Data Science Council of America
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Initiatives/initiatives/index

Initiatives

Revolutionizing data science careers and education around the world, one honest effort at a time...

HOME Initiatives

From spearheading the World Data Science Initiative (WDSI) to nurturing young talent with the Data Science in Schools (DaSS) initiative, to recognizing excellence in data science teaching and instruction, DASCA is revolutionizing the way data science is taught and learned in campuses around the world and how thousands of shining data science careers are made along the way.

Transforming Data Science Education

DASCA initiatives reflect our untiring zeal to change, energize, enrich and democratize the way data science is perceived as an educational and training discipline, and taught and learned in schools and universities around the world.

Transforming Data Science Educators

Through these initiatives, DASCA intends to:

  • Bring down the costs of adapting the best and the latest by educational institutions and organizations, particularly in developing countries
  • Increase the speed and effectiveness at which they can adapt, embrace, implement and sustain the latest
  • Establish mechanisms that ensure curriculum and education quality management
  • Empower universities for nurturing higher-order tech employability among students
  • Excite, recognize, encourage and improve teaching and instruction quality in institutions across learner levels
  • Inspire and accelerate research and knowledge creation in data science areas
World Data Science Initiative

The World Data Science Initiative (WDSI)

As the pioneer of the concept of subsidized accreditation in data science, DASCA was among the founding forces of the World Data Science Initiative (WDSI). Today, WDSI is reaching out across dozens of countries with a vision of facilitating subsidized accreditation of hundreds of institutions in Data Science and AI.

To actively support the aims and purpose of WDSI, DASCA offers its certifications and specially customized accreditation services at subsidized fees. DASCA is actively participating in many regionally focused accreditation and student certification projects of the World Data Science Initiative with the objective of creating a pool of 250,000 certified data science and AI professionals across universities and technology educators across 60+ nations.


Please contact us to explore how you can leverage WDSI subsidies and grants to elevate your institution's stature, upgrade your current curricula, and introduce diverse new academic and professional courses in data science. Applying for DASCA accreditation under WDSI can also facilitate accreditation from the Artificial Intelligence Board of America (ARTiBA), renowned for certifying and accrediting excellence in AI and machine learning disciplines worldwide.

DASCA & WDSI – Equipping Institutions for Excellence

DASCA accredits Bachelor’s and Master’s programs offered by WDSI-recommended institutions under the accelerated track and subsidizes student certifications through a formalized mechanism.

Starting the Big Change

With WDSI subsidies reducing DASCA accreditation costs by nearly 70%, institutions in developing nations now have a transformative opportunity to come on par with their global counterparts.

WDSI aims to empower universities with the wherewithal to deliver the latest, industry-linked education in data science for promising careers and enhanced global competitiveness.

WDSI provides subsidies to shortlisted universities for accreditation and student certification by international standards bodies, fostering the adoption of global best practices, curricula, and educational standards and expanding their capacity to cultivate a skilled workforce proficient in big data and AI technologies.

Reaching the Next Level

Achieving accreditation from global standards bodies in data science, AI, and machine learning ensures consistently high academic standards. With WDSI, DASCA simplifies this process, making it faster and more cost-effective. These pivotal technology disciplines often evolve rapidly, presenting challenges for universities to introduce new courses that will keep students ready to work on emerging tools and platforms that industry and employers expect them to.

Aligning with Big Tech

WDSI-subsidized DASCA accreditation puts universities almost in the auto-mode, in which the curricula and systems automatically stay synced with the demands of the industry, as they are tied to knowledge frameworks of leading standards bodies in these tech-domains. Accreditation equips universities with the right mechanisms, systems, curricula, certifications and teaching-learning approaches that are constantly benchmarked with the best in the world.

Grab the Synergy Advantage!

Write to us for more details on how you can leverage WDSI subsidies and grants to get accredited and elevate your institution’s stature, upgrade your current offerings, and introduce a wide range of new academic and professional courses and programs in data science. By applying for a DASCA accreditation under WDSI, your institution can also leverage the synergy among WDSI sponsor institutions and obtain accreditations from ARTiBA, the world’s leading certifier and accreditor in artificial intelligence and machine learning disciplines.

Data Science in Schools (DaSS)

The DaSS envisions transforming the very way we build technology leaders of tomorrow by equipping 2000+ K12 educators around the world with the latest data science teaching and learning by 2025.

  • The DaSS-K12 Synergy – Nurture Them Young

    DASCA's Data Science in Schools initiative seeks to involve and engage 2000+ K12 schools around the world in embracing data science in exciting new ways. Under this initiative, while DASCA will share the latest vendor-independent data science curricula with schools and interesting learning methods, the schools will be helped in working with their teachers to build data science into the school academic programs - both, in STEM and non-stem areas. With a special focus on K12 schools in developing nations, the DASCA DaSS initiative puts emphasis on enabling all K12 students cutting across interests and disciplines develop a sound understanding of the ways data science improves their learning in the future.

  • The DaSS-K12 Partnership – Shining the Young

    The Data Science in Schools initiative plans an exciting combination of contests, events and certifications in many areas of data science and artificial intelligence for high-schoolers. The DaSS team has planned out effective programs to help fan out modern technologies like data science and artificial intelligence into the world’s K-12 schools to change the way children prepare for their careers and the future.

  • Data Science in Schools: Inside the Initiative!

    The Data Science in Schools initiative is essentially composed of five elements:
    • Making teaching and learning data science interesting and attractive through contests and events
    • Easing integration of data science in curricula through diffusion across existing courses
    • Action Learning through Hackathons and Olympiads - activities that will help them in undergrad admissions
    • Certifying high school students in various areas of data science - again, these certifications also help in undergrad admissions
    • Accreditation of schools under unique STEM-based model using portal-based process
DaSS Intitative

The DaSS Initiative: Join in Today!

Write to us now to explore how your school can participate in this exciting initiative. Our team will fill you in on the wide array of exciting data science and artificial intelligence curricula and content you will get for various levels of students – from middle schoolers and up.

Once your school signs up with DaSS, we will share how joining this initiative will enable you institutionalize mechanisms in your school to get students closer to technology and understand what career paths they can pursue through data science, and what opportunities they will have in the future to apply data science at their job.

Signing up with DaSS will set off a chain of activities to equip your school for foundational data science teaching-learning in an exciting way using real-world examples and applications of Data Science through certifications, projects, course assignments, contests, Olympiads and online seminars.

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