Manish Panjwani on why did he decide to pick MS in AAI after being a tech leader for more than two decades
Graduates recount why they picked an online Master's as working professionals over a traditional Master's
Applied Probability and Statistics for AI
Introduction to Artificial Intelligence
Agentic AI Systems
Neural Networks and Deep Learning
Natural Language Processing and GenAI
Applied Computer Vision for AI
Large Language Model Engineering
Applied AI Ethics
Machine Learning Operations
Capstone Project
Optional Campus Immersion
Spend two weeks on the USD campus learning from faculty, connecting with peers, and experiencing life in San Diego.
Graduate on the USD Campus
Celebrate your achievement at USD's commencement ceremony alongside graduates from around the world.
INR 2.5 Lakhs per semester
Flexible payments across 5 semesters
Merit-based scholarships available
Dr. Ebrahim Tarshizi
Program Director, Master's in AAI
Matthew Dominick
BS, Electrical Engineering Commander of NASA’s SpaceX Crew-8 mission
Jim Parsons
Actor, Primetime Emmy and Golden Globe Winner
Puneet Chopra
Principal Advisor - AI & Networks in Rakuten Mobile
Mike Brown
Associate head coach for the Golden State Warriors of the National Basketball Association (NBA)
Sandeep Kumar Jakkaraju
Technical Architect in Transnational AI Private Limited
Navoneel Jana
Infosec and Threat Assessment Manager in Emirates
Lowell McAdam
Former President CEO of Verizon Communications
Dr. Craig Venter
American biochemist & geneticist. Founder of Celera Genomics, Institute for Genomic Research and the J. Craig Venter Institute
Venkatasundaram Krishnamoorthy
Director (DevSecOps) in Advanced Sterilization Products
Monte Berm
Co-founder, Chairperson of board of Directors, StepStone
Michaella Wittmann
BS/BA, Electrical EngineeringLed over 20 LEED sustainability projects worth multi-million dollar projects
The program is called “Applied Artificial Intelligence” - how is this different from a generic AI or data science certificate course?
The 30-unit curriculum is built as a full graduate degree, not a single-skill workshop. Students move through probability and statistics, classical and deep learning, computer vision, and NLP, generative AI, and agentic AI, before concluding with Machine Learning Operations (MLOps) as a required course rather than an elective add-on. Each course pairs the underlying statistical and engineering foundation with a hands-on Python project, so students aren’t sampling AI topics – they’re building the discipline underneath them, end to end.
What's the tech stack and hands-on experience like - do students actually build things, or is it mostly theory?
Is the curriculum current - covering generative AI, RAG, and agentic systems - or mostly classical machine learning?
How big is the cohort - is this a high-volume program or something more selective?
What makes the capstone different from a one-off course project?
Will an online AI master's from a US university actually carry weight with employers in India and globally?
The fee feels steep against my current salary - is there real, demonstrated ROI?
