| Course Duration | Course Level | Course Fee | Mode of Study | Institute Type |
|---|---|---|---|---|
| 3 Years | Undergraduate | Varies | Full-time/Part-time | University |
| Semester | Subjects |
|---|---|
| Semester 1 | Introduction to Programming, Mathematics for Data Science, Basics of Data Science, English Communication, Environmental Studies |
| Semester 2 | Programming in Python, Statistics for Data Science, Database Management Systems, 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, Operating Systems, Principles of Marketing, Research Methodology |
| Semester 5 | Deep Learning, Cloud Computing for Data Science, Elective 1, Project Work (Part 1), Industrial Training |
| Semester 6 | Data Visualization Techniques, Elective 2, Project Work (Part 2), Ethics in Data Science, Seminar on Emerging Technologies |
| Important Topics in BCA in Data Science at Mats University |
|---|
| Introduction to Data Science |
| Programming for Data Science (Python/R) |
| Mathematics & Statistics for Data Science |
| Data Visualization Techniques |
| Machine Learning Algorithms |
| Big Data Analytics |
| Database Management Systems |
| Data Mining and Predictive Modeling |
| Deep Learning |
| Cloud Computing for Data Science |
