School of Science & Computing
Building intelligent solutions through Artificial Intelligence.
School of Science & Computing
The Bachelor of Computer Applications (B.C.A.) in Artificial Intelligence Applications program is designed to equip students with practical knowledge of AI-driven software and intelligent application development. The program integrates core computer application fundamentals with artificial intelligence concepts such as machine learning, data analytics, and intelligent systems. Emphasis is placed on hands-on implementation of AI tools and frameworks to build real-world applications across business, healthcare, finance, and service sectors.
The program bridges the gap between standard computer
applications and advanced AI concepts
like Machine Learning and Data Analytics.
Students learn to develop AI-driven software and intelligent
systems capable of solving
complex problems autonomously.
There is a strong focus on the hands-on implementation of AI
tools and frameworks,
moving beyond theory into actual coding and building.
The curriculum prepares students to deploy AI solutions
across diverse sectors, including finance,
healthcare, and business, ensuring
broad career applicability.
Internship
Oppurtunity
Strategic Assessment
& Skill Cultivation
Strategic Syllabus
Leadership
Holistic Academic
Evaluation
Prioritizing smaller, secure,
industry-specific models over massive general
purpose AI for higher precision and privacy.
Shifting from simple chatbots to AI agents
that independently
plan and execute workflows.
Moving from manual coding to AI-native
platforms where developers
define goals and AI builds.
Provide strong foundations in Artificial Intelligence, Computer Science, & Digital Media.
Provide strong foundations in Artificial Intelligence, Computer Science, & Digital Media.
Provide strong foundations in Artificial Intelligence, Computer Science, & Digital Media.
A comprehensive roadmap designed to take you from foundational art principles to advanced AI-driven VFX production across four specialized tracks.
Technical Skills
Students explore Python, TensorFlow, PyTorch, Scikit-learn, Google Colab, Jupyter, Tableau, Power BI, AWS, gaining confidence while turning ideas into intelligent, real-world solutions.
High-performance workstations for training deep learning models.
Equipment for developing intelligent autonomous systems.
Join the 2026 cohort and master the future of intelligent computing within our state-of-the-art AI Research Lab.
Krishna Vikas has adapted and accepted the implementation of modern systems, adopting latest technologies in teaching methodologies and developments making education a truly global. Preparing new generation students to succeed in this challenging environment demands a flexible and real world based approach to education. The institutions promoted by the group represent the transformation stage of education globally. This metamorphosis and the learning philosophy practiced at Krishna Vikas infuses traditional values into a progressive approach, equipping students to become independent, have their feet firmly on the ground, yet adapt and excel in their chosen fields anywhere in the world.
CHANCELLOR
VICE CHANCELLOR
"Coming from a small town, I was apprehensive about fitting in. But the mentorship at KVGU is unparalleled. The coding bootcamps helped me crack the Google Summer of Code."
Rahul Sharma
B.Tech CSE, Batch of 2025
"I always wanted to pursue engineering without giving up my passion for Basketball. KVGU's sports infrastructure allowed me to represent the university at the national level while maintaining a 9.0 CGPA."
Anooja Singh
Civil Engineering, Batch of 2026
"Coming from a small town, I was apprehensive about fitting in. But the mentorship at KVGU is unparalleled. The coding bootcamps helped me crack the Google Summer of Code."
Rahul Sharma
B.Sc. AI & VFX, 2023
Machine Learning Engineer
Data Scientist
AI Application Developer
BCA in AI offers vast opportunities in software development, data science, and intelligent automation across global industries. Graduates can transition into roles like AI Engineer, ML Specialist, and Data Analyst.
Candidates must have completed 10+2 from a recognized board in any stream with a minimum aggregate score. A background in Mathematics or Computer Science is beneficial but not mandatory.
Yes, the program is highly practical. Students spend significant time in our AI Research Lab, working on real-world projects, building intelligent models, and developing a professional portfolio.
Yes, our dedicated Corporate Relations team has active tie-ups with top global tech giants. We provide 100% placement assistance and help students secure internships in leading AI and software firms.