B.Tech. CSE – Data Science

Programme Overview:

Data Science grew out of the fields of statistical analysis and data mining. It was in the year 2008, Data Science emerged as a title, and as a field, it took off quite quickly. However, as a speciality, Data Science is still young. Ever
since it become a specialised field, there has been a shortage of data scientists. To meet the demands of Data Scientists, Chaitanya is offering B.Tech. CSE – Data Science undergraduate programme.

The new-age programme offers students the fundamental knowledge of all aspects of Statistics and Analytics. The programme primarily focuses on Probability and Statistics, Inferential Statistics, Machine Learning Techniques, Dimension Reduction and Model Validation Techniques, Exploratory Data Analysis, Visualization Techniques and other related Data Science concepts.

Salient features:

  • Curriculum designed as per current industry requirements
  • Programme tailored to produce skilled and ready-to-deploy talent
  • Reputed institute with an excellent campus and infrastructure
  • Best-in-class faculty
  • Tech-enabled programme delivery
  • 100% placement support* (*Terms and conditions apply)

Programme Objectives:

  • To guide the graduates to articulate and solve the problems in the field of Data Science.
  • To ensure students are confident enough to take up interdisciplinary projects.
  • To prepare entrepreneurs and strong workforce for the public and private sector in the related areas.


*Courses are subject to change as per BoS

  • Engineering Mathematics – I
  • Engineering Physics
  • Basic Electronics and Electrical Engineering
  • Workshop Practice Lab
  • English – I
  • Basic Mechanical Engineering
  • Engineering Mathematics – II
  • Engineering Chemistry
  • Programming with C for Problem Solving
  • English – II
  • Engineering Graphics & Design
  • Digital Electronics and Logic Design
  • Discrete Mathematics
  • Computer Fundamentals and Organization
  • Operating Systems
  • Data Structures and Algorithms
  • Object Oriented Programming using Java
  • Foundation Course (Data Science)
  • LSE
  1. Complex Problem Solving
  2. Critical Thinking
  • Database Management Systems
  • Web Technologies
  • Python Programming
  • Beginner Level -CTP (Data Science)
  • LSEC
  1. Communication Skills
  2. Analytical Reasoning
  • Open Elective I
  • Software Engineering
  • Computer Networks
  • Intermediate Level -CTP (Data Science)
  • Machine Learning
  • LSEC
  1. Teamwork Coordinating Collaborating with others
  2. Leadership Readiness
  • WeCODE – I
  • Open Elective II
  • Advanced Machine Learning
  • Big Data Analytics
  • Advanced Level -CTP (Data Science)
  • LSE
  1. Multicultural Competence
  2. Value Inculcation and Empathy
  • WeCODE – II
  • Employability Skills Programme – I
  • Open Elective III
  • Real Time Data Processing
  • NoSQL Databases
  • LSE
  1. Environmental Awareness and Action
  2. Community Engagement in Service
  • WeCODE – III
  • Foreign Language
  • Project Based Internship
  • Employability Skills Programme – II
  • Open Elective IV
  • Time Series Analysis
  • Social Media Analytics
  • Employability Enhancement Programme
  • Simulated Apprenticeship Program
  • Open Elective V

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Enrolled: 5 students
Duration: 4 Years | Full-time