Programs
BCA (Artificial Intelligence, Machine Learning and Data Science)
BCA (Artificial Intelligence, Machine Learning and Data Science)
The BCA in Artificial Intelligence, Machine Learning and Data Science at S-VYASA strategically develops strong computational foundations and builds specialised expertise in intelligent and data-driven technologies. The curriculum combines core computer application concepts with advanced domains such as AI, machine learning, and data science. This approach enables students to thrive in a technology-centric ecosystem.
Students explore key areas such as predictive analytics, machine learning algorithms, data visualisation, natural language processing, and big data technologies. This experience empowers them to design and implement intelligent, insight-driven solutions. The programme builds programming proficiency, develops data handling, and strengthens analytical reasoning. Students extract actionable intelligence from complex datasets.
Through hands-on laboratory work, project-based learning, and industry-aligned pedagogy, learners gain practical skills and solve problems essential for modern computing environments. Learners apply these skills in business intelligence, healthcare, finance, and digital platforms, which equips graduates to contribute to the expanding AI and data science landscape.
Eligibility
- Passed 10+2 examination with eligibility as per the Affiliating University Admission Policy. Or
- A pass in diploma in Commercial Practice or equivalent.
Program Highlights
Integrated AI & Data Science Curriculum:
Equips students with in-demand expertise at the intersection of computer applications, AI, machine learning, and data science.
Strong Programming Foundation:
Builds job-ready programming and development skills essential for AI-driven careers.
Machine Learning & AI Expertise:
Delivers hands-on experience in key machine learning and AI techniques vital for next-generation solutions.
Data Analytics & Visualisation:
Develops abilities to generate business value from complex data using modern analytical and visualisation tools.
Big Data Technologies:
Introduction to large-scale data processing, data management, and modern analytics frameworks.
Natural Language Processing & AI Applications:
Exposure to NLP, automation, and real-world AI-driven applications.
Experiential Learning Approach:
Hands-on training through labs, live projects, case studies, and practical assignments.
Industry-Aligned Curriculum:
Ensures graduates meet current employer expectations in AI and analytics roles.
Research & Innovation Orientation:
Encourages critical thinking, problem-solving, and the development of intelligent solutions.
Career-Ready Skill Development:
Enables graduates to confidently step into AI, data analytics, and business intelligence roles.
Program Fee
| PROGRAMME | YEAR'S | FEE AMOUNT |
|---|---|---|
| BCA (Artificial Intelligence, Machine Learning and Data Science) | 1st Year | ₹ 2,00,000/- |
| 2nd Year | ₹ 2,00,000/- | |
| 3rd Year | ₹ 2,00,000/- |
Registration Fee for All Courses – ₹25,000
(Inclusive of Non-Refundable Administrative Charge – ₹10,000 + Application Fee –
₹1,000)
Career Outcome
Data Analytics Roles:
Opportunities as a Data Analyst and Business Intelligence Executive, focusing on data interpretation, reporting, and insight generation.
Machine Learning Careers:
Positions as Machine Learning Associate or Junior ML Engineer, specialising in model development and data-driven solutions in both analytics and application contexts.
Artificial Intelligence Positions:
Careers as an AI Developer and an AI Associate, working on intelligent applications, automation, and smart systems.
Software & Application Development:
Develop scalable, data-integrated applications for technology-enabled environments.
Big Data & Data Management:
Opportunities in data handling, database management, and large-scale data processing environments.
Emerging Technology Domains:
Roles across analytics, AI-driven platforms, digital transformation, and intelligent business solutions.
Cross-Industry Demand:
Career prospects in IT services, finance, healthcare, e-commerce, consulting, and technology-enabled enterprises.
Higher Education Pathways:
Strong foundation to pursue MCA, M.Sc. in Data Science, or specialised certifications in AI and Machine Learning.
Global Career Opportunities:
Preparedness for roles in multinational organisations and data-driven enterprises worldwide.
Entrepreneurial Pathways:
Equips graduates to build data-centric and AI-powered startups in emerging digital ecosystems.