Honours in Data Science & Analytics

Computer Engineering | B.Tech (Comp)

In today’s data-driven society, Data Science provides a foundation for problem solving that impacts virtually all areas of the economy, including science, engineering, medicine, banking, finance, sports and the arts. Data science is an interdisciplinary field that focuses on analysing large amounts of data to identify inherent patterns, extract underlying models, and make relevant predictions. Data processing and analytics converts raw data into format which can be analysed and interpreted for a variety of purposes.

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It focuses on data processing techniques and algorithms for representation of data in a meaningful way for human intelligence. The focus is also on innovative and intelligent ways of handling data which may be unstructured, high in volume, of different variety and analyzing data for various purposes. The data science and analytics programme is designed to prepare students in wide disciplines who want to gain practical know-how of data analytics methods as it relates to their field of interest. It is designed to empower them to employ computational thinking and data science tools to solve practical business problems. The coursework consists of courses that cover the spectrum of Data Science to equip the students with knowledge of data analysis techniques and data-centric computation to address problems that require large data.

Objectives

The offered programme aims to give the understanding of:

  • Applications of principles of Data Science to the analysis of diverse problems.
  • Use software tools and algorithms from statistics, applied mathematics, Computer Science to model and analyze real-world data, communicate findings, and effectively present results using data visualization techniques.
  • Deployment of latest tools and technologies to analyze large amounts Data.
  • Understand the ethical practices that are importantly and inevitably tied to data-driven decision-making.

Learning Outcomes of the Honours’ Degree Programme:

At the successful completion of this programme an engineering graduates 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 visualization.
  • Discuss ethical practices related to data-driven decision-making.
  • Implement solutions to data analysis problems using latest tools and technologies.

Eligibility Criteria

Students who have passed First Year of Engineering in Computer Engineering successfully.

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
  • Applied Data Science
  • Data Analytics
  • Advanced Data Mining
  • Advanced Machine Learning
  • Applied Project/ Internship