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

| **Key Information** | **Details** | | | | | Duration of the Course | Typically the course lasts for around 3 years | | Course Level | This course is designed for students | | Tuition Fees | The tuition fees differ based on the institution. It is recommended to visit the website or directly contact the institute for the latest fee details.| | Mode of Study | Full time study is available | | Institute Type | The course is offered by an institution | Please keep in mind that the information provided in this table is based on general knowledge about BCA in Data Science programs at various institutions, including Padmashree Institute of Management and Sciences. It's important to note that specific details, tuition fees can vary significantly and may change over time. To obtain the accurate and up, to date information it is recommended to visit Padmashree Institute of Management and Sciences official website or contact them directly.

As of my recent update in April 2023 I'm unable to provide you with the real time or current syllabus for the BCA in Data Science program at Padmashree Institute of Management and Sciences or any other specific institution. It's important to note that course syllabi can vary significantly between years and are subject to changes made by the institutions based on curriculum updates. However I can certainly offer you an overview of what a typical BCA in Data Science program might encompass. Generally this program aims to equip students with knowledge in computer applications with a specific focus on data science. This would include studying algorithms, data structures, database management and data analytics. Here's a broad outline of subjects that may be included within a BCA in Data Science curriculum; 1. Introduction to Programming; This subject covers the basics of programming languages such as Python, which is widely used in the field of data science. 2. Mathematics for Data Science; This entails studying statistics, probability theory, linear algebra and calculus – all crucial components for comprehending data science algorithms. 3. Data Structures and Algorithms; Here the emphasis is, on understanding how to organize, process and store data 4. Database Management Systems (DBMS); Students will learn about databases well as SQL and NoSQL databases – gaining knowledge on how to effectively manage and retrieve data. 5. **Data Analysis and Visualization**; This part of the curriculum focuses on introducing tools and techniques for analyzing data sets and visualizing data using software like Tableau or Python libraries such as Matplotlib and Seaborn. 6. **Machine Learning**; In this section you will learn about the fundamentals of machine learning algorithms including supervised and unsupervised learning, decision trees and neural networks. 7. **Big Data Technologies**; Here you will be introduced to the concepts of data and the technologies used to handle large datasets like Hadoop and Spark. 8. **Web Technologies**; This part of the program covers the basics of web development because it is often necessary for data scientists to present their findings through web applications. 9. **Ethics and Data Privacy**; The ethical considerations and privacy concerns in data science will be discussed in this section. 10. **Capstone Project**; Towards the end of the program you will have a capstone project where you can apply what you have learned to solve real world problems. To obtain specific information about the BCA in Data Science syllabus at Padmashree Institute of Management and Sciences it is recommended that you directly contact the institution or visit their official website. They will provide you with the curriculum details, elective options, as well as any specialization tracks available, within the program.

As of my last update in April 2023, I don't have access to the specific curriculum details for the BCA in Data Science program at Padmashree Institute of Management and Sciences. However, I can provide you with a general outline of important topics that are typically covered in a BCA in Data Science program. Please check the institute's official website or contact them directly for the most accurate and up-to-date information. Here's a general outline in a single-line HTML format:

Core Subjects	Elective Subjects	Practical Skills
Programming in Python	Machine Learning	Data Analysis with Python
Database Management Systems	Big Data Analytics	Database Design and Development
Statistics for Data Science	Artificial Intelligence	Statistical Analysis with R
Data Structures and Algorithms	Data Visualization	Machine Learning Projects
Mathematics for Data Science	Cloud Computing for Data Science	Web Technologies for Data Science

This table includes a mix of core subjects, elective subjects, and practical skills that are commonly part of a BCA in Data Science curriculum. Keep in mind that the actual curriculum may vary.