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Explore DASCA’s comprehensive certification paths tailored for professionals in:
Validate your expertise in designing, building, and managing Big Data infrastructure.
ABDE™ Brochure SBDE™ Brochure
Master the tools and techniques for advanced data analysis and insight generation.
ABDA™ Brochure SBDA™ Brochure
Become an expert in data science methodologies and applications.
SDS™ Brochure PDS™ BrochureChoose your qualification and experience level to find the DASCA certification that aligns with your career goals.
Learn about the steps to earn your DASCA certification, from application to becoming a certified professional.
DASCA certification exams are available online worldwide, accessible in 180+ countries.
Find answers to common questions about DASCA certifications, exam process and policies.
Showcase your DASCA certification with digital badges recognized worldwide.
Discover how DASCA Accreditation enhances data science and AI education, ensuring global recognition and academic excellence.
Understand how DASCA Accreditation sets the benchmark for excellence in data science and AI education, aligning institutions with global industry standards.
Examine the framework that upholds high benchmarks for curriculum, faculty expertise, and industry relevance in data science and AI programs.
Understand the institutional and program-level requirements to assess your readiness for pursuing DASCA Accreditation.
Explore the step-by-step process to achieve DASCA Accreditation through a rigorous, globally benchmarked, and digitally powered evaluation.
Discover how DASCA Accreditation enhances institutional reputation, academic quality, and global competitiveness in data science and AI education.
Access comprehensive guides, support tools, and subsidy programs designed to assist institutions throughout their accreditation journey.
Learn about the global network of academic and industry experts who support institutions in delivering high-quality data science and AI education.
Get answers to common questions about institutional eligibility, the accreditation process, ongoing compliance and more.
Begin your DASCA accreditation journey and position your institution among global leaders in data science and AI education.
As a seasoned leader transforming businesses through data analytics and intelligence, the PDS™ certification recognizes your strategic influence and ability to drive innovation. Elevate your professional stature with a credential designed for high-level technology executives and thought leaders.
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The PDS™ certification is a testament to your expertise and leadership in data science. It elevates your professional stature by recognizing your ability to drive innovation and deliver impactful results across industries. Whether transforming business infrastructures or shaping data science trends, you lead the way in cutting-edge analytics. As a certified professional, you are distinguished by:
The PDS™ certification is a permanent credential that establishes your status as a data science leader. To maintain your designation and keep it in good standing, you’ll need to update your professional achievements and learning every five years through the myDASCA dashboard. With automatic reminders and simple tools, staying current is effortless.
Go to PDS™ CandidacyFee for Track 1 Applicants: is a one-time fee covering all non-exam assessment components, access to digital preparation resources, the PDS™ credential kit (physical certificate, commemorative lapel pin, and DASCA Code of Ethics booklet), and the PDS™ digital badge. The fee also includes shipping of the credential kit.
Fee for Track 2 & Track 4 Applicants: is a one-time fee covering the PDS™ certification exam and other assessment components, access to digital exam preparation resources, the PDS™ credential kit (physical certificate, commemorative lapel pin, and DASCA Code of Ethics booklet), and the PDS™ digital badge. The fee also includes shipping of the credential kit.
Fee for Track 3 (SDS™ Upgrade) Applicants: is a one-time fee covering all non-exam assessment components, the PDS™ credential kit (physical certificate, commemorative lapel pin, and DASCA Code of Ethics booklet), and the PDS™ digital badge. Since SDS™ candidates already have access to digital exam preparation resources and do not require a certification exam, no additional digital material is provided under this track.
Refund requests made within 24 hours of payment are subject to a USD 80 processing fee. No refunds will be issued for cancellations made after 24 hours of registration.
Candidates may extend their exam window by paying an administrative fee of USD 100 through their myDASCA dashboard. This extension includes continued access to digital preparation resources and an additional exam attempt (where applicable). Read the policies here.
The PDS™ credential is respected worldwide, showcasing your leadership in data science across industries.
From application to assessments, the entire certification process is conducted online through the myDASCA dashboard.
You have up to one year to meet all certification requirements, with a recommended 8–10 hours of weekly engagement.
Display your achievement with a PDS™ digital badge, along with a physical certificate and commemorative lapel pin.
Maintain your credential status with ease through the myDASCA dashboard, ensuring it remains active.
The PDS™ certification elevates your professional profile, positioning you for executive roles requiring data-driven leadership.
PDS™ candidates are visionary leaders with the expertise to design, execute, and manage enterprise-wide data and business intelligence systems. Their careers exhibit a consistent streak of professional contribution and an express potential to push the frontiers of data science and develop business intelligence for organizations. With deep knowledge of business strategy, marketing, and finance, they are equipped to drive organizational transformation. Applications for PDS™ are open year-round across four tracks, offering flexibility for experienced professionals.
Invitations for PDS™ are extended to senior professionals and academic leaders, including faculty and professors, with at least 10 years of outstanding contributions in areas like data architecture, governance, business intelligence, AI, or IoT. These individuals have spearheaded transformative initiatives, driving innovation, operational efficiency, and strategic growth within their organizations or academic institutions, significantly enhancing their ability to leverage data for competitive advantage. Most invitees hold advanced degrees (Ph.D. or Master’s) in related fields. Track 1 applicants are exempt from the PDS™ certification exam.
Track 2 candidates are recognized for driving innovation in data technologies and strategically leveraging data within their organizations. This track is open to senior data science professionals nominated by their employers, with at least 10 years of experience in areas like data analytics, architecture, governance, and business intelligence. Specialized expertise in AI, IoT, or related fields is also required, alongside a Bachelor's degree in disciplines such as information technology, computer science, mathematics, or related areas.
This track is for professionals holding the Senior Data Scientist (SDS™) credential, with a minimum of 8 years of work experience. A Bachelor's degree in Information Technology, Computer Science, Mathematics, Statistics, Engineering, or related disciplines is required. Candidates must have held their SDS™ credential for at least 1 year prior to applying. Track 3 candidates are exempt from the PDS™ certification exam but must complete the submission-based assessments.
This track is open to senior data science professionals with advanced degrees, such as a Ph.D. or Master’s, and significant experience in areas like data analytics, architecture, governance, and business intelligence. Master's degree holders must have at least 10 years of total work experience, while Ph.D. holders require a minimum of 8 years of work experience. Candidates must complete all four levels of PDS™ assessments to earn the credential.
If your current qualifications and experience don’t meet the PDS™ requirements, consider the Senior Data Scientist (SDS™) certification. Achieving the SDS™ credential makes you eligible to apply for PDS™ under Track 3 after one year. SDS™ is ideal for professionals aiming to advance into senior data science roles, validating their expertise in leading data and business intelligence solutions.
Download SDS™ Program BrochureUse the Candidacy Self-Check Tool to find out which DASCA certification best aligns with your education and professional experience.
Need expert guidance? Consult a program advisor today.
The PDS™ certification process rigorously assesses your expertise, leadership, and impact across four key milestones, validating your readiness for senior roles in data science. You can complete the certification in 3 to 6 months or take up to a year, allowing flexibility to fit your schedule and professional commitments.
The assessment includes four components: the first three are non-exam submissions showcasing your career achievements, strategic leadership, and contributions, all reviewed via your myDASCA dashboard. The final component, a remote-proctored exam (required for Tracks 2 and 4), evaluates your technical knowledge and problem-solving skills and can be scheduled at your convenience.
| Milestones | Description | Structure for Track 1 and Track 3 | Structure for Track 2 and Track 4 |
|---|---|---|---|
| Milestone#1: Professional Growth | Candidates are required to submit five concise narratives (300-500 words each) detailing their professional development, including leadership roles, key career milestones, and significant contributions within the data science field. | 40% | 25% |
| Milestone#2: Career Accomplishments | Candidates submit a detailed account of their significant achievements, focusing on technical innovations, data-driven solutions, and projects with measurable business impact. These achievements are presented in five concise narratives (300-500 words each), illustrating their contribution to organizational success. | 40% | 30% |
| Milestone#3: Professional Impact & Influence | Candidates submit five narratives (300-500 words each) demonstrating how they have shaped business strategy, influenced decision-making, or driven organizational growth. This milestone highlights their leadership, strategic contributions, and mentorship roles within their organizations. | 20% | 15% |
| Milestone#4: Final Certification Exam | Candidates complete a remote-proctored exam designed to assess their technical expertise and ability to apply advanced data analytics to real-world business challenges. This exam evaluates their proficiency in critical data science concepts and their capacity to develop solutions that drive strategic decision-making. | Exempted | 30% |
The PDS™ certification exam is a remote-proctored, online assessment that candidates can schedule and take from anywhere via their myDASCA dashboard. Information on the exam coverage is provided below, or you can read more about the examination here.
Candidates registered in the PDS™ certification program receive structured access to digital exam-preparation resources through DataScienceSkool. These resources are designed to strengthen expertise across the domains assessed in the PDS™ exam, including enterprise-scale data science applications, big data and cloud platforms, advanced analytics with generative AI, and MLOps practices, supporting readiness for both the examination and associated assessment components.
Candidates are provided with a 365-day exam window from the date of registration confirmation to study, prepare, and take their certification exam, during which all exam and additional assessment requirements must be completed.
*The images are for representation only.
Real-world applications highlight data science’s direct business impact, inspiring early-career practitioners with practical examples and guiding experienced data scientists toward domain-specific strategies and cross-department collaboration for ROI. Beyond model-building, success hinges on tangible value like improved decision-making, cost savings, or revenue growth. Those starting out see how analytics shapes strategic direction, while seasoned professionals drive large-scale transformations, executive buy-in, and measurable frameworks.
Key Topics & Use Cases:
This section builds the core skill set every data scientist must master, especially those just entering the field. Mastering fundamentals ensures consistent, high-quality analyses and lays the groundwork for more advanced topics. More experienced professionals may spend less time on the “basics” but must still ensure their teams excel here.
Key Topics & Use Cases:
As data volumes grow, the ability to process and manage “big data” in distributed, cloud-native environments is essential. Data scientists at all experience levels must understand the ecosystem to ensure scalability, efficient resource usage, and integration with enterprise architectures.
Key Topics & Use Cases:
Provides insight into advanced methodologies, promoting continuous learning. Early-career data scientists gain exposure to the development of sophisticated solutions, while experienced professionals spearhead strategic innovation. This dual focus ensures that teams are constantly building new capabilities while also shaping the organization’s long-term vision.
Key Topics & Use Cases:
Data scientists early in their careers learn the essentials of model deployment and maintenance. More experienced professionals manage large-scale systems, ensure reliability, and instil best practices across teams
Key Topics & Use Cases:
Earning the Principal Data Scientist (PDS™) certification recognizes candidates globally for their expertise and impact in data science. PDS™ serves as a benchmark of advanced skills and leadership, setting recipients apart as top-tier professionals capable of driving strategic, data-driven initiatives within their organizations. After completing all certification requirements, candidates receive a credential case containing a physical certificate, commemorative lapel pin and digital badge. These physical and digital representations of their achievement serve as a testament to their expertise and dedication in the field of data science and analytics.
Adding the PDS™ designation to your professional title enhances your credibility and signals your commitment to excellence and continuous learning in data science. This globally respected designation boosts your visibility among peers, hiring managers, and industry leaders, positioning you as an authority in data analytics, machine learning, and business intelligence.
The PDS™ designation is a mark of high achievement and dedication to advancing data science, distinguishing you as a leader in a competitive field.
Including the PDS™ designation in your title opens doors to senior roles and leadership opportunities across industries.
With PDS™, you gain recognition within a respected network of data science professionals, enhancing opportunities for connection and collaboration.
PDS™ assures employers and clients of your proven skills, instilling confidence in your ability to lead high-impact, data-driven projects.
There are six distinct stages of your PDS™ certification journey. Here’s a quick tour of what these stages look like. You may Contact Us for more information.
Before you begin your application, it’s important to confirm that you meet the minimum eligibility criteria for the PDS™ certification. Use the candidacy self-check tool here to evaluate your academic and professional qualifications and ensure alignment with the program’s requirements.
Once you’ve confirmed eligibility, you’ll create your myDASCA account to begin the application process. You'll be required to submit academic and professional background details and pay the applicable program fee. After successfully completing your application, you’ll receive access to your myDASCA dashboard.
Note: Use your legal name as per your official government-issued ID.
Register with a personal email address to avoid missed communications.
Once registered, candidates in Track 1, Track 2 and Track 4 will receive access to DASCA’s exam-preparation resources via DataScienceSkool. These digital materials include structured reading content, module-wise practice questions, and a full-length mock exam to help you prepare effectively and confidently. Track 3 candidates do not receive additional digital material, as they already hold access to digital exam preparation resources as an SDS™ candidate.
It is essential to complete the assessment milestones relevant to your chosen track. Candidates in Tracks 2 and 4 are required to complete all four assessment milestones, which include the PDS™ certification exam. Candidates in Tracks 1 and 3 need only to complete the first three milestones, as the PDS™ certification exam is exempted for them. All PDS™ assessment milestones can conveniently be completed right on your dashboard.
When ready, Tracks 2 and 4 candidates can schedule their exam online via your myDASCA dashboard. Candidates have up to 365 days from the date of registration to complete the exam. We recommend reviewing the exam scheduling policies before locking in your date.
After passing the PDS™ exam, your digital badge is issued immediately. Within 3–4 weeks, you’ll also receive your official PDS™ credential kit, which includes a physical certificate, commemorative lapel pin, and a copy of the DASCA Code of Ethics.
You will also receive guidance on how to use the PDS™ designation after your name and how to professionally showcase your credential across platforms such as LinkedIn, email signatures, and resumes. The PDS™ designation signifies your standing as a globally distinguished data science leader.
The PDS™ credential is a lifetime designation and does not expire. To keep it in good standing, you are required to update your professional achievements and learning progress every five years through your myDASCA dashboard. With automatic reminders and simple reporting tools, staying current is effortless.
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