India’s data science and artificial intelligence landscape is entering a phase of accelerated expansion, with industry estimates indicating sustained double-digit growth driven by enterprise adoption, regulatory evolution, and digital transformation across sectors. As organizations increasingly embed AI into core operations, the demand for professionals who can bridge technology, policy, and business decision-making is becoming more pronounced, highlighting the need for interdisciplinary and globally informed talent.
In response to this shift, O.P. Jindal Global University is advancing an academic approach that integrates technology, law, business, and public policy to address the multifaceted dimensions of data science and artificial intelligence. The university has been conferred accreditation by the Data Science Council of America (DASCA), emphasizing its commitment to globally referenced academic standards, structured program design, and industry-aligned learning outcomes in the domains of data science and artificial intelligence.
O.P. Jindal Global University is a leading interdisciplinary institution in India, offering undergraduate, postgraduate, and doctoral programs across law, business, international affairs, public policy, liberal arts, and emerging technology domains. The university is distinguished by its emphasis on integrated learning, global perspectives, and a strong connection between research, policy, and practice.
With a vibrant academic environment supported by a diverse international community, the university brings together over 16,000 students across its academic schools and programs, creating a dynamic setting for intellectual exchange and collaborative learning. This is complemented by a robust academic foundation of more than 1,100 faculty members, including internationally trained scholars, practitioners, and policy experts, contributing to a globally oriented and research-intensive learning experience.
The university’s residential campus in Sonipat, Haryana, is designed to support academic rigor, cross-disciplinary engagement, and global immersion. Through sustained international collaborations, research initiatives, and industry partnerships, JGU continues to strengthen its position as a globally engaged institution, committed to developing future-ready graduates equipped to navigate complex, technology-driven, and policy-influenced environments.
India is entering a data-intensive growth phase, where digital infrastructure, AI adoption, and large-scale data generation are reshaping how industries operate and compete. As organizations transition toward data-led strategies, the need for professionals who can interpret complex datasets, build intelligent systems, and translate insights into decision-making is expanding rapidly across sectors such as fintech, healthcare, e-commerce, and advanced manufacturing.
In this context, O.P. Jindal Global University is advancing its academic focus on emerging technology domains, including artificial intelligence, machine learning, and data-centric computing. Through a curriculum that emphasizes applied learning, analytical rigor, and industry alignment, the university aims to equip students with the technical depth and practical skills required to navigate and contribute to data-driven environments.
India is rapidly strengthening its position as a global hub for data science and analytics talent, supported by rising digital adoption and the growing use of AI across industries. NASSCOM estimates indicate that the country already hosts over 200,000 professionals in analytics roles, with demand continuing to expand at a strong pace.
In this context, O.P. Jindal Global University is advancing its focus on emerging technology domains such as artificial intelligence, data science, and analytics through an interdisciplinary academic approach. Its DASCA accreditation reflects a structured commitment to globally aligned standards, enabling the university to equip students with the analytical, technical, and decision-making capabilities required in data-driven environments.
The academic programs at O.P. Jindal Global University have undergone a rigorous evaluation by the Data Science Council of America (DASCA). The accreditation, granted on April 22, 2026 and valid through April 21, 2032 affirms that the university’s programs are aligned with globally benchmarked, vendor-neutral standards in data science education and competency development.
Through this accreditation, JGU reinforces its commitment to aligning academic delivery with internationally recognized knowledge frameworks and evolving industry practices. The recognition supports the university’s efforts to strengthen curriculum design, promote applied learning, and equip students with the analytical, technical, and interdisciplinary capabilities required for roles in data science and advanced analytics.
“Higher education must evolve to reflect a world where data and intelligence shape both opportunity and responsibility. At Jindal Global University, we see data science and artificial intelligence as deeply interdisciplinary, demanding not only technical proficiency, but also ethical judgment and global perspective. This recognition reinforces our commitment to developing leaders who can engage with complexity, apply knowledge responsibly, and contribute meaningfully to a rapidly transforming world.”
DASCA accreditation is recognized globally as a rigorous benchmark for quality and relevance in data science education. Through a structured and comprehensive evaluation process, it affirms an institution’s alignment with internationally established, vendor-neutral standards and its commitment to delivering academically robust and industry-relevant programs.
For O.P. Jindal Global University, this accreditation represents a strategic advancement in strengthening its approach to data science and artificial intelligence education. It reflects the institution’s emphasis on integrating technology with disciplines such as law, business, and public policy, while reinforcing its commitment to global engagement, academic rigor, and practice-oriented learning. By achieving DASCA accreditation, the university further advances its objective of preparing students with the analytical depth, interdisciplinary perspective, and professional readiness required to navigate complex, data-driven environments.