Programme overview

The full-time B.Sc. Data Science programme lasts three years. The course covers the study of computer science, business analytics, and artificial intelligence. Machine learning, statistics, big data analytics, and other related techniques are used in data science to grasp the observable fact in relation to a set of real-world data. Due to the program's rising demand and broad future potential in the energy sector, technology companies, market research firms, and consultancies, it is very popular among students. Students who pursue a degree in data science are exposed to a wide range of topics including data mining, big data analytics, applied statistics, predictive modelling, data visualisation, and machine learning in a variety of fields including business, supply chain, and human resources, among others. The curriculum creates knowledgeable individuals with practical expertise in a range of business industries.

  • 4 Years

    Duration of Program

  • UG

    Level of Study

Key Highlights

Versatile education by earning bachelor's degree in data science
NEP aligned course
Strong Foundation in Computer and Statistics
Experience Faculty
Lucrative Career

How will you benefit

Data science is an interdisciplinary field that employs scientific methods, procedures, algorithms
AI and machine learning jobs are some of the highest-paid roles in the tech world
Student attain an in-depth understanding of the latest technologies and their implementations
Ability to know how to apply the knowledge they have gained to solve real problems

What will you study

Advance Computer Languages

Multimedia and graphics


Hardware Basic Knowledge

  • Knowledge:   Apply the knowledge of mathematics, Computer science, statistics to the various solutions of complex problems
  • Problem Analyses: Identify, formulate, review research literature, and analyze complex problems reaching substantiated conclusions using first principles of mathematics and computer science.
  • Design/development of solutions: Design solutions for complex problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  • Modern tool usage: Create, select, and apply appropriate techniques, resources, and IT tools including prediction and modelling to complex activities with an understanding of the limitations
  • Environment and sustainability: Understand the impact of the professional solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.


  • Introduction to Data Science & Machine Learning
  • Applied Probability & Statistics
  • Domestic Data Entry Operator
  • Entrepreneurship Skills


Statistical Analyst
Data Architect
Data Mining Engineer
Database Administrator


10+2 (PCM and PCB)

GEN.-45% ST,SC,OBC-40% minimum 40 % marks

Apply Now Enquiry Now WhatApp Now