SRM Institute of Science and Technology—One of India’s Top-Ranked Universities Is Now DASCA Accredited

SRM Institute of Science and Technology (SRMIST), one of India’s top-ranked universities with over 50,000+ students, has reached a major milestone by earning accreditation for its Data Science, AI, and related programs from the Data Science Council of America (DASCA). This prestigious recognition solidifies SRMIST's position as a leader in technology education, highlighting its commitment to academic excellence in the fast-growing field of data science.

The DASCA accreditation covers SRMIST's Bachelor’s, Master’s, and PhD programs in data science and related disciplines, affirming the institution's adherence to international standards in curriculum, teaching, and research. SRMIST is now empowered to equip its students with cutting-edge knowledge and skills in data science, preparing them to thrive in a rapidly evolving industry and contribute to India's growing data-driven economy.

“At SRMIST, we aim to foster a transformative academic environment that bridges rigorous education and innovative research,” said Prof. S. Ponnusamy, Ph.D., Registrar. “Achieving DASCA accreditation reinforces our commitment to excellence by aligning with globally recognized standards in data science education. This milestone highlights our dedication to maintaining the highest benchmarks in teaching, learning, and industry collaboration.”

India is experiencing remarkable growth in the field of data science, with groundbreaking advancements transforming industries and creating new opportunities. SRMIST’s accreditation by DASCA highlights its pivotal role in driving this transformation, providing students with access to state-of-the-art tools, frameworks, and methodologies that meet global standards.

Aariya Goel, Managing Director & Global Head of Accreditation Projects under the World Data Science & AI Initiative, stated "The DASCA accreditation marks a significant step forward for SRM Institute of Science and Technology in adopting the most rigorous, efficient, and outcome-driven standards in university-level technology education.” She further emphasized, “We are confident that this recognition will not only elevate the quality of data science education in the country but also enhance its potential to shape and strengthen technology education across India and Southern Asia."

As a global leader in establishing standards, frameworks, and accreditation for data science education, DASCA sets the benchmark for institutions committed to delivering impactful, industry-aligned education. With this recognition, SRMIST is positioned to lead transformative change and cultivate a pipeline of skilled data science professionals who will shape the future of technology.

About SRM Institute of Science and Technology

SRM Institute of Science and Technology is a leading university in India, offering diverse undergraduate, postgraduate, and doctoral programs across six faculties, including Engineering, Medicine, Management, and Law. With a strong emphasis on innovation and multidisciplinary collaborations, SRMIST is dedicated to addressing the world’s most pressing challenges.

The institution is home to over 50,000+ students and 3,200 faculty members across numerous campuses in India. Guided by a global vision and core values of inclusivity, innovation, and integrity, SRMIST is committed to excellence in education and research. Its mission is to leverage engineering principles, techniques, and systems to solve global challenges and foster knowledge for the betterment of humanity.

About DASCA

DASCA's efforts, including initiatives, standards, knowledge frameworks, certifications, and accreditation mechanisms, are instrumental in defining the trajectory of education, learning, and professional development in data science. DASCA plans to finalize over 200 projects by 2025. World Data Science & AI Initiative recommendations qualify many of these institutions for expedited and subsidized accreditation. DASCA certifications emerge as the paramount qualifications for Data Science professionals worldwide, characterized by platform neutrality and vendor independence, seamlessly integrating with the specialization requirements for career-critical skills.