BCA in Data Analytics at Karunya Institute of Technology and Sciences - Course, Fees, Admission, Seats, Syllabus

Creating a detailed semester-wise syllabus table for the BCA in Data Analytics course at Karunya Institute of Technology and Sciences (Karunya University) in a single line of HTML would be quite complex due to the amount of information involved. However, I can provide a simplified example. Please note that this example might not reflect the actual syllabus accurately, as it's intended to demonstrate the structure. For the actual syllabus, you should refer to the university's official resources.

Semester	Subjects
Semester 1	Introduction to Data Analytics, Mathematics for Data Science, Programming Fundamentals, English for Communication, Environmental Studies
Semester 2	Database Management Systems, Data Structures, Probability and Statistics, Professional Ethics, Indian Constitution
Semester 3	Machine Learning, Big Data Analytics, Operating Systems, Object-Oriented Programming, Soft Skills
Semester 4	Cloud Computing, Data Visualization, Web Technologies, Research Methodology, Elective I
Semester 5	Deep Learning, Business Intelligence, Cyber Security Fundamentals, Project Work I, Elective II
Semester 6	Internship/Project Work II, Elective III, Elective IV

This table includes a basic structure where each row after the header represents a semester, and within each cell of the "Subjects" column, a brief list of example subjects is provided. Remember, the actual subjects, their order, and the electives offered can vary, so it's essential to consult the official curriculum for accurate information.

Based on the information I had gathered in April 2023 I don't have the details about the specific curriculum of the BCA in Data Analytics program at Karunya Institute of Technology and Sciences (Karunya University). However I can provide you with an overview of the important subjects typically covered in this program. To get the accurate and up to date information it would be best to visit the official website of Karunya Institute of Technology and Sciences or directly contact the university. Here is a general outline of the curriculum in a format; Year 1; Introduction to Programming, Mathematics for Data Analytics, Database Management Systems Year 2; Data Structures and Algorithms Statistical Methods for Data Analysis, Basics of Machine Learning Big Data Analytics Year 3; Advanced Machine Learning, Data Visualization Cloud Computing for Data Analytics, Capstone Project in Data Analytics The curriculum covers foundational topics such as programming languages mathematics relevant to data analytics and database management systems during the first year. In the year students delve into more advanced areas like data structures and algorithms statistical methods for data analysis along with an introduction to machine learning concepts and big data analytics. Finally during their year students focus on advanced machine learning techniques as well as data visualization skills. They also explore how cloud computing can be utilized for data analytics purposes. The program culminates with a capstone project that allows students to apply their knowledge in a real world scenario. Please note that these are guidelines and may vary depending on individual circumstances. To obtain details, about this programs curriculum at Karunya Institute of Technology and Sciences (Karunya University) it is recommended to consult with official sources or reach out to university representatives directly.