BSc Data Science
Data Science is an interdisciplinary field that blends the magic of programming, mathematics, and business to create something new. When used in conjunction with Machine Learning, it aids in the identification of a future trend that may be used to generate actionable insights for future impact. These abilities will assist you in becoming a Data Scientist. As a Data Science aspirant, you'll be emphasising the need of sharing knowledge ranging from quantitative analysis to programming concepts, as well as business intelligence. Any firm that can effectively use data can benefit from data science.
This programme gives learners a thorough foundation in the statistical foundations of data science, as well as the computational skills and algorithmic thinking required for current data analysis. Through guest lectures, seminars, projects, internships, and other opportunities, the learners will be exposed to research models and industry standard applications in data science.
PROGRAMME MATRIX
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| Course Code |
Course Title |
| |
Mathematical Foundation for Data Science |
| |
Computing and Programming Fundamentals |
| |
Programming in C |
| |
Programming in C Practical |
| Open Elective
|
| |
English I |
| |
Functional Kannada |
| |
Kannada Bhasha Patrike I |
| |
Office Automation |
| |
Yoga |
| |
Health and Wellness |
| Course Code |
Course Title |
| |
Basic Statistical Analysis using R |
| |
Operating System and Networks |
| |
Data Structures |
| Open Elective
|
| |
English II |
| |
Kannada Bhasha Patrike II |
| |
Hindi Kahani Sahitya aur Prayojan Mulak Hindi |
| |
Additional English I |
| |
Environmental Studies |
| |
Sports |
| |
NSS/NCC/Red Cross/Cultural |
| Course Code |
Course Title |
| |
Linear Algebra |
| |
OOPs with Java |
| |
OOPs with Java Practical |
| |
Data Warehousing and Datamining |
| Course Code |
Course Title |
| |
Probability and inferential statistics |
| |
Probability and inferential statistics Practical |
| |
Foundation of Data Science |
| |
RDBMS |
| |
RDBMS Practical |
| Course Code |
Course Title |
| |
Big Data Analytics |
| |
Big Data Analytics Practical (Hadoop) |
| |
Python Programming |
| |
Machine Learning |
| |
Machine Learning Tool Practical |
| |
Modern Databases |
| |
Data Analysis Tools Practical |
| Course Code |
Course Title |
| |
Data Visualization |
| |
Data Visualization Practical |
| |
Cloud Computing |
| |
Cloud Computing Practical |
| |
Project |
| |
Artificial Neural Networks |
| |
Digital Analytics |
