What is the eligibility criteria for BCA in Artificial Learning & Machine Learning (AL-ML) at Mangalayatan University?
The eligibility criteria for enrolling in the BCA in Artificial Learning & Machine Learning (AL-ML) program at Mangalayatan University require candidates to have completed their 10+2 or equivalent examination from a recognized board with Mathematics as a subject. A minimum aggregate score of 50% is typically required.
What are the fees for the BCA in AL-ML program at Mangalayatan University?
The total fee for the BCA in Artificial Learning & Machine Learning (AL-ML) program at Mangalayatan University is approximately INR 1.5 lakhs per annum. However, students are advised to check the official university website or contact the admissions office for the most current fee structure.
Which entrance exams are accepted for admission into the BCA in AL-ML program at Mangalayatan University?
Mangalayatan University conducts its own entrance examination for admission into the BCA in Artificial Learning & Machine Learning (AL-ML) program. However, candidates with valid scores in national or state-level entrance exams may also be considered for admission. It's recommended to check the university's official admission guidelines for detailed information.
What is the selection process for the BCA in AL-ML program at Mangalayatan University?
The selection process for the BCA in AL-ML program at Mangalayatan University typically involves a review of the candidate's academic records, scores from the university's entrance exam or other accepted entrance exams, and a personal interview. The final selection is based on a holistic evaluation of these components.
What are the placement opportunities for BCA in AL-ML graduates from Mangalayatan University?
Mangalayatan University has a dedicated placement cell that works towards providing placement opportunities to its students. Graduates of the BCA in Artificial Learning & Machine Learning (AL-ML) program have been placed in reputable companies in the IT sector, with roles in data analysis, machine learning engineering, and artificial intelligence development. The university also offers internship opportunities and skill development programs to enhance employability.
