Online MCA in AI and ML
Explore Online MCA in AI and ML, its curriculum, career paths, and university options.

Program summary.
- Duration
- 2 Years
- Program fee range
- ₹80K – ₹2.5L
- Level
- PG
- Available specializations
- 11
Online MCA in AI and ML: eligibility
Indian applicants
Educational Qualification Candidates generally need a bachelor's degree from a recognized university in any discipline. Minimum Marks Many institutions specify a minimum graduation percentage. The exact requirement can differ between programs. Work Experience Work experience is generally not mandatory for many Online MBA programs, although experienced professionals may benefit from the program's practical and managerial focus.
International applicants
International applicants may need: A recognized undergraduate degree Equivalent academic qualification Academic document verification Equivalence documentation, where applicable Additional language requirements, depending on the institution
Explore other specializations.
Frequently asked questions.
What is an Online MCA in AI and ML?+
It is a postgraduate computer application program that combines core MCA subjects with specialized learning in artificial intelligence, machine learning, data analytics, and related technologies.
Who can pursue an Online MCA in AI and ML?+
Graduates who meet the academic and subject-specific eligibility requirements of the chosen institution can apply. Some programs may require mathematics or related subjects at the 10+2 or graduation level.
Is an Online MCA suitable for working professionals?+
Yes. The online format allows professionals to continue working while completing their postgraduate education remotely.
What is the fee for an Online MCA in AI and ML?+
Fees vary by institution and program. A typical online MCA may cost approximately ₹1 lakh to ₹1.5 lakh for the complete program, although the actual fee should be verified before admission.
What jobs can I get after an Online MCA in AI and ML?+
Graduates can explore roles such as Machine Learning Engineer, AI Developer, Data Scientist, AI Product Manager, Computer Vision Engineer, Automation Engineer, and AI Software Developer.
