By Ritika
Generative AI is changing what engineering faculties buy. Universities now want connected learning environments, where cloud platforms, simulation and physical laboratories work together, and suppliers who stay involved long after delivery
Dubai, Sept 28, 2026: GPU clusters, cloud laboratories, digital twins and intelligent coding assistants now sit alongside robotics kits and workshop machinery on engineering faculty shopping lists. The laboratory rather than being replaced is being connected. For universities, the shift raises harder questions about how long an investment stays relevant, what it truly costs to own and whether it will be used at all. For suppliers, it has changed what winning a contract means.
From tools to ecosystems
Generative artificial intelligence (AI) has moved university spending away from single-task software towards integrated platforms. “A few years ago, universities were mainly investing in software that helped students complete specific engineering tasks. Today, we’re looking for integrated digital platforms that encourage students to think differently, explore ideas more creatively and solve increasingly complex problems,” says Dr Seyed Ghaffar, Head of Engineering and Programme Director, University of Birmingham Dubai.
Symbiosis International University Dubai offers a BTech in Computer Engineering and BCA specialisations in AI and machine learning, and in data science and data analytics. It has taken an AI-first approach, with investments spanning cloud-based AI platforms, GPU-enabled computing, intelligent coding assistants, virtual laboratories and AI-powered assessment tools. “These technologies provide students with hands-on experience in machine learning, large language models (LLMs), data analytics and intelligent systems, while also empowering faculty with advanced tools for research, content creation and personalised learning,” says Dr Ganesan Subramanian, Head of Computer Studies & Engineering, Symbiosis International University Dubai.
