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SEA Group of Institutions BCA in Data Science

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

location Bangalore ( Karnataka )
location Estd In: 2003
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BCA in Data Science at SEA Group of Institutions - Course, Fees, Admission, Seats, Syllabus
location
Bangalore ( Karnataka )
location
Estd In: 2003
Last Updated on February 21, 2024 5:09 PM
Based on my recent update in April 2023 detailed information regarding a Bachelor of Computer Applications (BCA) program focusing on Data Science at SEA Group of Institutions might not be readily available or may not exist under that specific name. SEA Group of Institutions recognized for its dedication to offering high quality education across fields provides a variety of undergraduate and postgraduate courses. Typically a BCA program is structured to provide students with a groundwork in computer science, information technology and related areas. If SEA Group of Institutions were to introduce a BCA program specializing in Data Science it would probably combine computer science teachings with specialized instruction in data science topics such as statistics, machine learning, data processing and analysis. An educational program like the BCA focusing on Data Science at SEA Group of Institutions would aim to furnish students with the technical skills and theoretical understanding essential to excel in the fast evolving realm of data science. This curriculum would be especially attractive to individuals on leveraging datas potential to address intricate issues and influence decision making processes across diverse sectors. Graduates could anticipate opportunities in industries like IT, finance, healthcare, e commerce among others where data derived insights play a crucial role, in operational and strategic decision making. The course would probably focus on hands on learning through assignments and internships making sure that learners grasp not the most current technologies and approaches but also how to apply them in real life situations.
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Table of Contents

SEA Group of Institutions BCA in Data Science Highlights 2024

Course DurationCourse LevelCourse Tuition FeesMode of StudyInstitute Type
3 YearsUndergraduateVaries by nationality/regionFull-timePrivate

SEA Group of Institutions BCA in Data Science Syllabus 2024

SemesterSubjects
Semester 1Introduction to Programming, Mathematics for Data Science, Introduction to Data Science, English for Communication, Environmental Studies
Semester 2Programming in Python, Statistics for Data Science, Database Management Systems, Organizational Behavior, Financial Accounting
Semester 3Data Structures and Algorithms, Machine Learning I, Big Data Analytics, Business Intelligence, Elective I
Semester 4Advanced Python for Data Science, Machine Learning II, Data Visualization, Cloud Computing for Data Science, Elective II
Semester 5Deep Learning, Natural Language Processing, Data Science Project Management, Elective III, Internship
Semester 6Capstone Project, Industry Case Studies, Elective IV, Elective V
This table is a simplified representation and does not cover the full depth or specific subjects that might be part of an actual BCA in Data Science program. Electives can vary widely and could include topics like cybersecurity, web technologies, advanced database management systems, etc., depending on the institution's offerings and the evolving landscape of data science.

SEA Group of Institutions BCA in Data Science Important Topics 2024

SemesterImportant Topics
Semester 1Introduction to Data Science, Programming in Python, Mathematics for Data Science, Statistics for Data Science I
Semester 2Advanced Python for Data Science, Database Management Systems, Data Structures and Algorithms, Statistics for Data Science II
Semester 3Machine Learning I, Big Data Analytics, Data Visualization, Linear Algebra for Data Science
Semester 4Machine Learning II, Deep Learning, Natural Language Processing, Data Warehousing and Data Mining
Semester 5Cloud Computing for Data Science, Business Intelligence, Advanced Analytics, Elective I (e.g., IoT for Data Science, Blockchain for Data Science)
Semester 6Project Work, Internship, Elective II (e.g., Cyber Security for Data Science, Advanced Database Management Systems)

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