Program Overview

The MCA in Artificial Intelligence is a specialized program that emphasizes AI techniques and their application in the software and technology sectors. It equips students with a solid foundation in programming, data structures, and AI algorithms, alongside practical experience in developing intelligent systems and applications. The program focuses on developing critical thinking and problem-solving skills, allowing graduates to create innovative AI solutions for real-world challenges. Both programs aim to foster expertise in AI, enabling students to pursue careers in a rapidly evolving and highly competitive field.

Duration
2 Years

Applications Open for 2025

Programme Name

MCA (Artificial Intelligence)

Career Opportunities

At Vidya University, students post 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:

  • Data Analyst
  • Data Scientist
  • Natural Language Processing Specialist
  • AI Consultant

Scholarship

*Terms and Conditions Apply

  • Scholarships are granted based on the order of application and are applied as fee adjustments.
  • To retain the scholarship throughout the duration of the program, students must maintain a minimum academic performance of 8 CGPA in all semesters, ensure at least 80% attendance, and avoid any disciplinary issues during their course of study."

Eligibility

The candidate must have passed Bachelor’s Degree in Computer Applications or Mathematics.

Candidates must have secured a minimum of 50% aggregate marks (45% for reserved category students) in the qualifying examination.


Selection

Selection will be based on merit of Bachelor’s Degree.

Program Highlights

  • Comprehensive Curriculum: The program covers foundational and advanced topics in AI and ML, including deep learning, natural language processing, computer vision, data analytics, and algorithm design.
  • Hands-on Learning: Students gain practical experience through projects, internships, and lab work, allowing them to apply theoretical knowledge in real- world scenarios.
  • Industry-Relevant Skills: The program is designed to equip students with the skills required by today’s tech industry, ensuring they are ready to tackle complex problems in sectors like healthcare, finance and robotics.
  • Experienced Faculty: The program is taught by expert faculty members with significant experience in AI and ML, including industry professionals and researchers, ensuring students receive high- quality instruction.
  • Strong-Industry Partnerships: Collaborations with top tech companies and startups provide students with real- world exposure, internships and potential job placements, enhancing their career prospects.
  • Global Career Opportunities: The skills and knowledge gained through this program open doors to career opportunities in leading companies globally, in roles such as AI Engineer, Data Scientist, Robotics and more.
  • Modern Facilities and Labs: The University is equipped with AI- focused labs, high- performance computing resources, and modern infrastructure to support hands-on training and experimentation.

Key Recruiters

Frequently Asked Questions – MCA in Artificial Intelligence

Candidates must have a bachelor's degree in Computer Science, IT, or related fields, with Mathematics as a subject in 10+2 or graduation. Some universities may also require entrance exam scores such as NIMCET.

The program typically lasts 2 years, divided into 4 semesters. However, for students with an integrated BCA-MCA degree, it may take 5 years in total.

The course includes subjects like Machine Learning, Deep Learning, Natural Language Processing, Neural Networks, and AI Ethics. Practical projects and capstone research are also emphasized.

Graduates can work as AI developers, data scientists, machine learning engineers, or research analysts. Opportunities exist in industries like IT, healthcare, finance, and robotics.

Yes, the university provides robust placement support with partnerships in AI-focused industries. Students also gain hands-on experience through internships and live projects.