BCA in Data Science at Echelon Institute of Technology - Course, Fees, Admission, Seats, Syllabus

Given the dynamic nature of course curriculums and the fact that specific syllabus details can vary from year to year, I'll provide a general outline based on typical BCA in Data Science programs. However, for the most accurate and up-to-date syllabus, please consult the official Echelon Institute of Technology website or contact the institution directly. Here's a simplified, single-line HTML table representation that you might find in a general BCA in Data Science program:

Semester	Subjects
1st Semester	Introduction to Data Science, Mathematics for Data Science, Programming Fundamentals, English Communication, Environmental Studies
2nd Semester	Statistics for Data Science, Python Programming, Database Management Systems, Organizational Behavior, Digital Electronics
3rd Semester	Data Structures and Algorithms, Operating Systems, Machine Learning Basics, Web Technologies, Soft Skills
4th Semester	Advanced Machine Learning, Big Data Analytics, Cloud Computing, Professional Ethics, Minor Project
5th Semester	Deep Learning, Data Visualization, Internet of Things (IoT), Elective I, Major Project I
6th Semester	Blockchain Technology, Elective II, Major Project II, Industrial Training, Seminar

This table includes a simplified view with semesters and a broad categorization of subjects that might be part of a BCA in Data Science program. Remember, universities often update their curricula to keep pace with technological advancements and industry needs, so the actual subjects and their distribution across semesters might differ.