Online BCA in AI and Machine Learning
Explore Online BCA in AI and Machine Learning, its curriculum, career paths, and university options.

Program summary.
- Duration
- 3 Years
- Program fee range
- ₹50K – ₹1.8L
- Level
- UG
- Available specializations
- 11
Online BCA in AI and Machine Learning: admission
Counselling Call
Fill Online Application
Upload Document
Fees Payment
Enrolment Confirmation
Explore other specializations.
Frequently asked questions.
Is an Online BCA in AI and Machine Learning a good career option?+
Yes, it can be a useful starting point for students interested in programming, artificial intelligence, machine learning, data analytics, and software development. Career growth will depend heavily on practical skills and experience.
What is the fee for an Online BCA in AI and Machine Learning?+
The fee mentioned in the source material is approximately ₹1,06,500 for the complete program, with a semester-wise fee of around ₹14,200. Students should verify the latest fee structure before admission.
What is the eligibility for an Online BCA?+
Applicants generally need to have completed 10+2 or equivalent education from a recognized board. The referenced program specifies a minimum of 40% marks.
What jobs can I get after an AI and ML BCA?+
Depending on skills and experience, graduates can explore roles such as: AI Developer Data Analyst Machine Learning Engineer Software Developer Research Assistant
What skills should I learn alongside the degree?+
Students should focus on Python, data structures, SQL, machine learning fundamentals, statistics, problem-solving, Git, cloud basics, and practical project development.
Is an AI and Machine Learning career promising in India?+
AI and Machine Learning continue to be important technology areas across sectors. Students who build strong programming fundamentals and practical AI skills can explore opportunities in software, analytics, automation, FinTech, healthcare technology, e-commerce, and startups.
Is an Online BCA suitable for beginners?+
Yes. A BCA typically begins with foundational programming and computer application concepts before progressing toward advanced subjects. However, students should be prepared to practice coding regularly.
