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QualiFLY™ Institutions

You can fast-track your DASCA credentialing process if you're a student or alumnus of a DASCA-accredited/ recognized institution.
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World of Data Science
In support of our mission to empower data analysts, scientists and engineers, we’ve introduced two platforms – Data Science Current and Data Engineering Digest – offering curated content tailored to your professional needs. These platforms provide expert insights, the latest industry trends, and personalized updates to help you stay informed and ahead in the data science field.

Sign up today to customize your experience and receive newsletters with cutting-edge content, expert interviews, and exclusive updates.
- Insights
  
  Exclusive blogs that discuss the latest innovations and breakthroughs in the world of Data Science. Stay ahead with expert insights that drive industry change.
- Focus
  
  Explore the latest trends, innovative practices, and cutting-edge technologies shaping Data Science today.
- Expert Talks
  
  Engage with top industry experts as they discuss real-world applications, key challenges, and the future of Data Science. Gain deep insights to elevate your expertise.
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  Share your expertise with the global DASCA community. Contribute insights and establish yourself as a thought leader in Data Science.
- Newsroom
  
  Stay informed with the latest DASCA announcements, industry news, and upcoming events.
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Certifications
Certifications

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

Data Engineering

Validate your expertise in designing, building, and managing Big Data infrastructure.
ABDE™ Brochure SBDE™ Brochure

Data Analytics

Master the tools and techniques for advanced data analysis and insight generation.
ABDA™ Brochure SBDA™ Brochure

Data Science

Become an expert in data science methodologies and applications.
SDS™ Brochure PDS™ Brochure
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 with 5th-generation TEI technology.

> 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
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.
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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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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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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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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
The DASCA Standard of Excellence in Credentialing

The DASCA Body of Knowledge and the Essential Knowledge Framework (EKF™) define the most rigorous standards for professional excellence in Data Science. Together, they ensure that DASCA certifications reflect the highest levels of competency and expertise for data professionals.
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DASCA Body of Knowledge: Foundation for Expertise

The DASCA Body of Knowledge serves as the foundation for all DASCA certifications, ensuring each credential reflects deep, industry-wide standards of excellence in data science and analytics.

Essential Knowledge Framework (EKF™): Defining Data Science Competencies

The Essential Knowledge Framework (EKF™) outlines the authoritative skills and knowledge required for data science professionals, providing a clear, structured path to achieving DASCA certifications.
Initiatives
About
About

DASCA sets industry-leading standards, frameworks, certifications, and accreditation programs to develop skilled Big 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 Big 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.

For Analysts, Engineers, & Data Scientists
Explore how DASCA certifications prepare you for roles in diverse industries, providing cross-platform skills and vendor-neutral expertise.

For Graduating Students
Equip yourself with globally recognized credentials to start your career in data science on the right foot.

For Institutions & Universities
Get your institution DASCA-accredited to join the league of the leading global Data Science educators.

For Organizations & Recruiters
Discover how DASCA-certified professionals bring value to your organization with advanced data science skills.
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.

Choosing a DASCA Credential/data-science-certifications/choose-dasca-credential

Choosing a DASCA Credential

DASCA offers six international certification programs along three credential–tracks for the most popular Big Data professions today – Big Data Engineering, Big Data Analytics, and Data Science. Each of the three tracks has credential programs for junior and senior levels. So, whether you want to grow faster in your current Big Data job, or are just preparing to enter the Big Data space, DASCA qualifications set you up for success in your journey. Now go ahead and find out which of these six global credentials work best for you.

Associate
Big Data Engineer Certification

Objective+

To develop a strong generic and platform-based understanding of the concepts, principles, tools, and techniques required in Big Data management. ABDE™ aspirants are expected to know Big Data and its applications along with Hadoop technologies and their applications in Cloud, Machine Learning, Artificial Intelligence, Elasticsearch, etc.
Recommended Skills and Experience+

The ABDE™ is ideal for you if you are completing or have completed your Bachelor's Degree/ Associate Degree/ Diploma in Computer Science/ Information Technology/ Software Engineering or related disciplines from any nationally or internationally accredited institution. Applicants should also display basic proficiency in using Python/ JAVA or any other programming language.
Common Job Roles+
- Hadoop development and implementation.
- Designing, building, and supporting Hadoop applications.
- Turning business requirements into conceptual, logical, and physical designs for various data types and large volumes.
- Hands-on development of code used for data injection and data analysis.
Certification Fee+

ABDE™ Certification Program Fee- US$ 625. This is a one-time fee covering the ABDE™ certification exam, standard exam preparation resources (the Handbook 1: Foundations of Big Data Engineering, Handbook 2: Advanced Big Data Engineering, 3rd party optional study resources), shipping, digital badging, and the credential-kit.
Check Eligibility Requirements Download Program Brochure

Senior
Big Data Engineer Certification

Objective+

To develop a strong generic and platform-based understanding of the concepts, principles, tools, and techniques required in Big Data management. SBDE™ aspirants are expected to know Big Data and its applications along with Hadoop technologies and their applications in Cloud, MongoDB, Machine Learning, Artificial Intelligence, Elasticsearch etc.
Recommended Skills and Experience+

The SBDE™ should be your choice if you have minimum 2 years of computing experience with proficiency in using Python/JAVA or any other programming language. You are also required to have at least a Bachelor's Degree in Computer Science/ Technology/ Engineering/ Applied Sciences or related disciplines from any nationally or internationally accredited institution.
Common Job Roles+
- Hadoop development and implementation.
- Designing, building, and supporting Hadoop applications.
- Turning business requirements into conceptual, logical, and physical designs for various data types and large volumes.
- Hands-on development of code used for data injection and data analysis.
Certification Fee+

SBDE™ Certification Program Fee- US$ 750. This is a one-time fee covering the SBDE™ certification exam, standard exam preparation resources (the Handbook 1: Foundations of Big Data Engineering, Handbook 2: Advanced Big Data Engineering, 3rd party optional study resources), shipping, digital badging, and the credential-kit.
Check Eligibility Requirements Download Program Brochure

Associate
Big Data Analyst Certification

Objective+

To develop a strong generic and platform–based understanding of the concepts, principles, tools, techniques, and technologies required for designing, developing, and applying analytics frameworks and utilities and using them to output sharper information management and decision making. ABDA™ aspirants are expected to know Big Data and its applications, Analytics and its applications, R and its implementations, Mobile Analytics, and Statistical Analysis tools, techniques, and methodologies.
Recommended Skills and Experience+

This is an ideal certification for you if you are completing or have completed your Bachelor's Degree/ Associate Degree/ Diploma in Computer Science/ Mathematics/ Statistics/ Engineering/ Applied Sciences/ Economics/ Finance/ Management/ Social Sciences/ Information Systems/ Computer Application or related disciplines from any nationally or internationally accredited institution. Applicants should also display basic proficiency in working with data/ Statistics/ Business Analytics/ RDBMS.
Common Job Roles+
- Interpreting data, analyzing results using statistical techniques, and providing ongoing reports.
- Developing and implementing data collection systems and other strategies that optimize statistical efficiency and data quality.
- Acquiring data from primary or secondary data sources and maintaining databases/data systems.
- Identifying, analyzing, and interpreting trends or patterns in complex data sets.
- Locating and defining new process improvement opportunities.
Certification Fee+

ABDA™ Certification Program Fee- US$ 625. This is a one-time fee covering the ABDA™ certification exam, standard exam preparation resources (the Handbook 1: Foundations of Big Data Analytics, Handbook 2: Advanced Big Data Analytics, 3rd party optional study resources), shipping, digital badging, and the credential-kit.
Check Eligibility Requirements Download Program Brochure

Senior
Big Data Analyst Certification

Objective+

To develop a strong generic and platform–based understanding of the concepts, principles, tools, techniques, and technologies required for designing, developing, and applying analytics frameworks and utilities and using them to output sharper information management and decision making. SBDA™ aspirants are expected to know Big Data technologies and their applications, Big Data Analytics and its applications, R and its implementation, Mobile Analytics, Visualization, Machine learning, Artificial Intelligence, and Statistical Analysis tools, techniques, and methodologies.
Recommended Skills and Experience+

SBDA™ works very well for individuals who have been in the analytics and research space for two or more years and are proficient in solving problems using Statistics and Quantitative methods. You are also required to have at least a Bachelor's Degree in Computer Science/ Mathematics/ Statistics/ Engineering/ Applied Sciences/ Economics/ Finance/ Management/ Social Sciences/ Computer Application/ Information Systems or related disciplines from any nationally or internationally accredited institution.
Common Job Roles+
- Interpreting data, analyzing results using statistical techniques, and providing ongoing reports.
- Developing and implementing data collection systems and other strategies that optimize statistical efficiency and data quality.
- Acquiring data from primary or secondary data sources and maintain databases/data systems.
- Identifying, analyzing, and interpreting trends or patterns in complex data sets.
- Working closely with management to prioritize business and information needs.
- Locating and defining new process improvement opportunities.
Certification Fee+

SBDA™ Certification Program Fee- US$ 750. This is a one-time fee covering the SBDA™ certification exam, standard exam preparation resources (the Handbook 1: Foundations of Big Data Analytics, Handbook 2: Advanced Big Data Analytics, 3rd party optional study resources), shipping, digital badging, and the credential-kit.
Check Eligibility Requirements Download Program Brochure

Senior
Data Scientist Certification

Objective+

To develop a strong generic and platform–based understanding of the concepts, principles, tools, techniques, and technologies required for designing, developing, and applying analytics frameworks and utilities and using them to output sharper information management and decision making. SDS™ aspirants are expected to have advanced knowledge of Statistical Analysis tools, techniques, and methodologies and exposure to different big SDS™ and analytics language and platforms. SDS™ aspirants should source and analyze data from various perspectives with different business insights, determine what this data indicates, and recommend ways to apply the data.
Recommended Skills and Experience+

If you are a professional with four or more years of exposure in leading Big Data Analytics or Data Science functions, you are a great fit for the Senior Data Scientist (SDS™) Credential. Applicants are also required to have at least a Bachelor's Degree in Computer Science/ Mathematics/ Statistics/ Engineering/ Applied Sciences/ Economics/ Finance/ Management/ Computer Application/ Information Systems or a related discipline.

In the SDS™ program, you will thrive if you already have advanced knowledge and skills of statistical analysis techniques and tools, decent exposure to analytics platforms such as SPSS/SAS, good exposure to R, quantitative methods, and fundamentals of object-oriented programming and RDBMS, and finally, the confidence of having worked on popular/common Big Data programming and analytics platforms and technologies.
Common Job Roles+
- Developing and planning analytic projects in response to business needs.
- Contributing to the development of data models and protocols for mining production databases in conjunction with data owners and department managers.
- Developing new analytical methods and/or tools as required.
- Contributing to data mining architectures, modeling standards, reporting, and data analysis methodologies.
- Conducting research and making recommendations on data mining products, services, protocols, and standards in support of procurement and development efforts.
- Working with application developers to extract data relevant for analysis.
- Collaborating with unit managers, end-users, development staff, and other stakeholders to integrate data mining results with existing systems.
- Providing and applying quality assurance best practices for data mining/analysis services.
- Adhering to change control and testing processes for modifications to analytical models.
- Creating data definitions for new database file/table development and/or changes to existing ones as needed for analysis.
- Determining required network components to ensure data access, as well as data consistency and integrity.
- Responding to and resolving data mining performance issues, monitoring data mining system performance, and implementing efficiency improvements.
- Managing and/or providing guidance to junior members of the team.
Certification Fee+

SDS™ Certification Program Fee- US$ 850. This is a one-time fee covering the SDS™ certification exam, standard exam preparation resources (The Data Science Handbooks 1, The Data Science Handbook 2, 3rd party optional study resources), shipping, digital badging, and the credential-kit.
Check Eligibility Requirements Download Program Brochure

Principal
Data Scientist Certification

Objective+

To develop a strong generic and platform–based understanding of the concepts, principles, tools, techniques, and technologies required for designing, developing, and applying analytics frameworks and utilities in order to output sharper information management and decision making. PDS™ aspirants should have proven skills in conceptualizing, designing, and executing Big Data strategies, be accomplished in the advanced use of R and other Statistical Analysis techniques and methodologies, understand how to use tools and analytics platforms, applications of Big Data management on common Big Data platforms, and have practical exposure to object-oriented programming and RDBMS. PDS™ aspirants should source and analyze data from various perspectives with different business insights, determine what this data indicates and recommend ways to apply the data.
Recommended Skills and Experience+

PDS™ is the perfect fit for those who have at a least a Bachelor's Degree in Data Sciences/ Machine Learning/ Artificial Intelligence/ Computer Science/ Mathematics/ Statistics/ Engineering/ Applied Sciences/ Economics/ Finance/ Management/ Data Warehousing or Enterprise Data Management or related disciplines and have a series of professional accomplishments to show that you possess over a decade or more of Big Data management experiences.

You will also be expected to have proven skills in conceptualizing, designing, and executing Big Data strategies, be accomplished in the advanced use of R and other Statistical Analysis techniques, tools and analytics platforms, and applications for Big Data management on popular/common Big Data platforms, and have good practical exposure to object-oriented programming and RDBMS.
Common Job Roles+
- Developing and planning required analytic projects in response to business needs.
- Contributing to the development of data models and protocols for mining production databases in conjunction with data owners and department managers.
- Developing new analytical methods and/or tools as required.
- Contributing to data mining architectures, modeling standards, reporting, and data analysis methodologies.
- Conducting research and making recommendations on data mining products, services, protocols, and standards in support of procurement and development efforts.
- Collaborating with unit managers, end-users, development staff, and other stakeholders to integrate data mining results with existing systems.
- Guiding and suggesting team and customers in different Big Data related problems.
- Collaborating with different stakeholders for various Big Data related strategies.
Certification Fee+

Track 1 - For Invite-Only Applicants US$ 950
Track 2 - Via Corporate Nomination US$ 1250
Track 3 - For Upgrade from SDS™ US$ 750
Track 4 - For Open Applications US$ 1450
This is a one-time fee covering the PDS™ certification exam and other assessment components, study and exam-preparation resources (the Data Science Handbook 1 and the Data Science Handbook 2, 3rd party optional study resources), shipping, digital badging, and the credential-kit.
Check Eligibility Requirements Download Program Brochure

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