BSc Data Science Syllabus in Private and Government Colleges

• Updated on  Jul 09, 2025, by Vasudha Sharma

The BSc Data Science is a three-year undergraduate degree that prepares students to have a combination of undergraduate and advanced data science skills. The course combines foundational courses such as mathematics, statistics, and computer science with more specialized courses like machine learning, data analysis, programming, and data visualization.

 

The BSc Data Science syllabus includes the basics of programming languages such as Python or C, as well as linear algebra, probability, statistics, and the fundamentals of data science. Later on, the BSc Data Science syllabus includes data structures, algorithms, database management, machine learning, big data analytics, and natural language processing.

 

The program lays a focuses on practical experience by attending lab sessions, projects, and internships, and assisting students to work with high-volume data, produce predictive models, and apply analytical tools to real-life situations. The use of elective courses, including more advanced subjects and capstone projects in the fourth year, also contributes to the added knowledge of the students, making them ready to work in an industry.

 

Table of Contents

  1. BSc Data Science Syllabus (Semester-wise)
  2. BSc Data Science Syllabus in a Private College
  3. BSc Data Science Exam Pattern
  4. BSc Data Science Syllabus FAQs

 

BSc Data Science Syllabus (Semester-wise)

The BSc Data Science syllabus is structured in such a way that it will introduce the student to mathematics, statistics, and computer science themes within the first year and gradually build on them, and prepare them to learn some of the fundamental and advanced techniques in data science. The BSc in Data Science syllabus at IIT Madras is given below.

Semester I

Semester II

Linear Algebra

Probability and Interface Statistics

Basic Statistics

Data Structure and Program Design in C

Python Programming

Computer Organization

Communication Skills

Advanced Python Programming

Fundamentals of Data Science

Image Analytics

Introduction to Geospatial Technology

Discrete Mathematics

Semester III

Semester IV

Programming in C

Data Warehousing

Microsoft Excel Lab

Big Data Analytics

Natural Language Processing

Data Visualisations

Geometrics

Programming in Python Lab

Programming in R Lab

Introduction to AI

Research Publication

Semester V

Semester VI

Machine Learning Practice

Operating Systems & Computer Architecture

Business Analytics

Software Testing & Software Engineering

Tools in Data Science

AI: Search Methods for Problem Solving & Deep Learning

Skill Enhancement 1

Skill Enhancement 2

If you want to get technical knowledge about data science, check the BTech Data Science

 

BSc Data Science Syllabus in a Private College

The BSc Data Science syllabus in the private college is designed to give the student all the knowledge needed in mathematics, statistics, and computer science, and familiarize them with the specific data science tools and methods. The BSc in Data Science syllabus at Christ University is given below.

Semester I

Semester II

Principles of Data Science and Digital Computer Fundamentals

Data Structures using Python

Descriptive Statistics and Probability

Introduction to Operating Systems

Python Programming

Data Structure Using Python Lab

English

Introduction to Operating System Lab

Foundation of Mathematics

Introduction to Differential Calculus

Holistic Education

English

EVS

Holistic Education

ID & MDC

Understanding India

Principles of Programming

ID & MDC

Semester III

Semester IV

Artificial Intelligence

Database Technologies

Object-Oriented Programming Using Java (Theory & Practice)

Statistical Inference

Random variables and probability distributions

Database Technologies Lab

Artificial Intelligence Lab

Statistical Inference Lab

Object-Oriented Programming Using Java Lab

Project

Linear Algebra for Data Science

Introduction to Differential Equations

Modern Indian Language

Web Technology

Holistic Education

Modern Indian Language

ID & MDC

Holistic Education

Summer Internship

-

Semester V

Semester VI

Machine Learning Techniques

Artificial Neural Network and Deep Learning

Business Intelligence with Tableau/Power BI

UI/UX Designing (Theory & Practical)

Data Communications and Computer Networks

Artificial Neural Network and Deep Learning Lab

Applied Regression

UI/UX Designing Lab

Machine Learning Techniques Lab

Major Project

Tableau/Power BI Lab

Cloud Computing and Analytics

Optimization Techniques

Blockchain Technologies

-

Data Analytics and Visualization

-

Applications of Graph Theory

Semester VII

Semester VIII

Research Methodology

Quantum Machine Learning

Big Data

Cybersecurity for Data Science

Internet of Things

Full Stack Development

Spatial Data Analytics

NOSQL

Project

Project

 

BSc Data Science Exam Pattern

The examination structure of the BSc Data Science at IIT Madras is divided into a mixture of internal and external exams. Internal exams are conducted through weekly online tests and three face-to-face quizzes, with a weightage of 50 percent. The external exam includes the end-term practical with a weightage of 50 percent.

Assessment Component

Weightage

Weekly Assignments

Part of 50% (combined with quizzes)

Monthly In-Person Quizzes

Part of 50% (combined with assignments)

End-Term In-Person Exam

50%

Total Internal Assessment

50%

Total External Assessment

50%

 

BSc Data Science Syllabus FAQs

What are the practical skills that the candidates will be able to learn in the course?

The lab sessions, internships, and projects facilitate the acquisition of skills by students on the job in the areas of programming, data analysis, visualization, and database management. They undergo training on how to work with actual datasets, construct predictive models, practice industry-standard tools, and present their findings so they will be ready to handle real-life tasks in the employment sector.

In which industries can BSc Data Science graduates opt to work in?

The industries where the candidates can work are finance, healthcare, marketing, technology, government, and e-commerce. The job opportunities are vast, and any industry that uses data-driven decision-making will need a graduate data scientist.

What is the difference between data science and computer science?

Although computer science includes a wide scope of software development, algorithms, and systems, data science is specific and deals with the extraction of information about data through the use of statistical and computational approaches. Data science is more practical, where she works with and transforms real-life data and interprets it.

What soft skills can the candidates learn in the BSc Data Science course?

The candidates can acquire useful soft skills such as communication, teamwork, analytical, and project management skills. These are developed using group projects, presentations, and team assignments so that the graduates are able to operate within a multidisciplinary team and able to present complex data findings to non-technical audiences.

What is the salary for the BSc Data Science graduates?

In India, the salary of the BSc freshers in Data Science depends on the experience, proficiency, place, and nature of the profession they acquire. The salary that freshers will earn ranges between INR 3.8 lakhs and six lakhs per annum. Professionals would earn very well as they acquire experience. An Indian data scientist is expected to earn about INR 10-11.5 lakhs per annum, and the mid-salaries have been in the range of INR 10 lakhs to 22.3 lakhs gross salary per year.

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