What is the eligibility criteria for BCA in Data Science at Ponnaiyah Ramajayam Institute of Science and Technology?
The eligibility criteria for BCA in Data Science at Ponnaiyah Ramajayam Institute of Science and Technology require candidates to have completed their 10+2 education from a recognized board with Mathematics as a compulsory subject. A minimum aggregate score of 50% is typically required.
How much are the fees for BCA in Data Science at Ponnaiyah Ramajayam Institute of Science and Technology?
The fees for BCA in Data Science at Ponnaiyah Ramajayam Institute of Science and Technology can vary each academic year. Prospective students are advised to check the official website or contact the admissions office directly for the most current fee structure.
What is the selection process for BCA in Data Science at Ponnaiyah Ramajayam Institute of Science and Technology?
The selection process for BCA in Data Science at Ponnaiyah Ramajayam Institute of Science and Technology typically involves a review of the applicant's academic records, performance in qualifying examinations, and sometimes a personal interview. Specific details about the selection criteria can be found on the institute's admissions page.
Is there a cut off mark for BCA in Data Science at Ponnaiyah Ramajayam Institute of Science and Technology?
The cut off mark for BCA in Data Science at Ponnaiyah Ramajayam Institute of Science and Technology can vary each year based on the overall performance of applicants and the number of available seats. For the most accurate and current cut off information, candidates should refer to the institute's official admissions announcement.
What are the placement opportunities for BCA in Data Science graduates from Ponnaiyah Ramajayam Institute of Science and Technology?
BCA in Data Science graduates from Ponnaiyah Ramajayam Institute of Science and Technology have good placement opportunities with various tech companies and startups. The institute has a dedicated placement cell that works towards providing students with internships and job opportunities in the field of data science and related areas.