What are the eligibility criteria for the BCA in Artificial Learning & Machine Learning (AL-ML) at KK Modi University?
The eligibility criteria for the BCA in AL-ML at KK Modi 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 the BCA in Artificial Learning & Machine Learning (AL-ML) program at KK Modi University?
The fee structure for the BCA in AL-ML program at KK Modi University is subject to change annually. It typically includes tuition fees, lab fees, library charges, and other miscellaneous expenses. Prospective students are advised to check the university's official website or contact the admissions office for the most current fee details.
What is the selection process for the BCA in AL-ML program at KK Modi University?
The selection process for the BCA in AL-ML program at KK Modi University generally involves a review of the applicant's academic records, performance in qualifying examinations, and any other criteria deemed relevant by the admissions committee. Some years may also include personal interviews or entrance tests as part of the selection process.
Is there a cut-off mark for admission into the BCA in AL-ML program at KK Modi University?
Yes, there is a cut-off mark for admission into the BCA in AL-ML program at KK Modi University. The cut-off mark is determined based on the overall performance of applicants each year and may vary. It takes into account the scores in the qualifying examinations and any other selection criteria set by the university for that admission cycle.
What are the placement opportunities after completing the BCA in AL-ML from KK Modi University?
KK Modi University has a dedicated placement cell that works towards providing job opportunities to its graduates. Students of the BCA in AL-ML program can expect placement opportunities in various sectors such as IT, banking, finance, education, and research organizations. The university also conducts training sessions, workshops, and seminars to prepare students for the recruitment process.