Honours in Data Science for Emerging Analytics | Honours in Data Science for Emerging Analytics

Honours in Data Science for Emerging Analytics

Electronics and Telecommunication Engineering | B.Tech. (EXTC)

Data Science is a field that deals with extracting meaningful information and insights by applying various algorithms, preprocessing and scientific methods on structured and unstructured data. In current data-centric society, the field of Data Science stands as a fundamental pillar, offering a robust framework for addressing challenges across a multitude of sectors including Science, Engineering, Medicine, Marketing, Finance, and beyond. Data Analytics is used to get conclusions by processing the raw data. It is helpful in various businesses as it helps the company to make decisions based on the conclusions drawn from the data.

Data Visualization helps to learn patterns in data to learn data characteristics as well as to present the result of data analysis in an effective way. With the development of advanced computing technologies Deep learning models, Large Language Models collaborate with emerging Data Analytics to provide valuable insights and enhance Business Intelligence.

The “Data Science for Emerging Analytics” program is meticulously crafted to equip students with a comprehensive skill set tailored to meet the demands of today's data-driven landscape. Through a combination of theoretical coursework and hands-on practical experience, students are immersed in the intricacies of Business oriented Data analytics, Large Language Models, Deep Learning, and Data Visualisation techniques. This holistic approach fosters the development of critical problem-solving skills and computational acumen, empowering students to address real-world challenges with confidence and ingenuity.

Learning Outcomes

At the successful completion of this programme, an Engineering Graduate will be able to:

  • Apply principles of Data Science for analytics to diverse problems.
  • Demonstrate the use of various tools in the domain of Data Science for data visualisation.
  • Discuss ethical practices related to data-driven decision-making.
  • Implement solutions to data analysis problems using the latest tools and technologies.

Eligibility Criteria

Students who have passed First Year of Electronics & Telecommunication Engineering, Computer & Communication Engineering

Assessment Method

Evaluation is done by a variety of tools including Open book tests, MCQs (multiple choice questions), Study of research papers, Internal Assessment tools and End Semester Examinations etc. Mini-Projects are offered in courses also to encourage project based learning among students.

List of Courses

  • Data Visualization
  • Data Visualization Laboratory
  • Deep Learning
  • Deep Learning Laboratory
  • Large Language Models
  • Large Language Models Laboratory
  • Domain Specific Data Analytics
  • Project

Objectives

  • The fundamental goal of data analytics is to extract meaningful insights and valuable knowledge from vast and intricate datasets. These insights serve several purposes:
  • Informed Decision-Making
  • Predictive Modelling
  • Competitive Advantage
  • Performance Improvement
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