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Handbook - CSE (Data Science)

Handbook
CSE (Data Science)
Academic Year 2025 / 2026

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.

Data Science is an emerging area of Computer Science and Engineering (CSE). The 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 year 2020 with an intake of 60.

B.Tech in Computer Science and Engineering (CSE) was accredited by the National Board of Accreditation (NBA) successively five times i.e. in 2008, 2013, 2016, 2019 and 2022 and M.Tech program in Computer Science and Engineering in the year 2019. The period of validity for B.Tech program in CSE in Tier - I is till 30 June, 2025 and M.Tech programs in CSE was till 30 June, 2022 (Submitted SAR for further accreditation status).

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 principal purpose of Data Science is to find patterns within data. It uses various statistical techniques to analyze and draw insights from the data. From data extraction, wrangling and pre-processing, a Data Scientist must scrutinize the data thoroughly. A Data Scientist is responsible for collecting, storing and maintaining the structured and unstructured form of data.

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.

The department has well-equipped specialized laboratory facilities like Data Science, Programming with Objects, Database Management Systems, Web Application Development, Object Oriented Analysis and Design, Data Wrangling and Visualization, Foundations of Machine Learning, Natural Language Processing, Virtual Reality and Big Data and Analytics etc. The infrastructure and lab facilities are upgraded from time to time and provide good practical learning and innovative environment for the students and researchers.

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.

CAREER PROSPECTIVE FOR DATA SCIENCE STUDENTS

  • Data Analyst
  • Data Specialist
  • Data Scientist
  • Data Engineer
  • Data Architect
  • Data Consultant

 

 

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