Modern Computer Labs

Mac Lab

Featuring high-performance Apple iMac systems, this lab provides an elite environment for mastering iOS application development, professional-grade multimedia design, and advanced video editing.

SAP Lab with Agentic AI Integration

Students don’t just learn traditional enterprise systems here. They explore the future of intelligent business technology.

Through the SAP University Alliance Program, students gain hands on access to SAP’s enterprise platforms, including emerging capabilities powered by Agentic AI. This means they don’t only study how businesses operate. They learn how AI driven systems can independently analyze data, suggest actions, automate workflows, and support smarter decision making.

In the SAP Lab, students work on simulations that reflect real world business scenarios. With Agentic AI tools, they experience how modern enterprises are using intelligent automation in finance, supply chain, analytics, and operations.

This exposure prepares students for a new era of business leadership where understanding AI powered enterprise systems is no longer optional. It is essential.

SAS Lab

SAS continues to advance our technologies and bring trusted analytics to companies that impact our everyday lives - so that customers can count on us when it matters most. The SAS Lab equipped with latest configuration of labs.

AI / ML Lab

Technologies like artificial intelligence (AI) and machine learning (ML) are starting to show promise as remedies that can enhance internal process automation and customer experience in banks and other financial organisations. The AI & ML Lab was established to conduct applied research in the developing fields of artificial intelligence and machine learning technologies, with a particular focus on the banking and financial domain. This was done in light of the increasing success rate of research and development of AI and ML based tools and technologies.

Deep Learning Lab

The goal of the Deep Learning Lab is to teach students about machine learning and pattern recognition through the hands-on use of related techniques. Students gain knowledge of how to apply and set up algorithms for classification, including support vector machines, neural networks, and linear discriminant functions. The experiments also include contemporary ideas and methods, including deep learning. Only open-source software and free datasets will be utilised to inspire further self-study.

Powered by Microsoft Lab

Fully equipped ultra modest computer lab provide exposure to latest software as well as development of advanced projects with the help of Microsoft softwares.

Powered by NVIDIA Lab

High end computer system powered by nvidia GPUs with latest software and subscription of virtual machine is available at university lab.

Last updated: 28 Mar, 2026

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