Which master's specialisation suits a Computer Engineering graduate with 36 months of work experience interested in applied artificial intelligence?

With 36 months of computer engineering experience, you should target a master's that leans into building and deploying AI systems rather than proving theoretical mathematics, since that is what "applied" artificial intelligence actually rewards at your career stage.

Degree Paths For Applied AI

Formats Worth Considering

• Professional online or part-time options like Georgia Tech's OMSCS or UT Austin's online MSCS or MSAI let you keep earning in India while you study.
• Cohort-based executive or professional degrees, such as Northwestern University's 12 to 15 month MSAI, are built specifically for people with 2 or more years of industry experience.
• Your computer engineering background gives you an edge in MLOps roles specifically, since you already understand hardware, memory, and compute constraints better than pure data science graduates.

My Advice

If you want to keep your India-based job and income, seriously consider an online part-time route like Georgia Tech OMSCS before committing to an on-campus programme abroad. Decide whether you are more drawn to the software application side of AI or the infrastructure and deployment side, since that single choice separates the MEng track from the MLOps-focused MS.