<<

SVU

B.Tech in Data Science

B.Tech in Data Science

Admission Open






Leave this empty:


It is for the information of all concerned associated with the Swami Vivekananda University that henceforth no payment in cash by the students is allowed for financial transaction (viz. Admission fees, Semester fees etc..).
Furthermore, electronically generated money receipt through ERP/ Tally are only admissible in case of such payments.
Any change in the above will be informed in due course.

B.Tech in Data Science

B.Tech in Data Science

The b tech data science course, offered by one of the best b tech in data science colleges, Swami Vivekananda University, is designed to nurture analytical thinking and empower students with the ability to harness the power of data. Data science, a multidisciplinary field, aims to extract valuable insights from vast amounts of structured and unstructured data, paving the way for informed decision-making and data-driven innovation. The data science course in engineering curriculum comprehensively covers subjects like statistics, machine learning, data visualization, big data analytics, and predictive modeling. Students of Swami Vivekananda University will gain hands-on experience using various data analysis tools and programming languages, enabling them to explore and interpret complex data sets effectively, which is one of the reasons why it is one of the best colleges for btech in data science.

 

Programme Overview

The data science in btech program fosters creativity, critical thinking, and problem-solving skills, which are essential for addressing real-world challenges across industries.

  • Develop a solid foundation in mathematics, statistics, and programming, providing a strong basis for advanced data science concepts.
  • Acquire knowledge in machine learning, statistical analysis, data visualization, big data analytics, and natural language processing.
  • Master languages like Python, R, and SQL, commonly used for data analysis and manipulation, enhancing proficiency in handling large-scale datasets.
  • Gain hands-on experience using industry-standard tools like Tableau, TensorFlow, Apache Hadoop, and Apache Spark to extract insights from complex data.
  • Apply data science methodologies to solve real-world problems, utilizing case studies and projects that reflect different domains like finance, healthcare, and marketing.
  • Understand the importance of ethical handling of data and develop a sense of responsibility while working with sensitive information.

Course Eligibility

  • Student must have completed 10+2 with a minimum of 50% from a recognized board.
  • Physics, Chemistry, and Math must have been the main subjects during 10+2.

Syllabus :

Syllabus of B.Tech in Data Science

Career Opportunities :

  • Big Data Architect
  • Big Data Project Manager
  • Big Data Specialist
  • Big Data engineer