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ACCREDITATION
DASCA is a worldwide leader in data
science accreditation and is renowned for its
expertise in accrediting academic and
higher learning programs based on the first-ever
independent, vendor-neutral standards and
cross-platform knowledge
framework in data science.
DASCA accredits undergraduate &
graduate programs in technology,
engineering, business and other disciplines for
delivering education in Data Science, Data
Analytics and Data Engineering on DASCA’s
knowledge framework and data science
education management standards. Institutions
obtaining DASCA- accreditation for their
program(s) reflect evolved capabilities for
offering industry-relevant higher-education and
research programs in data science, data
analytics and related areas.
Why Get DASCA
Accredited
As institutions continue to grow and make their mark, they want to ensure totheir
students, alumni, employers, and campus community that the education they are
delivering is of the highest quality and adheres to strict standards setforth. Accreditation
provides assurance that the accredited data science program meets high standards for
academic excellence.
DASCA Accreditation puts the institution at the forefront of data science education.
Accreditation assures current and prospective students, as well asemployers, about the
institution’s commitment to delivery of high-quality data science education, both in
classroom and experiential learning situations.
A Reflection of
Commitment
to Excellence
03
Adoption of Latest
An Assurance of
Highest Quality
Education
04
Global
Visibility and
05 Recognition
Improved
Data Science
Curricula 02
Alignment to
Attractiveness &
06 Potential for
Collaboration
Enhanced
Global
01
Standards &
Best Practices
07 Worth of
Students
Earn the privilege to offer the most rigorous
data science credentials to your alums
International Center for Data Science (ICDS)
Institutions offering DASCA-accredited program(s) also have the opportunity
to establish a Center of Excellence in Data Science or the International Center
for Data Science (ICDS) powered by DASCA’s latestknowledge-frameworks in
data science. The center of excellence offershigh-end bachelor’s, master’s and
research programs in data science, besides offering the university new
opportunities of participating in consulting and education projects of national
importance.
This empowers institutions to develop and produce well trained and certified data
analysts, data engineers, application developers, and data scientists. CoEs are best
placed to help students develop their employability through additional learning and
global certifications in datascience areas.
Setting up the CoE in an institution starts with getting data scienceprograms
accredited by DASCA.
DASCA accreditation standards are uniquely modeled blending DASCA knowledge
standards and the principles and criteria of Baldridge education quality assessmentfor
performance excellence assurance. These standards are on the leading edge of validated
management practices that have been proven to work in high performinghigher education
institutions.
There are 11 core standards along which data science programs are evaluated byDASCA
before they can achieve accreditation.
These standards are primarily connected to:
Accreditation
Standards
Strategic
Planning
Student
Learning
Assessment
systems
Curriculum
management
and Industry
relationship
Quality of
Leadership
Student and
Stakeholder
Focus
Faculty
Quality
Focus
Department
performance
The DASCA accreditation program is now open for governments, universities, and vocational training
institutions in several countries. Institutions can apply for DASCA accreditation along either the
Standard or the Accelerated accreditation track. The difference is that the Standard accreditation track
involves six stages of assessment,whereas the Accelerated accreditation track is faster and involves
only two stages.
Continuation of DASCA Accreditation
A DASCA accreditation of a data science program is valid for 6 years, and continuation of
the accredited status for the next three years can be conveniently obtained online by ensuring
compliance to the 11 DASCA standards. Continuationof accreditation for programs
essentially hinges on demonstrating that the programs are guided by standards-driven data
science learning, and a healthy percentage of students of these programs are regularly
qualifying DASCA certification exams.
DASCA Accreditation
Process
Online
Application
Validation
and
Approval
Access to
DASCAnet
dashboard
Uploading
the required
information
Final
Decision
and Award
Application Tracks:
STANDARD ACCREDITATION TRACK
ACCELERATED ACCREDITATION TRACK
© Data Science Council of America. All Rights Reserved.

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Know How to get DASCA Accredited

  • 2. DASCA is a worldwide leader in data science accreditation and is renowned for its expertise in accrediting academic and higher learning programs based on the first-ever independent, vendor-neutral standards and cross-platform knowledge framework in data science. DASCA accredits undergraduate & graduate programs in technology, engineering, business and other disciplines for delivering education in Data Science, Data Analytics and Data Engineering on DASCA’s knowledge framework and data science education management standards. Institutions obtaining DASCA- accreditation for their program(s) reflect evolved capabilities for offering industry-relevant higher-education and research programs in data science, data analytics and related areas.
  • 3. Why Get DASCA Accredited As institutions continue to grow and make their mark, they want to ensure totheir students, alumni, employers, and campus community that the education they are delivering is of the highest quality and adheres to strict standards setforth. Accreditation provides assurance that the accredited data science program meets high standards for academic excellence. DASCA Accreditation puts the institution at the forefront of data science education. Accreditation assures current and prospective students, as well asemployers, about the institution’s commitment to delivery of high-quality data science education, both in classroom and experiential learning situations. A Reflection of Commitment to Excellence 03 Adoption of Latest An Assurance of Highest Quality Education 04 Global Visibility and 05 Recognition Improved Data Science Curricula 02 Alignment to Attractiveness & 06 Potential for Collaboration Enhanced Global 01 Standards & Best Practices 07 Worth of Students
  • 4. Earn the privilege to offer the most rigorous data science credentials to your alums International Center for Data Science (ICDS) Institutions offering DASCA-accredited program(s) also have the opportunity to establish a Center of Excellence in Data Science or the International Center for Data Science (ICDS) powered by DASCA’s latestknowledge-frameworks in data science. The center of excellence offershigh-end bachelor’s, master’s and research programs in data science, besides offering the university new opportunities of participating in consulting and education projects of national importance. This empowers institutions to develop and produce well trained and certified data analysts, data engineers, application developers, and data scientists. CoEs are best placed to help students develop their employability through additional learning and global certifications in datascience areas. Setting up the CoE in an institution starts with getting data scienceprograms accredited by DASCA.
  • 5. DASCA accreditation standards are uniquely modeled blending DASCA knowledge standards and the principles and criteria of Baldridge education quality assessmentfor performance excellence assurance. These standards are on the leading edge of validated management practices that have been proven to work in high performinghigher education institutions. There are 11 core standards along which data science programs are evaluated byDASCA before they can achieve accreditation. These standards are primarily connected to: Accreditation Standards Strategic Planning Student Learning Assessment systems Curriculum management and Industry relationship Quality of Leadership Student and Stakeholder Focus Faculty Quality Focus Department performance
  • 6. The DASCA accreditation program is now open for governments, universities, and vocational training institutions in several countries. Institutions can apply for DASCA accreditation along either the Standard or the Accelerated accreditation track. The difference is that the Standard accreditation track involves six stages of assessment,whereas the Accelerated accreditation track is faster and involves only two stages. Continuation of DASCA Accreditation A DASCA accreditation of a data science program is valid for 6 years, and continuation of the accredited status for the next three years can be conveniently obtained online by ensuring compliance to the 11 DASCA standards. Continuationof accreditation for programs essentially hinges on demonstrating that the programs are guided by standards-driven data science learning, and a healthy percentage of students of these programs are regularly qualifying DASCA certification exams. DASCA Accreditation Process Online Application Validation and Approval Access to DASCAnet dashboard Uploading the required information Final Decision and Award
  • 7. Application Tracks: STANDARD ACCREDITATION TRACK ACCELERATED ACCREDITATION TRACK © Data Science Council of America. All Rights Reserved.