What Is the Cost of a Data Science Course in India? [2025 Guide for Students & Professionals]

Are you planning to become a data scientist and wondering how much it costs to study data science in India? Whether you’re a student, a working professional looking to upskill, or a career switcher, understanding the cost structure of data science courses in India is essential. With increasing demand for data analysts, AI specialists, and machine learning engineers, India has seen a sharp rise in the number of training institutes offering both online and offline data science programs.

Many learners are searching terms like “data science course fees in India,” “affordable data science training,” or “PG diploma in data science cost,” which shows how crucial it is to compare pricing before enrolling.


Key Highlights: What Determines the Cost of a Data Science Course?

The total price of a course can vary depending on several factors:

  • Mode of Delivery (Online vs Offline/Hybrid)

  • Type of Certification (Certificate, Diploma, PG Program, Degree)

  • Institution/Trainer Reputation

  • Location (Metro cities vs Tier 2/3 cities)

  • Placement Support & Internship Offers

  • Project-Based Learning Opportunities

  • Live Classes vs Pre-Recorded Sessions


Average Data Science Course Fees in India by Type

Let’s break down the estimated costs based on course formats commonly searched by Indian learners:

🔹 1. Short-Term Certificate Courses (Online)

These are popular among beginners and working professionals.

Typical Cost Range: ₹10,000 to ₹70,000
Course Duration: 1 to 6 months
Included Topics: Python, data analysis, statistics, Excel, machine learning basics


🔹 2. Professional Diploma in Data Science

A step up from certificates, diploma courses are often recognized for job readiness.

Typical Cost Range: ₹80,000 to ₹2,50,000
Course Duration: 6 to 12 months
Curriculum Includes: Python, R, machine learning, data engineering, cloud, SQL, AI, real-time projects


🔹 3. Postgraduate Programs & Master’s Degrees

For those seeking structured, in-depth academic training.

Typical Cost Range: ₹1,50,000 to ₹4,00,000+
Course Duration: 1 to 2 years
Ideal For: Graduates, IT professionals, career switchers

Common Search Phrases:

  • MSc in data science course fees India

  • data science master’s program cost

  • post graduation in data science fees


🔹 4. Bachelor’s Degree with Specialization in Data Science

Targeted at 12th-pass students who want to build a long-term career.

Typical Cost Range: ₹2,00,000 to ₹6,00,000 (full course)
Duration: 3 years (BSc or BTech in Data Science)
Includes: Programming, ML, database systems, projects, internships


 Data Science Course Costs by Indian Cities

Data science training costs also depend on city and infrastructure:

City Average Fee Range
Bengaluru ₹1,50,000 – ₹4,00,000
Hyderabad ₹1,20,000 – ₹3,00,000
Pune ₹1,00,000 – ₹2,50,000
Mumbai ₹1,80,000 – ₹4,50,000
Delhi NCR ₹1,50,000 – ₹4,00,000
Chennai ₹1,00,000 – ₹3,00,000
Kolkata ₹80,000 – ₹2,50,000

Additional Costs You Should Know

While comparing course fees, don’t forget to account for:

  • Exam or Certification Charges (₹1,000 to ₹10,000)

  • Software or Lab Access Fees

  • Placement Preparation Add-ons

  • Printed Materials or Resources

  • Accommodation and Travel (for offline classes)


Tips to Choose a Cost-Effective and Valuable Data Science Course

If you’re budget-conscious but still want high-quality training, follow these tips:

✅ Compare syllabus depth and faculty experience
✅ Check if project-based learning is included
✅ Look for courses offering career mentorship
✅ Prioritize training with real-world case studies
✅ Evaluate placement records and internship tie-ups
✅ Choose platforms with EMI or no-cost financing
✅ Opt for courses with lifetime access to materials


Scholarships, Discounts & Financing Options in India

Several training providers and educational platforms offer:

  • Merit-Based Scholarships

  • Early-Bird Discounts

  • Group Enrollment Offers

  • EMI Facilities with 0% Interest

  • CSR or NGO Sponsored Learning for Underprivileged Students