BCA in Data Science at Brindavan Group of Institutions - Course, Fees, Admission, Seats, Syllabus

Bangalore ( Karnataka )

Estd In: 1993

Last Updated on February 21, 2024 5:17 PM

The Brindavan Group of Schools provides a Bachelor of Computer Applications (BCA) program in Data Science designed to prepare students with the skills for success in the rapidly expanding field of data science. This undergraduate course spans three years and caters to individuals on delving deep into data analysis, machine learning and big data technologies. The BCA in Data Science at Brindavan Group of Schools integrates knowledge with hands on experience to ensure students are well prepared for employment upon completion. The syllabus encompasses subjects such as programming languages, data structures, database management and statistics. All essential for a thriving career in data science. Regarding fees the program is competitively priced; however it's advisable to inquire from the institution for precise fee details due to potential updates or modifications. Opting for the Brindavan Group of Schools BCA in Data Science is a decision for students enthusiastic about data and aspiring to make a substantial impact, in the technology sector.

Introduction
Specializations Highlights
Specializations Syllabus
Specializations Important Topics
FAQs

Brindavan Group of Institutions BCA in Data Science Highlights 2024

Course Duration	Course Level	Course Tuition Fees	Mode of Study	Institute Type
3 Years	Undergraduate	Varies by Year	Full Time	Private

Brindavan Group of Institutions BCA in Data Science Syllabus 2024

Year	BCA in Data Science Syllabus - Brindavan Group of Institutions
1st Year	Programming in C, Digital Fundamentals, Discrete Mathematics, English, Data Structures, Database Management Systems, Environmental Studies, and Soft Skills.
2nd Year	Object-Oriented Programming with C++, Operating Systems, Business Data Processing with COBOL, System Analysis and Design, Numerical and Statistical Methods, Microprocessor and Assembly Language, and Personality Development.
3rd Year	Web Programming, Java Programming, Software Engineering, Python Programming, Data Science Essentials, Machine Learning, Big Data Analytics, and Project Work.

This table provides a concise overview of the BCA in Data Science syllabus offered by the Brindavan Group of Institutions, structured yearwise. Note that the actual syllabus might have updates or changes, so it's recommended to check the institution's official resources for the most current information.

Brindavan Group of Institutions BCA in Data Science Important Topics 2024

Important Topics in BCA in Data Science at Brindavan Group of Institutions
Introduction to Data Science
Programming for Data Science (Python/R)
Mathematics & Statistics for Data Science
Data Visualization Techniques
Machine Learning Algorithms
Big Data Analytics
Database Management Systems
Data Mining and Predictive Modeling
Natural Language Processing
Deep Learning
Cloud Computing for Data Science
Business Intelligence and Applications
Capstone Projects and Internships

Brindavan Group of Institutions BCA Course FAQs

What is the duration of the BCA in Data Science course at Brindavan Group of Institutions?

The BCA in Data Science course at Brindavan Group of Institutions is a 3-year undergraduate program.

What are the eligibility criteria for enrolling in the BCA in Data Science course?

Candidates must have completed 10+2 or equivalent examination from a recognized board with Mathematics as one of the subjects.

Does the BCA in Data Science course include practical projects?

Yes, the course includes practical projects and assignments to provide hands-on experience in data science and analytics.

Are there any internship opportunities available as part of the BCA in Data Science program?

Yes, students are encouraged to undertake internships during their course to gain real-world experience and enhance their skills.

What career opportunities are available after completing BCA in Data Science from Brindavan Group of Institutions?

Graduates can pursue careers as Data Analysts, Data Scientists, Business Analysts, Data Engineers, and in other related fields in various industries.

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