Data Science Council of America
  • Certifications

    Certifications

    Explore DASCA’s comprehensive certification paths tailored for professionals in:

    Explore

    • > Check Your Eligibility

      Choose your qualification and experience level to find the DASCA certification that aligns with your career goals.

    • > Certification Process

      Learn about the steps to earn your DASCA certification, from application to becoming a certified professional.

    • > DASCA Examination and Policies

      DASCA certification exams are available online worldwide, accessible in 180+ countries.

    • > Frequently Asked Questions 

      Find answers to common questions about DASCA certifications, exam process and policies.

    • > Digitally Badged Credentials

      Showcase your DASCA certification with digital badges recognized worldwide.

  • Accreditation
    DASCA Accredited
    • Accreditation Home

      Discover how DASCA Accreditation enhances data science and AI education, ensuring global recognition and academic excellence.

    • About DASCA Accreditation

      Understand how DASCA Accreditation sets the benchmark for excellence in data science and AI education, aligning institutions with global industry standards.

    • Accreditation Standards

      Examine the framework that upholds high benchmarks for curriculum, faculty expertise, and industry relevance in data science and AI programs.

    • Eligibility Criteria for Institutions

      Understand the institutional and program-level requirements to assess your readiness for pursuing DASCA Accreditation.

    • Accreditation Journey

      Explore the step-by-step process to achieve DASCA Accreditation through a rigorous, globally benchmarked, and digitally powered evaluation.

    • Accreditation Impact

      Discover how DASCA Accreditation enhances institutional reputation, academic quality, and global competitiveness in data science and AI education.

    • Resources for Institutions

      Access comprehensive guides, support tools, and subsidy programs designed to assist institutions throughout their accreditation journey.

    • DASCA Accreditation Advisors

      Learn about the global network of academic and industry experts who support institutions in delivering high-quality data science and AI education.

    • Frequently Asked Questions

      Get answers to common questions about institutional eligibility, the accreditation process, ongoing compliance and more.

    • Apply Today

      Begin your DASCA accreditation journey and position your institution among global leaders in data science and AI education.

  • Partnership

    Partner with DASCA: Drive Data Science Excellence

    Join the rapidly growing DASCA network of leading tech schools, higher education institutions, IT training companies, and government organizations. Partner with DASCA to prepare your students and professionals for globally recognized data science certifications. Start your partnership journey today.

    Know more
    • Universities & Institutions

      For Universities & Institutions

      Get your academic programs DASCA accredited and join an elite group of institutions shaping the future of data science. Leverage the World Data Science & AI Initiative's subsidy program to strengthen your academic offerings.

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    • Tech Companies & Other Organizations

      For Tech Companies & Other Organizations

      Get your teams DASCA-certified and ensure they meet global standards in data science. Partner with us to drive sustainable skills development and long-term growth for your organization.

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    • Training Companies

      For Training Companies

      Offer training programs that prepare candidates for DASCA certification exams. Position your academy as a trusted provider of exam-focused education for aspiring data science professionals.

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    • Advocacy Partnership

      For Advocacy Partnership

      Collaborate with DASCA to promote standards-based data science education. Align your curriculum with DASCA’s globally recognized framework and contribute to advancing the field’s future.

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  • Framework
    DASCA EKF

    The DASCA Standard of Excellence in Credentialing

    The DASCA Body of Knowledge and the Essential Knowledge Framework (EKF™) define the foundational structure of all DASCA certifications. Together, they ensure that DASCA credentials reflect the highest standards of professional competency and knowledge depth across analytics, engineering, and AI.

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    • DASCA Body of Knowledge: Foundation for Certification

      The DASCA Body of Knowledge outlines the structured learning paths and core topic areas covered across all certification tracks. It reflects DASCA’s commitment to ensuring every certification is aligned with validated professional requirements and tested through role-relevant knowledge.

    • Essential Knowledge Framework (EKF™): Mapping Competence and Career Progression

      The Essential Knowledge Framework (EKF™) defines what data professionals need to know and how deeply across five critical domains. It maps these knowledge areas to three professional roles (Data Analyst, Data Engineer, Data Scientist) and aligns each with Functional, Professional, or Expert-level proficiency. The EKF™ serves as the global benchmark for designing DASCA certifications and guiding individuals, institutions, and employers in preparing for success in the data economy.

  • Initiatives
  • About

    About

    DASCA sets industry-leading standards, frameworks, certifications, and accreditation programs to develop skilled Data analysts, engineers, and data scientists.

    • The Credentialing Framework

      Uncover DASCA’s dynamic Credentialing Framework, which reinforces industry leadership through its Essential Knowledge Framework (EKF™) and Data Science body of knowledge.

    • DASCA Governance

      Learn about DASCA’s governance structure, ensuring neutrality, independence, and adherence to the highest credentialing standards.

    • The Code of Ethics

      Commit to integrity in data science. Discover the principles that guide DASCA-certified professionals in ethical, responsible, and transparent practices. 

    • The Data Science Era

      Explore how Data is transforming industries globally, driving innovation, and creating new opportunities across sectors.

    • Data Science Professions

      Discover the emerging career tracks in Data Science and how professionals are adapting to the rapidly evolving data landscape.

    Accreditation and Credentialing

    DASCA’s pioneering credentials for data analysts, data engineers, and data scientists are cross-platform, vendor-neutral, and adaptable across a wide range of industries and operational levels. Our certifications equip professionals with the skills they need to excel in today’s dynamic data landscape, ensuring they are prepared for diverse roles in data-driven environments.

    Get Started

    Start your data science journey with DASCA. Whether you're an individual pursuing certification, an institution seeking DASCA accreditation, or an organization exploring partnership, the process is simple and entirely online to help you achieve your goals.



    Contact Us

    For any questions about certifications, partnerships, or DASCA accreditation, feel free to get in touch.



    Newsroom

    Stay up to date with DASCA’s latest announcements and developments. Explore press releases, certification updates, expert insights on data science trends, and learn about DASCA’s global initiatives.

  • ☰
How to become Certified Senior Data Scientist/data-science-certifications/certified-sds

Showcase Your Expertise. Drive Data-Driven Innovation. Lead the Future of Data Science.

The Senior Data Scientist (SDS™) certification is a globally recognized, vendor-neutral credential designed for accomplished data science professionals. Whether you aim to lead complex projects, advance your career, or position yourself as a strategic data innovator, SDS™ validates your technical and leadership capabilities to thrive in the fast-paced world of data science.

With SDS™, you demonstrate your ability to:

  • Manage and implement advanced data science solutions.

  • Deliver actionable insights that drive organizational success.

  • Lead cross-functional teams in data-centric initiatives.

Discover how SDS™ can accelerate your career and position you at the forefront of the data science revolution. Download your brochure and begin your journey toward data science leadership!

By clicking on the “Submit” button, you agreeing to the DASCA’s Terms of Use and Privacy Policy.

Why Choose SDS™?

  • Validated Leadership in Data Science

    Validated Leadership in Data Science

    SDS™ certifies your ability to lead and execute data science strategies across industries, from technology to healthcare, finance, and more.

  • Comprehensive Knowledge Framework

    Comprehensive Knowledge Framework

    Aligned with DASCA’s Essential Knowledge Framework (EKF™), SDS™ equips you with cutting-edge skills in data modeling, machine learning, and predictive analytics.

  • Globally Recognized Credential

    Globally Recognized Credential

    Showcase your expertise with a certification respected by employers in 180+ countries.

  • Cross-platform, Vendor-Neutral Expertise

    Cross-platform, Vendor-Neutral Expertise

    SDS™ ensures you’re prepared to work with any data science tools or environments, making you adaptable in a rapidly changing industry.

Who Is It For?

The SDS™ certification is designed for experienced professionals in data science, analytics, and business intelligence professionals who aim to validate their expertise and advance to senior leadership roles.

Eligibility Overview:

  • Educational Background: A Bachelor's or Master’s degree in Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Information Systems, or a related disciplines.
  • Professional Experience: A minimum of 4–5 years of relevant experience in data science, business intelligence, advanced analytics, or computing roles.

Recommended Skills:

  • Demonstrate strong proficiency in Python (preferred), R, or similar languages.
  • Have hands-on experience working with data across tools and platforms (SQL, Spark, Python, etc.).
  • Comfortable working in cloud environments, data management, and production model deployment.

Elevate Your Career with SDS™

Certified Senior Data Scientists earn recognition as thought leaders and changemakers in data science. Whether you aspire to be a Data Science Manager, Lead Data Scientist, or Chief Data Officer, SDS™ equips you with the skills and credibility to succeed.

Why Choose SDS™

Ready to Take the Next Step?

Download the SDS™ Program Brochure Today

Frequently Asked Questions

Who should pursue the SDS™ (Senior Data Scientist) certification?

The SDS™ certification is designed for senior-level data science professionals who want to validate their expertise in advanced analytics, machine learning, AI, big data, and data-driven business strategy. It is ideal for those working as Senior Data Scientists, Lead Data Analysts, AI/ML Engineers, Analytics Managers, or Data Science Team Leads who are responsible for designing and implementing complex, enterprise-scale data solutions.

The program benefits professionals with hands-on experience in programming, data modeling, AI/ML techniques, and cloud or big data platforms, ensuring the credential demonstrates both technical mastery and strategic impact in real-world data-driven environments.

How can SDS™-certified professionals upgrade to the PDS™?

SDS™-certified holders who meet the PDS™ candidacy requirements can upgrade to the PDS™ (Principal Data Scientist) credential without taking a new exam. After maintaining an active SDS™ credential for at least 12 months, candidates can initiate the upgrade through their myDASCA dashboard, pay the applicable upgrade fee, and submit declarations highlighting their career achievements, professional growth, and impact in data science.

Unlike renewal, the upgrade relies on documented experience and contributions, not an additional exam. Once approved, the SDS™ credential is replaced by the PDS™ credential, which is valid for five years from the upgrade date.

How many questions are included in the SDS™ certification exam?

The SDS™ (Senior Data Scientist) certification exam consists of 85 multiple-choice questions in a single-answer format.

What are the key benefits of earning the SDS™ certification?

Earning the SDS™ (Senior Data Scientist) certification offers multiple benefits for professionals aiming to advance in data science and analytics:

  • Global Recognition: Validates your expertise as a senior data science professional, recognized by employers worldwide.
  • Advanced Skill Validation: Demonstrates mastery in machine learning, AI, big data, cloud platforms, and enterprise-level analytics workflows.
  • Career Advancement: Strengthens your candidacy for senior roles such as Senior Data Scientist, Lead Data Scientist, AI/ML Engineer, or Analytics Manager.
  • Practical Readiness: Confirms ability to tackle real-world, enterprise-scale projects, ensuring you can contribute to strategic, data-driven business decisions.
  • Professional Credibility: Enhances your professional profile with a vendor-neutral, industry-respected credential, enhancing employability and professional trust.
How advanced is the SDS™ exam coverage compared to analyst and engineer certifications?

The SDS™ exam coverage is significantly more advanced than typical analyst (ABDA™, SBDA™) or data engineering (ABDE™, SBDE™) certifications. While analyst and engineer programs emphasize foundational or role-specific skills such as data pipelines, statistical analysis, business intelligence, or cloud-based data management, SDS™ is designed for senior-level professionals who lead complex data science projects.

Key distinctions include:

  • End-to-End Data Science: Addresses the complete data lifecycle, from raw data processing to actionable insights, predictive modeling, and MLOps.
  • Advanced Machine Learning & AI: Includes supervised and unsupervised learning, generative AI, large language models, and explainable AI.
  • Strategic & Enterprise Impact: Focuses on delivering business value, driving leadership initiatives, and implementing enterprise-scale solutions.
  • Cross-Disciplinary Expertise: Integrates analytics, engineering, and competencies into a unified senior-level framework.

In summary, SDS™ builds strategic, leadership-ready data science expertise, whereas analyst and engineer certifications are more role-specific or intermediate in focus.

Does the SDS™ certification require renewal?

Yes. The SDS™ (Senior Data Scientist) certification must be renewed every five years to keep your credential active and recognized. To renew, you log into your myDASCA dashboard, pay the applicable renewal fee, and submit a declaration of your continuing professional development and learning activities. No additional exam or training is required, though you may be asked to provide documentation supporting your professional development declaration. Once your renewal is approved, your credential remains valid for another five years.

For more details, please visit the SDS™ certification renewal page.