Data Science Course Fees with Career-Focused Benefits
- Multiple Payment Options: Full payment or easy EMI plans available for eligible learners on selected programs.
- Recognized Credentials Earn industry-recognized certificates that strengthen your resume and LinkedIn profile.
- Career Support Included: Placement assistance, 1:1 resume reviews, and interview coaching.
- Transparent Fee Structure No hidden charges. Clear breakdown of tuition, add-ons, and taxes before enrollment.
- Corporate Sponsorship and Reimbursement Get support letters and documents for employer-sponsored learning.
- ROI Focused Programs Benefit from our top Data Science programs, where learners reported salary hikes of up to 40%
EXPLORE OUR COURSES
Program Fee For Different Data Science Courses
Check out the comprehensive guide on the program fee for various data science courses offered by Great Learning.
Key Factors Affecting Fee for Data Science courses
- University: Global versus National/Private institutions, Global rankings, Tier of the institution, etc.
- Mode & duration: Online or blended formats ranging from weeks to years.
- Level: Postgraduate versus Executive courses, Beginner versus Intermediate versus Advanced courses, etc.
- Credentials: Certificate versus Diploma.
- Institutional Benefits: Alumni status, Networking events, and CEUs providing long-term value.
- Advanced Modules: Trending technologies such as Generative AI, LLMs, and Prompt Engineering often command a premium.
Data Science Courses Fees
Our Data Science courses are priced to reflect their professional value, with flexible payment options available for select programs to support diverse learning needs.
Course Fees
Career in Data Science
As industries ranging from e-commerce to renewable energy leverage big data to gain a competitive edge, the need for skilled practitioners who can interpret complex datasets has surged globally. In 2026, understanding Data Science course fees and duration is the first step for professionals looking to capitalize on this trend. These programs not only offer high earning potential but also provide a resilient career path in an increasingly data-centric economy, making the initial educational investment one of the most strategic moves for long-term professional growth.
Source: Average salary figures are based on data compiled from Glassdoor and other publicly available compensation reports and recruitment platforms. Figures may vary by location, experience, and employer.
Why choose Great Learning to learn a Data Science course?
1. Master Foundational and Advanced Data Science Techniques
- Develop proficiency in core data science principles, including statistical modeling, predictive analytics, and data mining.
2. Solve Business Problems with Real-World Projects
- Apply theoretical knowledge to practical scenarios through multiple hands-on projects and industry-relevant case studies.
3. Career Advancement & Support
- Benefit from a personalized learning journey with a dedicated Program Manager to guide you through administrative and academic queries.
- Network with peers and industry mentors to enhance your professional growth.
4. Earn Globally Recognized Credentials
- Obtain certificates of completion from top-tier universities to validate your expertise and enhance your professional credibility.
- Earn Continuing Education Units (CEUs) upon successful program completion, validating your expertise to employers worldwide.
5. Key Benefits
- Learn from industry experts. Access lectures and masterclasses delivered by renowned professors and researchers.
- Balance professional commitments with a flexible online learning format featuring pre-recorded content and live virtual classes.
Frequently asked questions
A course certificate is awarded upon the successful completion of a specific educational program, validating that you have mastered the curriculum and projects. A certification, on the other hand, is typically a credential earned by passing a standardized industry exam (such as the Microsoft PL-300) administered by a third-party organization, demonstrating professional-level proficiency in a specific tool or domain.
This distinction can also influence Data Science certification course fees, as certification programs may include exam costs, proctoring charges, and industry accreditation fees in addition to training expenses.
When evaluating Data Science course fees and duration, consider your career stage. A 7-month intensive PGP is ideal for rapid career pivoting, while a 2-year Master's offers deeper academic rigour and broader global recognition. Aligning costs with the length of the mentorship and the number of projects (often 7–10+) ensures you get the best value for your professional growth.