BCA in Data Science at Institute of Innovation in Technology and Management - Course, Fees, Admission, Seats, Syllabus

Given the constraints of my last update, I don't have real-time or the most current specific data for the Institute of Innovation in Technology and Management's BCA in Data Science program. However, I can provide you with a generic HTML table format that you can fill with the appropriate data once you have it. Please replace the placeholders with the actual information.

Highlight	Details
Course Duration	3 Years
Course Level	Undergraduate
Course Tuition Fees	Rs [Your Fees]
Mode of Study	Full Time
Institute Type	Private

Please replace [Your Fees] with the actual tuition fees for the BCA in Data Science program at the Institute of Innovation in Technology and Management.

As of my recent update in April 2023 I don't have real time access to databases or specific course syllabi for the Institute of Innovation in Technology and Management (IITM) or any other institutions. Course syllabi often change from year to year to keep up with the trends, technological advancements and academic requirements. However a Bachelor of Computer Applications (BCA) in Data Science typically covers a range of subjects aimed at equipping students with the necessary skills to analyze and interpret large datasets. While I can't provide the syllabus for IITMs BCA in Data Science I can give you an overview of the common topics and areas that such a program might include; 1. Introduction to Data Science; Understanding the basics of data science, its significance and its applications across fields. 2. Fundamentals of Programming; Introducing programming languages that're relevant to data science, such as Python, R or Java. 3. Mathematics for Data Science; Exploring mathematical concepts like linear algebra, calculus and statistics that form the basis, for data science algorithms. 4. Data. Algorithms; Learning how to efficiently store, manage and process data. 5.**Database Management Systems (DBMS)**; This course focuses on the principles of managing databases, including SQL and NoSQL databases data warehousing and data mining. 6. **Data Analysis and Visualization**; In this course you will learn techniques for analyzing data using methods and tools like Tableau or Matplotlib for visualizing data. 7. **Machine Learning**; This course covers the fundamentals of machine learning algorithms such as supervised and unsupervised learning, neural networks and deep learning. 8. **Big Data Technologies**; Get introduced to the concepts of data along with the Hadoop ecosystem, Spark and other technologies used to process large datasets. 9. **Ethics and Privacy in Data Science**; Gain an understanding of the considerations and privacy concerns involved in collecting, analyzing and utilizing data. 10. **Capstone Project**; The capstone project allows students to apply their knowledge to solve a real world data science problem. For the accurate and up to date syllabus information I recommend reaching out directly to the Institute of Innovation in Technology and Management or visiting their official website. Academic institutions often provide detailed course descriptions upon request or, as part of their admissions materials.

Course Topic
Introduction to Data Science
Programming for Data Science (Python/R)
Statistics for Data Science
Data Visualization
Machine Learning
Big Data Technologies
Database Management Systems
Data Mining
Deep Learning
Natural Language Processing
Cloud Computing for Data Science
Business Intelligence and Analytics

This table provides a general overview of topics that are often part of a Data Science specialization within a BCA program. For the most accurate and detailed information, please consult the official website or academic catalog of the Institute of Innovation in Technology and Management or contact their admissions office directly.