What is BCA in Data Science at Poddar Group of Institutions?
BCA in Data Science at Poddar Group of Institutions is an undergraduate program designed to equip students with the skills and knowledge required to excel in the field of data science. The program covers various aspects of data analysis, programming, machine learning, and statistics, preparing students for a career in data science and analytics.
What are the eligibility criteria for BCA in Data Science at Poddar Group of Institutions?
The eligibility criteria for BCA in Data Science at Poddar Group of Institutions typically include completion of 10+2 or equivalent examination from a recognized board with Mathematics as one of the subjects. However, specific criteria may vary, and it's advisable to check the official website or contact the admissions office for the most accurate information.
How can I apply for BCA in Data Science at Poddar Group of Institutions?
To apply for BCA in Data Science at Poddar Group of Institutions, candidates usually need to fill out an application form available on the institution's official website. The application process may involve submitting academic records, personal details, and possibly appearing for an entrance test or interview. Detailed instructions and requirements are typically provided on the website or through the admissions office.
What is the duration of the BCA in Data Science program at Poddar Group of Institutions?
The BCA in Data Science program at Poddar Group of Institutions is typically a 3-year undergraduate course, divided into six semesters. The program is designed to provide comprehensive training in data science over this period.
What career opportunities are available after completing BCA in Data Science from Poddar Group of Institutions?
After completing BCA in Data Science from Poddar Group of Institutions, graduates have a wide range of career opportunities in sectors like IT, business analytics, data analytics, data engineering, machine learning engineering, and more. They can work in roles such as Data Analyst, Data Scientist, Machine Learning Engineer, Business Analyst, and Data Engineer, among others.