What is the eligibility criteria for BCA in Data Analytics at Sanskriti University?
The eligibility criteria for BCA in Data Analytics at Sanskriti University require candidates to have completed their 10+2 or equivalent examination from a recognized board with Mathematics as a subject. Candidates should have secured a minimum aggregate percentage as specified by the university at the time of admission.
How much are the fees for BCA in Data Analytics at Sanskriti University?
The fees for BCA in Data Analytics at Sanskriti University can vary each academic year. Prospective students are advised to check the university's official website or contact the admissions office directly for the most current fee structure.
What is the selection process for BCA in Data Analytics at Sanskriti University?
The selection process for BCA in Data Analytics at Sanskriti University typically involves a review of the applicant's academic records and performance in the qualifying examination. The university may also conduct personal interviews or entrance tests as part of the selection process, depending on the number of applications received and the admission criteria for the year.
Is there a cut off mark for BCA in Data Analytics at Sanskriti University?
Yes, there is a cut off mark for BCA in Data Analytics at Sanskriti University, which is determined based on the overall performance of applicants in the qualifying examination and any entrance test or interview conducted by the university. The specific cut off mark can vary each year depending on the competitiveness of the applicant pool.
What are the placement opportunities for BCA in Data Analytics graduates from Sanskriti University?
BCA in Data Analytics graduates from Sanskriti University have various placement opportunities in sectors such as IT, banking, finance, retail, and healthcare, among others. The university's placement cell actively works to facilitate recruitment drives and career guidance sessions with reputed companies. Past graduates have been successfully placed in roles such as data analysts, business analysts, data scientists, and more. However, students are encouraged to also pursue internships and projects to enhance their employability.
