What is the eligibility criteria for BCA in Data Science at Dayananda Sagar University?
The eligibility criteria for BCA in Data Science at Dayananda Sagar 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 for the year of admission.
How much are the fees for BCA in Data Science at Dayananda Sagar University?
The fees for BCA in Data Science at Dayananda Sagar University can vary each academic year. It is advisable for prospective students to check the official university website or contact the admissions office directly for the most current fee structure.
What is the selection process for BCA in Data Science at Dayananda Sagar University?
The selection process for BCA in Data Science at Dayananda Sagar University typically involves a review of the candidate's academic records, performance in qualifying examinations, and any other criteria as specified by the university. Some years may also include personal interviews or entrance tests as part of the selection process.
Is there a cut off mark for BCA in Data Science at Dayananda Sagar University?
Yes, there is a cut off mark for BCA in Data Science at Dayananda Sagar University. The cut off mark is determined based on the overall performance of applicants each year and may vary. Candidates are advised to check the university's official website or contact the admissions office for the specific cut off marks for the year they are applying.
What are the placement opportunities for BCA in Data Science graduates from Dayananda Sagar University?
BCA in Data Science graduates from Dayananda Sagar University have good placement opportunities with various tech companies and startups. The university has a dedicated placement cell that organizes campus recruitment drives, workshops, and training sessions to prepare students for their careers. Past graduates have been placed in roles such as Data Analyst, Data Scientist, Business Analyst, and more in reputed companies.
