BCA in Data Science at MIMIT Malout - Course, Fees, Admission, Seats, Syllabus

Creating a single-line HTML table for the Malout Institute of Management and Information Technology BCA in Data Science semester-wise syllabus involves condensing the information into a compact format. Please note, the specific details of the syllabus (like subject names, codes, etc.) might not be accurate without the latest updates from the institute. The following is a hypothetical example based on a standard BCA in Data Science curriculum structure:

Semester	Subjects
Semester 1	Introduction to Data Science, Mathematics for Computer Science, Programming Fundamentals, English Communication, Environmental Studies
Semester 2	Database Management Systems, Data Structures, Object-Oriented Programming, Discrete Mathematics, Digital Electronics
Semester 3	Operating Systems, Web Technologies, Statistical Methods for Data Science, Python Programming, Soft Skills
Semester 4	Machine Learning, Data Mining, Computer Networks, Database and Information Retrieval, Minor Project
Semester 5	Big Data Analytics, Cloud Computing, Artificial Intelligence, Elective 1, Industrial Training
Semester 6	Data Visualization, Advanced Machine Learning, Elective 2, Major Project, Seminar

This HTML table is a simplified representation and should be customized based on the actual syllabus provided by the Malout Institute of Management and Information Technology for their BCA in Data Science program. Remember, elective subjects and specific course titles may vary, and updates to the curriculum could alter the structure or content of the courses offered.

As of my last update in April 2023, specific syllabus details for the BCA in Data Science specialization at Malout Institute of Management and Information Technology (MIMIT) might not be universally standardized, as curricula can vary by institution and evolve over time. However, I can provide you with a general overview of important topics typically covered in a BCA Data Science specialization. For the most accurate and up-to-date syllabus, please consult MIMIT's official website or contact the institution directly. Here's a simplified single-line HTML format table that outlines general important topics you might encounter in a BCA Data Science specialization:

Core Mathematics for Data Science	Programming Fundamentals	Data Structures and Algorithms	Database Management Systems	Statistical Methods for Data Science	Machine Learning	Data Visualization	Big Data Technologies	Artificial Intelligence	Cloud Computing for Data Science

This table represents a broad overview and includes core subjects that are crucial for understanding and excelling in the field of Data Science. Keep in mind that the actual course titles and the emphasis on specific topics might differ. Always refer to the official curriculum provided by MIMIT for the most accurate and specific information regarding the BCA in Data Science specialization.