| Semester | Subjects |
|---|---|
| 1st Semester | Introduction to Data Science, Mathematics for Data Science, Programming Fundamentals, English Communication, Environmental Studies |
| 2nd Semester | Statistics for Data Science, Database Management Systems, Python Programming, Organizational Behavior, Elective I |
| 3rd Semester | Data Analysis and Visualization, Machine Learning Basics, Web Technologies, Professional Ethics, Elective II |
| 4th Semester | Advanced Machine Learning, Big Data Analytics, Cloud Computing, Project Work I, Elective III |
| 5th Semester | Deep Learning, Data Science Project Management, IoT Basics, Project Work II, Elective IV |
| 6th Semester | Capstone Project, Industry Internship, Elective V, Elective VI |
| Semester | Important Topics |
|---|---|
| Semester 1 | Introduction to Data Science, Programming in Python, Mathematics for Data Science, Basic Statistics |
| Semester 2 | Advanced Python, Database Management Systems, Data Structures and Algorithms, Probability and Statistics |
| Semester 3 | Machine Learning Foundations, Data Preprocessing and Visualization, Linear Algebra, Operating Systems |
| Semester 4 | Advanced Machine Learning, Big Data Analytics, Database and Big Data Tools (like Hadoop), Research Methodology |
| Semester 5 | Deep Learning, Natural Language Processing, Cloud Computing for Data Science, Elective (Industry-specific applications of Data Science) |
| Semester 6 | Capstone Project, Internship, Advanced Topics in Data Science (like AI Ethics, IoT for Data Science), Elective (Advanced tools and technologies in Data Science) |
