B. Tech- CSE (Spl.) Data Science

A Bachelor of Technology (B. Tech) in Computer Science and Engineering (CSE) with a specialization in Data Science is a specialized undergraduate program designed to provide students with comprehensive knowledge and skills in collecting, analyzing, interpreting, and visualizing large volumes of data to extract valuable insights and inform decision-making processes. This program typically spans over four years and focuses on combining core principles of computer science with specialized courses in data analysis, statistics, machine learning, data mining, and data visualization.

The curriculum of B. Tech CSE (Data Science) program covers a wide range of subjects, including computer programming, data structures, algorithms, databases, operating systems, and software engineering. Additionally, students delve into specialized courses in data science, where they learn about data collection methods, data preprocessing techniques, exploratory data analysis, predictive modeling, and data-driven decision-making.

Moreover, the program emphasizes practical application and hands-on experience through laboratory sessions, projects, internships, and industry collaborations. Students have the opportunity to work on real-world data science projects, analyze large datasets using advanced statistical and machine learning techniques, and gain practical experience with data science tools and technologies used in the industry.

Furthermore, the B. Tech CSE (Data Science) program aims to develop critical thinking, problem-solving, and analytical skills among students, preparing them for careers in data analysis, data science research, and data-driven decision-making. Graduates of the program are well-equipped to pursue diverse career opportunities in various sectors, including technology companies, finance, healthcare, e-commerce, and marketing.

Overall, the B. Tech CSE (Data Science) program provides students with the knowledge, skills, and expertise needed to excel in the field of data science, where their contributions are essential for extracting actionable insights from data, driving innovation, and enabling data-driven decision-making in organizations. It empowers students to become leaders, innovators, and problem-solvers in the rapidly growing and evolving field of data science.