Semester | Subjects |
---|---|
Semester 1 | Introduction to Data Science, Mathematics for Data Science, Programming Fundamentals, English Communication, Environmental Studies |
Semester 2 | Statistics for Data Science, Database Management Systems, Python Programming, Organizational Behavior, Financial Accounting |
Semester 3 | Data Structures and Algorithms, Machine Learning Basics, Web Technologies, Business Data Processing, Soft Skills |
Semester 4 | Advanced Database Management Systems, Big Data Analytics, Artificial Intelligence, Ethics in Data Science, Elective I |
Semester 5 | Data Visualization, Cloud Computing for Data Science, Elective II, Elective III, Project Work I |
Semester 6 | Internship/Project Work II, Elective IV, Elective V, Research Methodologies, Seminar |
Semester | Important Topics |
---|---|
Semester 1 | Introduction to Data Science, Programming Fundamentals, Discrete Mathematics |
Semester 2 | Data Structures, Database Management Systems, Probability and Statistics |
Semester 3 | Object-Oriented Programming, Linear Algebra, Data Visualization |
Semester 4 | Machine Learning, Big Data Analytics, Web Technologies |
Semester 5 | Deep Learning, Cloud Computing, Research Methodology and Project Work (Part 1) |
Semester 6 | Advanced Machine Learning, Internet of Things, Project Work (Part 2) |