What is the BCA in Data Science at Neelkanth Group Of Institutions?
The BCA in Data Science at Neelkanth Group Of Institutions is an undergraduate program designed to provide students with a comprehensive understanding of data science and its applications. The program covers various aspects of data analysis, machine learning, and big data technologies, preparing students for careers in the rapidly growing field of data science.
What are the eligibility criteria for BCA in Data Science at Neelkanth Group Of Institutions?
The eligibility criteria for the BCA in Data Science program at Neelkanth Group Of Institutions typically include a pass in 10+2 or equivalent examination from a recognized board with Mathematics as one of the subjects. However, specific criteria may vary, so it's recommended 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 Neelkanth Group Of Institutions?
To apply for the BCA in Data Science program at Neelkanth 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 transcripts, personal details, and any other required documents. For detailed instructions and deadlines, it's best to refer to the admissions section of the website or contact the admissions office directly.
What is the duration of the BCA in Data Science program at Neelkanth Group Of Institutions?
The BCA in Data Science program at Neelkanth Group Of Institutions typically spans over a period of 3 years, divided into 6 semesters. Each semester includes a mix of theoretical and practical courses designed to build a strong foundation in data science.
What career opportunities are available after completing BCA in Data Science from Neelkanth Group Of Institutions?
After completing the BCA in Data Science from Neelkanth Group Of Institutions, graduates have a wide range of career opportunities in various sectors such as IT, banking, healthcare, e-commerce, and more. Potential job roles include Data Analyst, Data Scientist, Business Analyst, Machine Learning Engineer, and Big Data Engineer, among others.