Data Science

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Departments

Faculty

STTP/FDP/Workshops Conducted

Faculty Participation in STTP/FDP

Timetable

Projects

Student Achievement

The Department of Data Science is established in the year 2020. This B.Tech program in Data Science is specifically designed and offered in response to the rapidly developing field of Data Science. This program has been started with an intake of 60 in the year 2020.

Data science is a relatively new emerging and an interdisciplinary field of Computer Engineering. It concerned with the collection, preparation, analysis, visualization, management and preservation of large collections of information aiming at generating value from the data itself. Today, successful data professionals should master the full spectrum of the data science life cycle and programming skills.

Vision

The vision is to ensure the students have strong fundamentals in theory, hands-on practice in various data science related tools and technologies, With the advent of Data Science, Students are transformed to industry ready professionals by building smart machines with cutting edge technologies.

Mission

The program encompasses emerging areas in the field of Data Science, Data Engineering and Advanced Analytics through application-oriented and student-centric learning.
The program fosters students to get expertise in critical skills such as Artificial Intelligence, Machine learning, Product development, scripting languages and Mathematical modeling.
Acquire meaningful insights in the areas of natural language processing, text mining, reasoning and problem solving.
Create and design intelligent solutions to real time Business applications.

Programmes Offered

B. Tech in Data Science

Programme Objectives

To encompasses emerging areas in the field of Data Science, Data Engineering and Advanced Analytics in the curriculum through application-oriented pedagogy and student-centric approaches.
To fosters students to gain expertise in critical skills. To encourage, motivate and prepare the Learners for Lifelong learning.
To acquire meaningful insights in the areas of natural language processing, text mining, reasoning and problem-solving.
To create and design intelligent solutions for real-time business applications.