ARTiBA accreditation strengthens the academic delivery mechanisms for programs and courses in Ai offered by universities and technology schools. Modernization and standards-alignments of the curricula and significant enhancement of employability and career outcomes for students are the most critical upshots of accreditation for academic educators. The ARTiBA accreditation system is fast, intuitively automated and thoroughly digital from start to finish, ensuring project completion in 8-10 weeks with zero disruption in academic activities.

Deep-Reaching, Objective & Digital

The ARTiBA accreditation process seeks to comprehensively assess the extent to which the curricula, policies and practices, delivery quality, delivery infrastructure and assessment mechanism are aligned to real-world technology requirements and how they impact the learning and career outcomes of students.

The digital accreditation process ensures that all informational and documentary disclosures are done electronically on the dedicated accreditation dashboards created individually for institutions. The ARTiBA accreditation process is completely non-disruptive and objective and managed remotely by experts.

ARTiBA's accreditation approach focuses on evaluating student learning outcomes; instruction and teaching approaches; organicity and industry-alignment of curricula; and scope for continuous improvement.

Institutions with programs accredited by ARTiBA exhibit an unwavering commitment for continuous improvement ensuring, that their Ai program(s) will give students the knowledge and skills the employers and the industry want.

Deep-Reaching, Objective & Digital
Subsidized Accreditation

Subsidized Accreditation

In early 2020, ARTiBA joined hands with the Data Science Council of America (DASCA) under the World Data Science Initiative (WDSI). This has made it possible for institutions accredited by DASCA to obtain accreditation by ARTiBA in the accelerated mode and on subsidy.

WDSI lists deserving institutions that exhibit a clear intent, promise, and potential for adopting and embracing the latest technology teaching-learning standards, and which can be turned into actual capabilities through accreditation. As one of the sponsors of WDSI, ARTiBA is committed to assessing and accrediting more than two hundred institutions recommended for WDSI subsidy in the next two years.

Upgrade to Latest Ai Learning Standards

ARTiBA accreditation helps technology schools and computer science departments and faculties of universities enhance student learning and employability outcomes by upgrading their academic delivery systems and curricula to ARTiBA’s rigorous AMDEX™ standards in Ai and machine learning. Accreditation equips institutions with a streamlined mechanism to augment their undergraduate and graduate programs with the globally renowned AiE™ -ARTiBA’s most advanced Ai certification.

ARTiBA-accredited institutions can also introduce new undergraduate and master’s programs in Ai if they do not have them yet. ARTiBA accreditation ensures that students are learning through curricula, content, material and process that are provenly optimized for maximum internalization of theoretical and conceptual knowledge, and development of advanced skills that turns students into perceptive Ai professionals upon graduation.

Upgrade to Latest Ai Learning Standards

For Institutions
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The ARTiBA accreditation program is open to universities, higher-education institutions, and degree-granting government ICT academies. Institutions already accredited by other international accreditation bodies are placed on the accelerated accreditation track. Institutions shortlisted under the World Data Science Initiative are accredited on a subsidized fee.

In early 2020, ARTiBA and the Data Science Council of America (DASCA) joined hands to introduce the Twinned Accreditation Program for Ai & data science. Under this, DASCA shares all audit information of institutions getting DASCA-accredited with ARTiBA, and they will be considered for ARTiBA accreditation at a fast pace.

All accreditation applications are approved only when institutions meet and qualify ARTiBA's norms on academic intent, quality, excellence, and reputation. Accreditation applications are approved by ARTiBA using independent industry and market intelligence processes. Once approved, institutions are sent a link to the ARTIBAnet portal to commence their participation in the accreditation process. Institutions can choose either of the tabs below to initiate their accreditation request.

External experts and organizations have been officially assigned the responsibility of reaching out to universities around the world for ARTiBA accreditation. One particular focus are the young and promising institutions in developing nations in Asia, Africa, and Latin America recommended under ongoing global assistance and subsidy programs such as the World Data Science Initiative (WDSI).

  • Developing Versatile & Adaptive Ai Engineers +
  • Preparing Institutions For High-Quality Ai Education +
  • Making Institutions Influence and Impact Industry +

10-Spoke ARTiBA Standards

Ai programs of universities and technology schools are evaluated by ARTiBA along the 10-spoke ARTiBA Ai Education Management Standards to determine their readiness for accreditation. These standards are connected to Vision & Strategic Planning; Academic & Institutional Leadership quality; Student and Stakeholder Focus; Student Learning & Assessment systems; Faculty Quality Focus; Curriculum management and Education unit/department performance history.

Based on the performance excellence model of Malcolm Baldrige, ARTiBA accreditation standards include aspects of the powerful AMDEX™ knowledge framework to ensure that institutions aligning to it are able to absorb the leading edge of validated management practices that are the hallmark of other global institutions.

Spoke ARTiBA Standards

Accreditation Eligibility

To obtain ARTiBA accreditation for its Ai programs, an institution must:

  • Have offered (a) degree(s) in Ai or related technology areas for at least two years and have alumni from the programs. Institutions shortlisted under WDSI, however, are exempt from this condition, and their accreditation application will be accepted even if they do not have a history of offering Ai education.

  • Have a publicly-stated purpose appropriate to a college or university that has been approved by the institution’s governing body (i.e. Regents, Trustees, etc.)

  • Ensure that the program being filed for ARTiBA accreditation has a clear roadmap of offering ARTiBA certification curricula after the award of accreditation.

Apply For ARTiBA Accreditation Today!

The ARTiBA accreditation program is now open to universities, and other degree granting institutions in several countries. We are currently considering applications from institutions that are already DASCA accredited and eligible for subsidized, accelerated ARTiBA accreditation under the World Data Science Initiative.

Apply Now

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