The B.Sc. Data Science is a four-year (eight-semester) Honours programme designed to build strong analytical, computational, and problem-solving abilities for the data-driven world. The curriculum integrates mathematics, statistics, computer science, and machine learning to enable students to collect, process, analyse, and interpret complex data for informed decision-making. Students gain practical experience in data visualization, predictive modelling, big data analytics, and artificial intelligence applications through hands-on labs, projects, and internships. Academic alliances with industry leaders in this field enable students to gain exposure to real-world data intelligence, automation, and process optimization tools, enhancing their technical proficiency and industry readiness.
Eligibility
Candidates who have completed Higher Secondary (10+2 / PUC) or Equivalent, in Science and should have studied Mathematics as a subject with an aggregate of 40% or an equivalent CGPA are eligible.
Semester |
Course Title |
Course Type |
Credits |
I |
C Programming |
DSC |
4 |
I |
C Programming Practical |
DSC |
2 |
I |
Database Management System |
DSC |
4 |
I |
Database Management System Practical |
DSC |
2 |
I |
Mathematical Foundation for Data Science |
DSC |
4 |
II |
Data Structures |
DSC |
4 |
II |
Data Structures Practical |
DSC |
2 |
II |
Basic Statistical Analysis using R |
DSC |
4 |
II |
Basic Statistical Analysis using R Practical |
DSC |
2 |
II |
Operating System and Networks |
DSC |
4 |
III |
Java Programming |
DSC |
4 |
III |
Java Programming Practical |
DSC |
2 |
III |
Modern Databases and its Application |
DSC |
4 |
III |
Modern Databases and its Application Practical |
DSC |
2 |
III |
Linear algebra |
DSC |
4 |
III |
NPTEL |
SEC |
2 |
IV |
Probability and Inferential Statistics |
DSC |
4 |
IV |
Probability and Inferential Statistics Practical |
DSC |
2 |
IV |
Data warehousing and Datamining |
DSC |
4 |
IV |
Data warehousing and Datamining Practical |
DSC |
2 |
IV |
Artificial Intelligence for Data Science |
DSC |
4 |
IV |
Online Certificate Course |
SEC |
2 |
V |
Machine Learning |
DSC |
4 |
V |
Machine Learning Practical |
DSC |
2 |
V |
Python Programming |
DSC |
4 |
V |
Python Programming Practical |
DSC |
2 |
V |
Research Methodology |
DSC |
4 |
V |
Statistical Analysis Using SPSS |
DSE |
4 |
VI |
Exploratory Analysis |
DSC |
4 |
VI |
Exploratory Analysis Practical |
DSC |
2 |
VI |
Data Visualization |
DSC |
4 |
VI |
Data Visualization Practical |
DSC |
2 |
VI |
Software Engineering |
DSC |
4 |
VI |
Big Data Analytics |
DSE |
4 |
VI |
Project |
DSE |
4 |