JK Lakshmipat University wins DASCA accreditation for data science and AI
JK Lakshmipat University in Jaipur has secured accreditation from the Data Science Council of America, a move that underscores its push to align Data Science and AI education with global standards and industry needs. The recognition is set to deepen the university’s access to DASCA and WDSAI initiatives, including faculty development, research, and capability-building efforts.
Why it matters: - The DASCA accreditation gives JK Lakshmipat University a global quality marker in Data Science & AI. - The recognition supports the university’s effort to link classroom learning with industry relevance, applied problem solving, and technology-driven careers. - The accreditation may help JKLU expand participation in DASCA and World Data Science & AI Initiative programs that support faculty growth and research collaboration.
What happened: - JK Lakshmipat University secured accreditation from the Data Science Council of America. - The announcement was made June 10, 2026, in Jaipur, Rajasthan. - The accreditation reflects JKLU’s push to strengthen experiential education in Data Science & AI. - Avik Dutta, Country Manager for India at Academik America, said the recognition reflects a contemporary approach to higher education built around innovation, interdisciplinary thinking and applied learning. - Prof. Vijaysekhar Chellaboina, Vice Chancellor of JKLU, said the accreditation supports the university’s efforts to integrate Data Science & AI with experiential learning, industry engagement and problem-solving.
The details: - JKLU says its academic ecosystem is built around interdisciplinary learning, experimentation, design thinking, industry collaboration and experiential education. - The university’s model combines project-based learning, industry exposure, research engagement, innovation platforms and interdisciplinary collaboration. - Students study Data Science & AI across business, engineering, sustainability, design, entrepreneurship and emerging digital ecosystems. - The accreditation recognizes efforts to improve academic quality, interdisciplinary learning and industry relevance in Data Science & AI. - JKLU says the goal is to prepare students with analytical foundations, practical problem-solving skills, innovation-oriented thinking and adaptability. - The accreditation can open the door to faculty advancement platforms, collaborative academic initiatives, research engagement and institutional capability-building through DASCA and WDSAI. - JKLU was founded in 2011 and is backed by the 140-year legacy of the JK Group. - The university offers undergraduate, postgraduate and doctoral programs in engineering, management and design. - JKLU highlights facilities including the Centre for Communication and Critical Thinking, the Centre for Global Learning Programmes and the Atal Incubation Centre. - DASCA describes itself as a global standards and accreditation body for data science and related disciplines. - Academik America says it operates across 90+ countries through 50+ programs and partnerships with 200+ organizations.
Between the lines: - The accreditation signals a broader move by JKLU to position Data Science & AI as part of a wider interdisciplinary education strategy, not as a standalone technical track. - The focus on experiential learning suggests the university is leaning into employability, adaptability and real-world application as higher education expectations shift. - The recognition also gives JKLU a stronger platform to market its tech-related programs to students and partners looking for globally aligned credentials.
What’s next: - JKLU is likely to expand engagement with DASCA and WDSAI initiatives tied to faculty development, research and institutional capacity building. - The university says it will continue building learning environments that blend technical depth with creativity, entrepreneurship and practical application. - The accreditation may also support future academic and industry collaborations around Data Science & AI.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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