OVERVIEW
The Department of Computing & Analytics is dedicated to developing data-driven, technology-enabled, and innovation-focused professionals capable of solving complex real-world problems using modern computing and analytical techniques.
The department integrates the core principles of computer science, data analytics, statistics, artificial intelligence, and business intelligence to prepare students for the evolving digital economy.
The curriculum offers a balanced blend of theoretical foundations and practical applications, enabling holistic learning. Students gain exposure to data analytics, machine learning, artificial intelligence, cloud computing, big data technologies, programming, and visualization tools. Through hands-on training, research initiatives, industry collaborations, and internships, graduates are equipped to excel in diverse data-centric and computing roles.
PROGRAMMES OFFERED
Where Curiosity Meets Academic Excellence
The Department of Computing & Analytics offers comprehensive, skill-driven programmes designed to prepare students for diverse career paths in engineering, manufacturing, research, and innovation.
OUR FACULTY
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FAQ's
It focuses on data analysis, programming, AI, and technology-driven decision-making.
Industry-aligned curriculum, modern labs, and strong practical exposure.
Data analytics, machine learning, AI, cloud computing, statistics, and programming.
Yes, through labs, mini projects, internships, and capstone projects.
Data Analyst, Data Scientist, Business Analyst, AI Engineer, and Software Developer.
Yes, analytics skills are in demand across finance, healthcare, retail, and manufacturing
Yes, through internships, industry projects, and placement assistance.
Yes, M.Tech, MS, MBA, and PhD options are available.
Apply through a transparent, merit-based admission process with academic counselling.
Python, Java, SQL, R, and other analytics tools.