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Computer Lab

Reflects the depth and scale of Computer Science. Much more emphasis is laid on the practical understanding of the technology. The students are trained in critical areas like programming, networking, web systems, information management and human-computer interaction.


The classroom is designed with an IT environment and has every facility for research and study. All students have access to computing facilities that allow them to achieve their tasks with ease.

Industry connection

The department enjoys good relations with some of the top IT companies like CTS, WIPRO and INFOSYS. Seminars, symposiums and workshops are conducted to keep students updated with new technologies adopted in different industries. The department also ensures that students are prepared for their career with soft-skills training, which is as important in todays job environment as hard-skills.

The placement process provides students with every opportunity to enter top ranking companies. The faculty are also at hand to guide students in the path of their future.

IoT (Internet of Things)

The Internet of Things (IoT) is the network of physical objects, devices, vehicles, buildings and other items, embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data.

IoT extends computing and Internet connectivity from the most used devices like desktop and portable computers, smartphones and tablets to various variants of devices and everyday things. The data captured on these devices through sensors reveals interesting patterns with latent business values.


Oracle is one of the largest vendors in the enterprise IT market and the shorthand name of its flagship product, a relational database management system (RDBMS) that's formally called Oracle Database. The database software sits at the center of many corporate IT environments, supporting a mix of transaction processing, business intelligence and analytics applications.

Like other RDBMS software, Oracle Database is built on top of SQL, a standardized programming language that database administrators, data analysts and other IT professionals use to manage databases and query the data stored in them. The Oracle software is tied to PL/SQL, an implementation developed by Oracle that adds a set of proprietary programming extensions to standard SQL -- a common practice among RDBMS vendors. Oracle Database also supports programming in Java, and programs written in PL/SQL or Java can be called from the other language.

Big Data

Big data is data sets that are so voluminous and complex that traditional data-processing application software are inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source.

The importance of big data doesn't revolve around how much data you have, but what you do with it. You can take data from any source and analyze it to find answers that enable 1) cost reductions, 2) time reductions, 3) new product development and optimized offerings, and 4) smart decision making. When you combine big data with high-powered analytics, you can accomplish business-related tasks such as:

    Determining root causes of failures, issues and defects in near-real time.
    Generating coupons at the point of sale based on the customer's buying habits.
    Recalculating entire risk portfolios in minutes.
    Detecting fraudulent behavior before it affects your organization.


Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

Due to the advent of new technologies, devices, and communication means like social networking sites, the amount of data produced by mankind is growing rapidly every year. The amount of data produced by us from the beginning of time till 2003 was 5 billion gigabytes. If you pile up the data in the form of disks it may fill an entire football field. The same amount was created in every two days in 2011, and in every ten minutes in 2013. This rate is still growing enormously. Though all this information produced is meaningful and can be useful when processed, it is being neglected.

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