BCA in Data Analytics at Swami Rama Himalayan University - Course, Fees, Admission, Seats, Syllabus

Semester	Subjects
1st Semester	Introduction to Data Analytics, Programming Fundamentals, Mathematics for Data Science, English Communication, Environmental Studies
2nd Semester	Database Management Systems, Data Structures, Statistical Methods for Data Analysis, Business Communication, Indian Constitution
3rd Semester	Operating Systems, Object-Oriented Programming, Data Visualization, Linear Algebra, Elective I
4th Semester	Software Engineering, Machine Learning Basics, Big Data Analytics, Discrete Mathematics, Elective II
5th Semester	Web Technologies, Advanced Machine Learning, Time Series Analysis, Project Work I, Elective III
6th Semester	Cloud Computing for Data Analytics, Deep Learning, Capstone Project, Elective IV

This HTML snippet creates a heading titled "Swami Rama Himalayan University BCA in Data Analytics Syllabus" and a table listing a hypothetical syllabus semester-wise. Each row after the header row represents a semester, with subjects listed in a single cell for simplicity. Remember to adjust the content to match the actual syllabus.

As of my recent update in April 2023 I don't have access to the specific and current curriculum details for the BCA in Data Analytics program at Swami Rama Himalayan University or any other specific universitys course offerings. It's important to note that course curricula can vary significantly between institutions and may also change over time. However I can provide you with an overview of the key topics typically covered in a BCA (Bachelor of Computer Applications) program with a specialization in Data Analytics. For the accurate and up to date information I recommend visiting the official website of Swami Rama Himalayan University or directly contacting their admissions office. Here's a general breakdown of topics that are usually included in such a program on a basis; Year 1; Introduction to Programming (Python/Java) Mathematics for Computer Science, Database Management Systems, Principles of Management and Fundamentals of Computer and IT. Year 2; Advanced Programming, Data Structures and Algorithms Operating Systems, Statistics for Data Science and Introduction, to Data Analytics. Year 3; The curriculum typically covers subjects like Machine Learning, Big Data Analytics, Data Visualization Cloud Computing for Data Analytics and a Capstone Project in Data Analytics. However please note that this outline is a general overview and the actual curriculum might include additional specific courses, elective options and project assignments to keep up with the ever changing field of data analytics. I would advise referring to the curriculum provided by the university for the most accurate and up, to date information.