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IFIM Bangalore BCA in Data Science

BCA in Data Science at IFIM Bangalore - Course, Fees, Admission, Seats, Syllabus

location Bangalore ( Karnataka )
location Estd In: 2009
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BCA in Data Science at IFIM Bangalore - Course, Fees, Admission, Seats, Syllabus
location
Bangalore ( Karnataka )
location
Estd In: 2009
Last Updated on February 20, 2024 4:58 PM
According to my recent update in 2023 the IFIM Group of Institutions now called Jagdish Sheth School of Management (JAGSoM) provides an extensive BCA program in Data Science. This program aims to equip students with the skills and knowledge required in the rapidly growing field of data science. The curriculum is carefully. Includes fundamental subjects in computer science specialized courses in data science and analytics as well as practical experience through projects and internships. While specific details regarding fees and faculty members may vary it is advisable to contact the institution for the most up to date information. One notable aspect of this program is its faculty members who have significant expertise either through industry experience or academic accomplishments in the field of data science and computer science. Graduates from the BCA program in Data Science have promising placement opportunities. The institution has a placement cell that actively assists students in connecting with potential employers. Graduates have secured positions across sectors such as IT, banking, e commerce, healthcare among others. These roles typically involve data analysis, data management and business intelligence. Prospective students are encouraged to visit the website or get in touch with the admissions office at IFIM Group of Institutions for the latest updates, on fees course structure, faculty members profiles and placement records.
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Table of Contents

IFIM Bangalore BCA in Data Science Highlights 2024

FeatureDetail
Course Duration3 Years
Course LevelUndergraduate
Course Tuition FeesVaries by Year
Mode of StudyFull Time
Institute TypePrivate

IFIM Bangalore BCA in Data Science Syllabus 2024

As of my last update in April 2023, I can provide you with a general outline of what a BCA in Data Science syllabus might look like, based on common academic structures for such programs. However, for the most accurate and specific syllabus of the BCA in Data Science at IFIM Group of Institutions, I recommend contacting the institution directly or visiting their official website. Below is a hypothetical example of what the syllabus could look like, formatted in a single-line HTML table for simplicity. Please note, this is a generic example and may not accurately reflect the specific courses or structure offered by IFIM Group of Institutions.
SemesterSubjects
Semester 1Introduction to Programming, Mathematics for Computer Science, Introduction to Data Science, English Communication, Environmental Studies
Semester 2Object-Oriented Programming, Database Management Systems, Data Structures and Algorithms, Probability and Statistics, Indian Constitution
Semester 3Operating Systems, Web Technologies, Machine Learning Basics, Linear Algebra, Professional Ethics
Semester 4Software Engineering, Advanced Database Management Systems, Big Data Analytics, Artificial Intelligence, Elective 1
Semester 5Data Visualization, Cloud Computing for Data Science, Advanced Machine Learning, Elective 2, Project Work 1
Semester 6Deep Learning, Data Science Capstone Project, Elective 3, Elective 4, Internship
This table is structured to show the semester-wise distribution of subjects that might be part of a BCA in Data Science program. Remember, the actual syllabus could include different subjects, elective options, and project requirements. Always refer to the official IFIM Group of Institutions resources for the most current and accurate information.

IFIM Bangalore BCA in Data Science Important Topics 2024

Important Topics in BCA in Data Science
Introduction to Data Science
Programming for Data Science
Mathematics & Statistics for Data Science
Data Visualization
Machine Learning
Big Data Analytics
Database Management Systems
Data Mining
Cloud Computing for Data Science
Artificial Intelligence

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