The Artificial Intelligence program at Vidya University offers a comprehensive and industry-relevant curriculum designed to equip students with the skills and knowledge needed to excel in the world of AI and ML. The program blends theoretical foundations with hands-on experience, covering key areas such as machine learning algorithms, deep learning, natural language processing, computer vision, and data analytics. With a strong emphasis on practical learning, students engage in projects, internships, and real-world applications, preparing them to solve complex problems using AI-driven technologies.
BCA (Artificial Intelligence)
At Vidya University, students graduating from the Artificial Intelligence program have access to a wide range of career opportunities. The university’s strong academic framework prepares graduates to step into roles that are at the forefront of technological innovation. Here are some career opportunities that students can pursue:
The candidate must have passed 10+2 (Intermediate) or equivalent examination in all streams.
Candidates must have secured a minimum of 50% aggregate marks (45% for reserved category students) in the qualifying examination.
Selection will be based on merit of Class XII.
Applicants must have completed 10+2 with Mathematics or Computer Science as a subject. Admissions may be merit-based or require clearing an entrance exam, depending on university norms.
The BCA in AI program spans 3 years, divided into 6 semesters. Each semester includes a mix of theoretical and practical coursework to build AI expertise.
The curriculum includes subjects like Programming Languages, Data Structures, Machine Learning, Artificial Neural Networks, and AI Applications. Practical projects and case studies are an integral part of the course.
Graduates can pursue roles such as AI developer, data analyst, machine learning specialist, or software engineer. Opportunities exist in IT, e-commerce, healthcare, and other industries using AI technologies.
Yes, the university offers internships, workshops, and live projects in collaboration with AI-driven companies. These experiences prepare students for real-world challenges in the AI field.
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