Kishkinda University for AI & Data Science gets DASCA Accreditation
Saturday, April 18, 2026
Kishkinda University has been awarded accreditation by the Data Science Council of America (DASCA), for its academic programmes in AI and data science, underscoring its focus on building structured, industry-aligned programmes in emerging technology domains.
The DASCA accreditation reflects the university’s effort to align its programmes with globally referenced standards in data science education. It ensures that academic design, delivery, and outcomes remain consistent with evolving industry expectations. It also supports Kishkinda University’s broader intent to build programs that are structured, relevant and aligned with the needs of data-driven and AI-enabled environments. Contd
At the core of this approach is a clear focus on integrating computing, analytics, and intelligent systems into a cohesive academic framework. Students engage with the full lifecycle of data-driven systems, from foundational concepts to applied modeling and deployment, building the capability to operate effectively in complex, technology-driven contexts.
Speaking on this development, Avik Dutta, Country Manager, India at Academik America noted, “Kishkinda University’s approach reflects a clear intent to align academic programmes with how data science and AI are evolving in practice. The accreditation signals a structured and forward-looking academic direction that is closely connected to emerging industry requirements.”
Reflecting on this milestone, Dr T N Nagabhushana, VC, Kishkinda University emphasised, “This accreditation reflects our continued effort to strengthen academic quality in emerging technology areas. We are focused on delivering programs that combine conceptual depth with practical exposure, enabling students to work effectively in data-driven and technology-oriented roles.”
The accreditation also positions Kishkinda University to engage with global initiatives led by DASCA, including the World Data Science & AI Initiative (WDSAI). Through this engagement, the university can participate in faculty development initiatives and contribute to the development of Centers of Excellence that support research, innovation, and interdisciplinary collaboration.
