BCA in Data Analytics at Sai Nath University - Course, Fees, Admission, Seats, Syllabus

Ranchi ( Jharkhand )

Estd In: 2012

Last Updated on February 15, 2024 3:48 PM

Sai Nath University has developed a Bachelors degree program in Data Analytics that aims to provide students with the skills and knowledge to thrive in the growing field of data analytics. This undergraduate course offers a curriculum that covers computer applications basics, as well as specialized training in data analysis techniques, tools and software. Emphasizing learning the program incorporates real world projects and case studies to ensure students are well prepared for the demands of the data driven industry. Graduates of this program will have prospects in various analytics roles thanks to the universitys strong connections, with industry and focus on employability.

Introduction
Specializations Highlights
Specializations Syllabus
Specializations Important Topics
FAQs

Sai Nath University BCA in Data Analytics Highlights 2024

Course Duration	Course Level	Course Fee	Mode of Study	Institute Type
3 Years	Undergraduate	Varies	Online/Offline	University

Sai Nath University BCA in Data Analytics Syllabus 2024

Semester	Subjects
Semester 1	Introduction to Data Analytics, Mathematics for Computer Science, Programming in Python, English Communication, Computer Fundamentals and Office Automation
Semester 2	Database Management Systems, Data Structures, Operating System Concepts, Statistical Methods for Data Analysis, Environmental Studies
Semester 3	Object-Oriented Programming with Java, Web Technologies, Advanced Database Management Systems, Data Visualization, Minor Project
Semester 4	Machine Learning, Big Data Analytics, Cloud Computing, Ethics in Data Science, Business Intelligence
Semester 5	Deep Learning, Data Mining, Research Methodology, Elective I, Elective II
Semester 6	Internship/Project Work, Elective III, Elective IV

Please note, the subjects listed are hypothetical and meant to serve as an example. Actual course offerings and structure may vary. Always refer to the university's official curriculum for the most accurate and current information.

Sai Nath University BCA in Data Analytics Important Topics 2024

As of my last update in April 2023, I don't have access to the specific syllabus details of Sai Nath University's BCA in Data Analytics specialization. However, I can provide you with a general overview of important topics that are typically covered in a BCA Data Analytics specialization based on standard curricula. For the most accurate and up-to-date information, please refer directly to Sai Nath University's official resources or contact them directly. Below is a hypothetical overview in a single line HTML format:

Course	Key Topics
Introduction to Data Analytics	Basics of Data Analysis, Data Life Cycle, Introduction to Big Data
Programming for Data Analytics	Python/R Programming, Data Structures, Algorithms
Database Management Systems	SQL, NoSQL, Data Warehousing, Data Mining
Statistical Methods for Data Analysis	Descriptive Statistics, Inferential Statistics, Probability
Data Visualization	Tableau, Power BI, Data Presentation Techniques
Machine Learning	Supervised Learning, Unsupervised Learning, Neural Networks
Big Data Technologies	Hadoop, Spark, Big Data Analytics Tools
Business Intelligence	BI Concepts, Tools, Decision Making Processes
Project	Real-world Data Analytics Project

This table is a simplified representation and does not cover all courses or topics. The actual curriculum may include additional subjects such as ethics in data analytics, cloud computing for data analytics, advanced machine learning techniques, and domain-specific analytics (like financial, healthcare, or social media analytics). Always refer to the university's official curriculum for the most accurate and comprehensive information.

Sai Nath University BCA Course FAQs

What is the fee structure for the BCA in Data Analytics at Sai Nath University?

The fee structure for the BCA in Data Analytics at Sai Nath University can vary each academic year. It's advisable to check the latest fee details directly on the university's official website or contact the admissions office for the most current information.

How can I apply for the BCA in Data Analytics program at Sai Nath University?

To apply for the BCA in Data Analytics program at Sai Nath University, candidates need to fill out the application form available on the university's official website. The process involves submitting the required documents, such as academic records, identification documents, and any other specified materials. After submitting the application, you may need to appear for an entrance examination or interview, depending on the university's admission criteria.

Are there any entrance exams required for admission into the BCA in Data Analytics program at Sai Nath University?

Admission into the BCA in Data Analytics program at Sai Nath University may require candidates to appear for an entrance examination. The specific requirements can vary, so it's important to check the latest admission criteria on the university's official website or contact the admissions office directly for the most accurate and up-to-date information.

What is the syllabus for the BCA in Data Analytics program at Sai Nath University?

The syllabus for the BCA in Data Analytics program at Sai Nath University covers a wide range of topics designed to provide students with a comprehensive understanding of data analytics. It typically includes subjects like Introduction to Data Analytics, Programming Languages (Python, R), Database Management Systems, Big Data Analytics, Machine Learning, Statistical Methods for Data Analysis, Data Visualization, and Project Work. For a detailed syllabus, it's best to consult the university's official curriculum documents.

What are the eligibility criteria for enrolling in the BCA in Data Analytics program at Sai Nath University?

The eligibility criteria for enrolling in the BCA in Data Analytics program at Sai Nath University generally include completion of 10+2 or equivalent examination from a recognized board with Mathematics as one of the subjects. Additionally, candidates may need to meet the minimum percentage requirements and any other criteria specified by the university. For the most accurate and current eligibility requirements, prospective students should refer to the university's official admissions guidelines.

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