MNR University

India's rapid digital transformation has placed advanced analytics and artificial intelligence at the center of technological progress. With the AI market projected to grow at a CAGR of 25–35% over the next four years, organizations across healthcare, finance, manufacturing, and public services are accelerating investments in data-driven technologies, significantly widening the gap between industry requirements and the existing talent pipeline. Supported by a strong technology ecosystem, expanding digital infrastructure, and a growing pool of technically trained graduates, India is increasingly recognized as an important contributor to the global data and AI economy.

MNR University is advancing its commitment to future-oriented technology education through its programs in computing, artificial intelligence, and data science, dedicated to preparing students with the analytical capabilities, technical proficiency, and interdisciplinary understanding required for emerging technology domains. Reflecting this commitment to globally aligned academic standards, MNR University has received accreditation from the Data Science Council of America (DASCA), an acknowledgment of the university's dedication to fostering rigorous, industry-relevant education in the rapidly advancing fields of data science and artificial intelligence.

About MNR University

MNR University is an institution dedicated to advancing higher education through interdisciplinary learning, research, and professional training. Located in Sangareddy, Telangana, the university operates from a well-developed campus with modern academic infrastructure, laboratories, libraries, and learning facilities that support rigorous study and holistic student development. Through its academic programs across diverse disciplines, the university focuses on building strong intellectual foundations, practical skills, and the capacity to engage with emerging technological and societal challenges. The university is established under the aegis of the MNR Educational Trust, an educational organization founded in 1974 with a long-standing commitment to expanding access to quality education. Over the years, the Trust has developed a broad network of institutions spanning medical sciences, engineering, pharmacy, nursing, and allied disciplines.

Collectively, these institutions support an academic community of over 49,000 students and more than 2,300 doctors and faculty members, supporting teaching, research, and clinical education reflecting the Trust’s sustained contribution to higher education and professional training.

MNR
Advancing a High-Impact Data Science Workforce in India

Advancing a High-Impact Data Science Workforce in India

India’s technology landscape is undergoing a significant shift as organizations increasingly rely on data, advanced analytics, and artificial intelligence to guide decision-making and innovation. Across sectors such as healthcare, finance, manufacturing, and digital services, the demand for professionals skilled in data science and intelligent systems continues to accelerate.

  • Global Data Science Market: Industry analyses indicate that India’s analytics and AI workforce is expected to grow to more than 1.4 million professionals within the next few years.
  • Job Opportunities – India: Demand for data scientists in India has increased by more than 60% since 2019, while the country already accounts for one of the largest pools of data science and analytics talent globally. IBM-based projections indicate approximately 2.7 lakh new job openings for data professionals in India, highlighting sustained expansion in analytics and AI roles.
  • Data Science Education: Global investments in artificial intelligence are projected to exceed USD 300 billion annually before the end of the decade, reinforcing the growing importance of specialized data science education.

Within this evolving educational landscape, MNR University is strengthening its focus on emerging technology disciplines, including artificial intelligence, machine learning, and data-driven computing. Through its academic programs and industry-oriented learning approach, the university seeks to prepare students with the analytical capabilities, technical proficiency, and practical understanding required to succeed in data science–driven industries.

India’s Data Science Ecosystem

India has rapidly emerged as one of the world’s largest sources of data science and analytics talent. NASSCOM identifies, the country currently has over 200,000 data science and analytics professionals, with demand for these roles growing by more than 60% since 2019. Industry projections further indicate that India’s analytics and AI workforce could exceed 1.4 million professionals in the coming years, driven by increasing adoption of data-driven technologies across sectors. In this evolving landscape, MNR University is strengthening its academic focus on emerging fields such as artificial intelligence, machine learning, and data-driven computing. Through its technology-oriented programs and emphasis on applied learning, the university aims to cultivate analytical thinking, computational expertise, and interdisciplinary
problem-solving skills among students.

The institution’s DASCA accreditation reflects its commitment to aligning academic programs with globally recognized standards in data science education and to preparing graduates who can contribute effectively to the expanding data and AI workforce.

India's Data Science Talent Ecosystem
DASCA Accreditation

DASCA Accreditation

The academic programs at MNR University have successfully completed a comprehensive evaluation by the Data Science Council of America (DASCA). The accreditation, granted on April 7, 2026 remains valid through April 6, 2032 confirming that the university’s programs meet internationally recognized, vendor-neutral standards in data science education and competency frameworks.

Accredited Programs

Through DASCA accreditation, MNR University aligns its academic offerings with globally referenced knowledge frameworks and evolving industry expectations. This recognition supports the institutions efforts to strengthen curriculum relevance, enhance practical learning experiences, and prepare students with the analytical and technical capabilities required for careers in data science and advanced analytics.

Undergraduate Programs:

  • B.Tech. (Hons) – Computer Science and Engineering (CSE)
  • B.Tech. (Hons) – Computer Science and Engineering (Artificial Intelligence & Machine Learning)
  • B.Tech. (Hons) – Computer Science and Engineering (Data Science & Artificial Intelligence)

"DASCA accreditation validates the direction we have taken in strengthening data science education at MNR University. By aligning our programs with globally recognized frameworks, we are able to deliver learning that combines strong fundamentals with practical, industry-relevant skills."

Dr. Kiran Kumar Ravulakollu,
Dean, School of Engineering & Technology and Artificial Intelligence, MNR University.

Impact of DASCA Accreditation

DASCA accreditation represents a rigorous academic evaluation that affirms adherence to internationally referenced standards in data science education. The accreditation process examines multiple dimensions of academic quality, including curriculum design, pedagogical practices, faculty expertise, and the extent to which programs reflect contemporary developments in data science and analytics.

For MNR University, the DASCA accreditation recognition underscores the institution’s commitment to maintaining high academic standards and strengthening the global relevance of its data science related programs. This recognition supports the university’s broader objective of advancing scholarly engagement, enhancing interdisciplinary learning, and preparing graduates with the analytical proficiency and technical competence required to contribute effectively to the evolving domains of data science and artificial intelligence.