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CMS Kottayam BCA in Data Science

BCA in Data Science at CMS Kottayam - Course, Fees, Admission, Seats, Syllabus

location Kottayam ( Kerala )
location Estd In: 2017
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BCA in Data Science at CMS Kottayam - Course, Fees, Admission, Seats, Syllabus
location
Kottayam ( Kerala )
location
Estd In: 2017
Last Updated on February 06, 2024 10:08 PM
CMS College offers a range of specializations in its Bachelor of Computer Applications (BCA) program giving students the chance to explore specific areas of interest within the field of computer science. With a focus on practical learning and relevant skills for the industry CMS College ensures that students are well prepared for the constantly evolving IT industry. At present CMS College provides a total of five BCA specializations enabling students to customize their education according to their career goals and interests. These specializations encompass Software Development, Data Analytics, Cybersecurity, Web Development and Artificial Intelligence. By offering diverse specializations CMS College aims to equip students with the essential knowledge and expertise needed to thrive in their chosen field. Backed by faculty members and top notch facilities CMS College creates an environment that fosters learning and empowers students to become competent professionals, in the ever changing world of computer applications.
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Table of Contents

CMS Kottayam BCA in Data Science Highlights 2024

Course DurationCourse LevelCourse Tuition FeesMode of StudyInstitute Type
3 yearsUndergraduateINR 50,000 per yearFull-timePrivate

CMS Kottayam BCA in Data Science Important Topics 2024

Important Topics
Introduction to Data Science
Programming for Data Science (Python/R)
Database Management Systems
Data Analysis and Visualization
Machine Learning
Big Data Technologies
Statistical Methods for Data Science
Data Mining
Deep Learning
Cloud Computing for Data Science

CMS Kottayam BCA Course FAQs

What is CMS College BCA in Data Science?
The CMS College BCA in Data Science is an undergraduate program designed to equip students with the fundamental skills and knowledge required in the field of data science. This program combines the core principles of computer applications with specialized training in data science, including data analysis, machine learning, and big data technologies.
What are the eligibility criteria for CMS College BCA in Data Science?
The eligibility criteria for the BCA in Data Science at CMS College typically include completion of 10+2 (or equivalent) education with a minimum percentage as specified by the college, often with mathematics as a subject. However, specific eligibility requirements may vary, so it's recommended to check the official CMS College website or contact the admissions office for the most accurate information.
How can I apply for BCA in Data Science at CMS College?
To apply for the BCA in Data Science program at CMS College, candidates need to follow the admission process outlined by the college. This usually involves filling out an application form available on the college's official website, submitting required documents, and paying the application fee. Some colleges may also require entrance exams or personal interviews as part of the admission process.
What is the duration of the CMS College BCA in Data Science program?
The CMS College BCA in Data Science program is typically a three-year undergraduate course, divided into six semesters. Each semester includes a combination of theoretical and practical courses designed to provide a comprehensive education in data science and its applications.
What career opportunities are available after completing BCA in Data Science from CMS College?
Graduates of the BCA in Data Science program from CMS College can pursue a wide range of career opportunities in the field of data science and analytics. Potential career paths include data analyst, data scientist, machine learning engineer, business intelligence analyst, and roles in data-driven decision-making across various industries such as IT, healthcare, finance, retail, and more.

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