Computer Science and Engineering (Data Science)

"Transforming data into value"As the world entered the era of big data, Data science is high in demand domain and explains how digital data is transforming businesses and helping them make sharper and critical decisions. Effective data scientists are able to identify relevant questions, collect data from a multitude of different data sources, organize the information, translate results into solutions, and communicate their findings in a way that positively affects business decisions.

This B.Tech program in Computer Science and Engineering (Data Science) is specifically designed and offered by the department of Computer Science and Engineering in response to the rapidly developing field of Data Science from the academic year 2021-2022 with an intake of 180.

Data Science is an emerging area of Computer Science and Engineering (CSE). The B.Tech Program in CSE has been accredited by National Board of Accreditation (NBA) successively four times i.e. in 2008, 2011, 2016, and 2019 and the M.Tech program in CSE got accredited by National Board of Accreditation (NBA) in the year 2019 (Valid till 30 June, 2022).

Data Science is an interdisciplinary field of Computer Science, which continuously evolve as one of the most promising and in-demand career paths for skilled professionals. Today, successful data professionals should master the full spectrum of the data science life cycle and programming skills.

The main objective of the department is :

1. Career Focused Learning
2. Enhance Knowledge
3. Employment

The students are encouraged to participate in Hackathons / Projects / Internships to improve their practical knowledge. The department also organizes regularly co-curricular and extra-curricular activities for the all-round development of students such as seminars, workshops, group discussions, etc. The department imparts specialized training to students to pursue their career in core and other IT related streams through various skill development activities.

Skills gained includes, creating algorithms and models to extract, process, visualize and find hidden patterns from the raw information. Data Extraction and Transformation, Statistical Analysis, Data Manipulation, visualization, Machine Learning, and predictive Modeling.These skills are required in almost all industries, causing skilled data scientists to be increasingly valuable to companies.