CMR University has been recognised for Excellence in Artificial Intelligence Education (2026), reaffirming its commitment to industry-relevant, ethically grounded, and future-focused AI learning.
In a significant endorsement of its academic vision and future-focused learning ecosystem, CMR University has been recognised for Excellence in Artificial Intelligence Education (2026) by Tech AI Magazine under its AI Institutions Ranking Framework. This recognition places the University among a select group of institutions in India shaping meaningful, industry-relevant, and socially conscious AI education.
The honour reflects more than curricular strength; it acknowledges the University’s sustained efforts to align teaching, research, and innovation with the rapidly evolving demands of artificial intelligence and machine learning. As AI continues to redefine industries and societies, recognitions such as these underscore the importance of institutions that prepare students not merely to adapt to technological transformation, but to lead it responsibly.
AI Education Rooted in Vision and Purpose
At the core of this achievement lies CMR University’s guiding vision: to nurture creative thinkers who will drive positive global change. This philosophy is deeply embedded in the way AI and ML education is conceptualised and delivered across programmes. Rather than treating artificial intelligence as a standalone technical domain, CMRU approaches it as a multidisciplinary force intersecting with ethics, sustainability, innovation, and human-centred problem-solving.
Over the years, the University has invested consciously in building a robust AI learning ecosystem that integrates foundational theory, applied research, real-world problem contexts, and industry exposure. This ensures that students graduate with both technical depth and contextual awareness.
A Strong AI Portfolio at the School of Engineering and Technology
The School of Engineering and Technology (SOET) plays a pivotal role in this recognition. It offers a carefully structured suite of undergraduate and postgraduate programmes designed to meet current industry expectations while remaining agile enough to evolve with emerging AI trends.
Undergraduate programmes include:
- B.Tech. in Artificial Intelligence & Machine Learning
- B.Tech. in Computer Engineering (with specialisation in AI & ML / IoT)
- B.Tech. in Computer Science & Technology (with specialisation in AI & ML / IoT) – IT & ECE streams
- B.Tech. in Artificial Intelligence & Data Science
At the postgraduate level, students may pursue:
- M.Tech. in Artificial Intelligence, enabling deeper specialisation through advanced coursework, research-driven projects, and industry-linked problem statements.
Further strengthening its AI roadmap, CMR University is set to launch an MCA programme with a specialisation in AI & ML, expanding advanced AI education pathways to graduates from computing and allied disciplines. This addition reflects the University’s commitment to inclusivity and workforce readiness, ensuring AI education remains accessible across multiple academic routes.
Learning Beyond Algorithms
What distinguishes AI education at CMR University is its emphasis on contextual learning. Students engage with machine learning models, deep learning frameworks, data analytics pipelines, intelligent systems, and automation tools grounded in real-world applications. From healthcare and finance to smart systems, sustainability, and governance, AI learning is consistently linked to practical relevance and social impact.
Equally important is the University’s focus on ethics, responsible innovation, and interdisciplinary thinking. Students are encouraged to question, experiment, and explore, developing not only technical competence but also the ability to assess the broader implications of AI-driven solutions.
Recognition that Reflects Preparation
As highlighted by Tech AI Magazine, the evaluation framework recognises institutions that demonstrate curricular relevance, learner preparedness, innovation capacity, and industry alignment. CMR University’s inclusion reflects its ability to translate academic learning into employability, research capability, and entrepreneurial thinking.
The certificate of recognition stands as validation of a journey anchored in quality, adaptability, and purpose-driven education. It also serves as a reminder that leadership in AI is built through sustained academic rigour, institutional clarity, and a commitment to continual evolution.
Looking Ahead
As artificial intelligence continues to shape the future of work, governance, and everyday life, CMR University remains committed to advancing AI education that is both technically rigorous and ethically grounded. This recognition marks an important milestone while setting the stage for deeper research, stronger industry collaboration, and expanded learning opportunities in the years ahead.
Guided by its mission ‘to offer multi, inter and cross-disciplinary modular programmes with technology-enabled teaching-learning processes; to focus on research-led teaching and learning in an innovative and interdisciplinary environment; and to create leaders for a knowledge-based economy anchored in strong ethical values,’ CMR University is not merely participating in the AI future but actively shaping it.