you, as this means that pursuing a data science course not only equips them with technical expertise but also opens doors to high-paying, future-ready careers.
Top Recommended Data Science Courses in India 2025
With so many institutes offering data science programs, the right course for you depends on your career goals, budget, and preferred learning style. Here are some of the most recommended options in 2025:
Scaler Data Science & ML Program
- Course Structure: Structured, mentor-led curriculum with real-world projects, and placement support
- Ideal For: Working professionals aiming to switch careers or upskill/ or beginners wanting to start with data science as a career option.
UpGrad’s PG Program in Data Science
- Course Structure: University-certified, flexible online learning with placement support
- Ideal For: Learners seeking a recognized PG certificate and flexibility
IIT Madras BSc in Data Science
- Course Structure: Premier IIT-backed degree with modular online + offline approach
- Ideal For: Students who want a strong academic foundation from a reputed institution
Simplilearn x Purdue PGP
- Course Structure: Internationally recognized program with Purdue and IBM certifications
- Ideal For: Professionals looking for global recognition and career growth
From IIT’s academic credibility to Scaler’s mentor-driven learning, each course has its own strengths. The best choice depends on whether you prioritize brand reputation, affordability, or hands-on guidance.
Conclusion & Next Steps
A data science course can help find various career opportunities in analytics, machine learning, and AI. If you have a graduate degree and an interest in coding, math, or problem-solving, you’re already eligible to get started.
Costs do vary from budget-friendly online certifications to advanced university-backed programs, but the returns are promising, with entry-level salaries averaging ₹5-7 LPA and rising sharply with experience.
For beginners, programs like Scaler’s Data Science & ML course provide both skill-building and career support. You can also start small with free resources to test your interest before committing.
Frequently Asked Questions
Can I learn data science in 2 years?
Yes, you can become job-ready within two years. Many learners master essential concepts and gain enough project experience to land mid-level roles in that timeframe.
What is the cost of a 6-month data science course?
The cost of a 6-month data science course in India typically ranges between ₹50,000 to ₹2,00,000, depending on the institute, curriculum, and mentorship offered. Shorter, intensive bootcamps are usually on the lower end, while university-linked or globally certified programs are usually priced higher.
For example, Scaler’s Data Science & Machine Learning program offers flexible payment plans and EMI options, making it easier for learners to invest in a structured, mentor-led course without a heavy upfront burden. This balance of affordability and career-focused learning makes it a strong choice for serious professionals.
Is data science expensive?
Not necessarily, it depends on the type of program. Certifications and bootcamps offer budget-friendly options, while university degrees or PG courses can cost up to ₹5 lakhs. Overall, full-time degrees typically range from ₹2 lakhs to ₹8 lakhs.
Can I study data science after 12th?
Yes, students can enroll in data science programs after 12th grade, especially if they have a background in math and science. While many academic programs prefer a math-focused curriculum, beginner-friendly online courses often accept students from any stream.
Can a B.Com student do data science?
Yes. A B.Com graduate can get into data science, especially when combining their business and accounting experience with programming and analytical skills.
Is math compulsory for data science?
While advanced programs may require a strong grounding in math or statistics, many beginner courses, especially online, don’t strictly enforce it. That said, having some math foundation will help you progress faster.
What is the salary after completing a data science course?
Entry-level data scientists typically earn between ₹3.7 to ₹7 lakh per annum, with an average of around ₹9.3 lakh. Salaries can grow significantly with experience.
Do I need to know coding for data science?
Yes, coding remains a core skill for data scientists. Most data roles involve Python, SQL, and libraries like NumPy or Scikit-learn. That said, some tools now allow for no-code analytics, though understanding code gives you an edge.
