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 many 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 in various formats such as text, audio video etc., to extract information from inherent patterns, design and develop underlying models, and use data for real world applications for prediction, detection and decision.

Data processing and analytics converts raw data of different format into meaningful format which can be analysed and interpreted for a variety of purposes. Data Science focuses on data extraction and processing techniques and machine learning algorithms for inferring and   representation of data for meaningful presentation for easy interpretation and decision making. Data Science focuses on innovative and intelligent ways of handling data in structured and unstructured format which may be available in large volume, and analyzing data for various purposes.

Data science and analytics programme is designed to prepare the students in in interdisciplinary domains for gaining hands-on experience on data analytics, machine learning and data visualization methods as it relates to multiple fields of interest. It is designed to empower the students to employ problem ideation, 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, Machine Learning and data visualization techniques for data-centric computation to address problems of real world.


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

  • Understand foundational principles, key concepts, and ethical considerations in data science for recognizing its significance across various interdisciplinary domains.
  • Perform data acquisition, cleaning, exploration, and statistical analysis for gaining proficiency in Data Science techniques.
  • Apply Machine Learning algorithms to model, develop, and evaluate for solving real-world problems.
  • Analyze data to create impactful visualizations for effective communication after assessing the data for recognising visual representation quality.

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

  • Introduction to Data Science
  • Data Analytics
  • Machine Learning
  • Data Visualization
  • Mini Project
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