CSE - Data Science

B. Tech – CSE - Data Science is 4 years, 8 semesters undergraduate program
in which students learn how to solve problems using computers.

About the Program

The Bachelor of Technology (B.Tech) in Computer Science & Engineering with a specialization in Data Science aims to prepare students for careers as data scientists, data analysts, and data engineers across diverse sectors such as finance, business, health care, and more. The program emphasizes a multi-disciplinary approach, where they will learn about data collection, processing, modeling, and visualisation while acquiring essential technical skills in database management, machine learning, big data analytics, deep learning, and natural language processing. They will also develop critical thinking, communication, collaboration, and creativity skills from day one.

Qualified faculty members with expertise in data science, artificial intelligence, cybersecurity, and other related fields guide students through their studies. The institutions offer internships and placements to help students transition smoothly into the professional world upon graduation

Head of Department

Name: Dr.JHUM SWAIN
Designation: Professor & HOD
Years of Experience: 3.2
Email Id: jhumswain@svit.ac.in
JNTUH Unique Id: 4792-210706-110724
UG Degree: B.Sc (Computer science (H))
PG Degree: MCA & M.Tech
Ph.D: Yes
No. of Papers published: 10
No. of Journals published: 10
No. of Books published: 01

Syllabus Overview

  • Mathematics and Statistics: Linear algebra, calculus, probability theory, statistical inference, and data visualisation.
  • Programming and Data Analysis: Python, R, SQL, data cleaning and preprocessing, data wrangling and manipulation, exploratory data analysis (EDA), and data visualisation.
  • Machine Learning and Artificial Intelligence: supervised learning (e.g., regression, classification), unsupervised learning (e.g., clustering, dimensionality reduction), reinforcement learning, deep learning, natural language processing (NLP), and computer vision.
  • Big Data Technologies: Distributed Computing, Cloud Computing, Hadoop, Spark, and NoSQL Databases
  • Domain-Specific Applications: Industry-specific applications of data science such as healthcare analytics, financial analytics, social media analytics, and marketing analytics.
  • Soft Skills: Include communication skills, collaboration, project management, and ethical considerations related to data science.
  • https://drive.google.com/file/d/1eD1IznCRyIJ2bLjRBGQL3_Pjd-eBZdVa/view?usp=drivesdk ( for detailed syllabus)

Job Scope

According to an IBM report, Data Science jobs would likely grow by 30 percent. The estimated figure for job listing is 2,720,000 for Data Science in 2020. Also, according to the US Bureau of Labor Statistics, about 11 million jobs will be created by 2026.

Enormous Data Analytics assists associations with tackling their information and uses it to distinguish new chances. Successful graduates will be employed for Design Engineering, Computing/IT Consulting and Solution-Developing, System/Network Administrators or IT Managers. The normal Data Science pay scale is about ₹708,012. A fresher in Data Science gets paid about ₹500,000 per annum even with less than one year of experience.

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