| Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
|---|---|---|---|---|
| 3 Years | Undergraduate | Varies by region | Full-time | Private |
| Semester | Subjects |
|---|---|
| Semester 1 | Introduction to Data Analytics, Mathematics for Computer Science, Programming Fundamentals, English Communication, Environmental Studies |
| Semester 2 | Database Management Systems, Data Structures, Object-Oriented Programming, Probability and Statistics, Digital Principles and Systems Design |
| Semester 3 | Operating Systems, Web Technologies, Python Programming, Applied Linear Algebra, Data Visualization |
| Semester 4 | Machine Learning, Big Data Analytics, Database and Data Warehouse, Elective I, Minor Project I |
| Semester 5 | Deep Learning, Cloud Computing for Data Analytics, Business Intelligence, Elective II, Minor Project II |
| Semester 6 | Capstone Project, Internship, Elective III, Elective IV |
| Semester | Important Topics |
|---|---|
| Semester 1 | Introduction to Data Analytics, Programming Fundamentals using Python |
| Semester 2 | Database Management Systems, Data Structures |
| Semester 3 | Statistics for Data Science, Machine Learning Essentials |
| Semester 4 | Big Data Analytics, Data Visualization Techniques |
| Semester 5 | Advanced Machine Learning, Cloud Computing for Data Analytics |
| Semester 6 | Capstone Project, Ethical and Legal Aspects of Data Analytics |
