About departments

Computer Science & Engineering:- acts as the nurturing ground for young professionals, who can make their mark in contemporary and emerging computer technologies. Their foundation in Computer Engineering will enable students with sound conceptual knowledge of subject areas as diverse as Software Engineering to Grid and Cloud Computing and have a competitive edge in Information Technology and related technologies. The Department is backed with competent faculty members having good expertise in various fields of computer Science & Engineering. The faculty members of this department are very active researchers with varied experience in different areas of Computer Science & Engineering. The Department follows a well proven pedagogy of sharing knowledge with the young and vibrant minds of the nation.

B.Tech. in Artificial Intelligence is designed with intent to educate the engineering students on cutting-edge technologies. In this course students will learn about Machine Learning, Deep Learning, Neural Network, Mathematical Foundation, and Statistical Method.

This specialization is designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning, analytics and visualization technologies. The main goal of artificial intelligence (AI) and machine learning is to program computers to use example data or experience to solve a given problem. Many successful applications based on machine learning exist already, including systems that analyze past sales data to predict customer behavior (financial management), recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data.

A student completing this program will be able to undertake industry careers involving innovation and problem solving using Artificial Intelligence (AI) and Machine Learning (ML) technologies and research careers in AI, ML, and, in general, Computer Science areas. Along with courses that provide specialization in AI, students will also have option to explore applied domains such as computer vision, natural language processing, robotics, and autonomous systems as well as other interdisciplinary areas such as neuroscience, edge computing, and Internet of Things.

B.Tech in Data Science:- 4 – year undergraduate degree course in engineering. The main objective of the program aims to induce training to the admitted students with respect to the recent existing and new evolving techniques and theories that are related to Data Science. This constitutes the statistics, data mining, data warehousing and data visualization.

This course is oriented towards the Data Science and its related aspects like Internet of things. Data Science helps to organize and harness their data and use it to identify new opportunities. It leads to smarter business moves, more efficient operations, higher profits and more satisfied customers.

Data is the oil for today’s world and Data Science allows using the right tools, technologies, algorithms that we can use data and convert it into a distinctive business advantage. Data Science with analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. The discipline’s applications enable Data Scientists, Predictive Modelers, and other analytics professionals to analyze growing volumes of structured transaction data.

*The Departments imparts world class training and research besides promoting active industry-institute collaboration by identifying areas of interest and taking part in sponsored research projects and consultancy services. An extracurricular calendar of events and competitions give students ample opportunities to work together while gaining real-world experience that prepare them for their future careers. The department has extensive student engagement framework through regular interactions, regular feedbacks, professional chapters and societies.