BCA in Data Analytics at MGM Patna - Course, Fees, Admission, Seats, Syllabus

Creating a comprehensive semester-wise syllabus for a BCA in Data Analytics program at Manju Gita Mishra College in a single line HTML format requires a bit of creativity, given the constraints. Please note, the following is a hypothetical example as specific course details for Manju Gita Mishra College might not be publicly available. The syllabus structure is based on a typical BCA in Data Analytics program.

Semester	Courses
Semester 1	Introduction to Programming, Mathematics for Computer Science, Fundamentals of Computer and IT, Communication Skills, Principles of Data Analytics
Semester 2	Object-Oriented Programming, Database Management Systems, Data Structures and Algorithms, Business Communication, Statistics for Data Science
Semester 3	Operating Systems, Web Technologies, Advanced Database Management Systems, Linear Algebra for Analytics, Introduction to Python for Data Science
Semester 4	Software Engineering, Big Data Analytics, Machine Learning Fundamentals, Data Visualization Techniques, Elective I (e.g., Cloud Computing for Data Analytics)
Semester 5	Advanced Machine Learning, Data Warehousing and Data Mining, Business Intelligence, Elective II (e.g., IoT for Data Scientists), Project Work I
Semester 6	Deep Learning for Analytics, Predictive Analytics and Models, Ethics in Data Analytics, Elective III (e.g., Blockchain Fundamentals for Analytics), Project Work II

This table structure includes a header row with "Semester" and "Courses" as column titles. Each subsequent row represents a semester, listing the courses offered in that semester. This is a simplified example and actual course offerings, names, and the sequence may vary. Electives and project work are also included to reflect a typical structure where students can choose specialized subjects and engage in practical projects towards the end of their program.