Applied AI Analytics Certification

Master the Intelligence Behind the Data, Future-Proof Your Career.

The Applied AI & Analytics Certification is designed for those who don't just want to watch the AI revolution—they want to lead it. This graduate-level certification fast-tracks your ability to bridge the gap between complex data and intelligent, automated solutions. Whether you are looking to pivot into the tech sector or amplify your current role, you’ll gain hands-on mastery of the tools that are reshaping the global economy.

This certification includes three dynamic courses:

1. Foundations of Data Science (ADS 521):  You’ll evolve from a data consumer to a data architect, mastering the core principles of data science and Python programming. This isn't just about math; it’s about learning to think like a data scientist—understanding how algorithms learn, how data flows, and how to build the foundational structures that power modern machine learning.
2. Data Analytics (ADS 524): In this hands-on course, you move beyond simple charts to master the art of statistical storytelling. Using  Python’s powerhouse and industry-standard tools, you’ll dive deep into exploratory analysis and hypothesis testing to uncover the "why" behind the numbers. You’ll learn to deliver the diagnostic insights with confidence. You will gain expertise to develop the diagnostic power to solve real-world problems and lead in a data-driven world.  
3. Generative AI: Foundations and Applications (ADS 653):  This isn't a theory class—it’s a builder’s workshop. You will master the mechanics of Large Language Models (LLMs), Transformers, and GANs. From prompt engineering to deploying ethical, generative systems for text and image, you’ll complete this course with a portfolio-ready project that proves you can build, fine-tune, and manage the AI tools of tomorrow.

Explore the online academic catalog for detailed course descriptions, program requirements, and additional curriculum information.

Start with a Certification. Continue Toward Your Master's.

Complete this certification on its own or apply the 3 courses toward the 10-course requirement for your MS in Applied Data Science +C or another +C graduate degree.

Admission Requirements

If you are a current BPU undergraduate student or BPU alumni, please contact Graduate Admissions to discuss your requirements.

For consideration, applicants must submit the following admission requirements:

1. A completed application - Apply Now 
2. Official undergraduate and graduate transcripts (a GPA of 3.0 or higher is preferred)
3. An original essay of at least 250 words on the topic: "Why an Applied AI Analytics Certification is important to my personal and professional goals."
4. A current resume
5. Two recommendations - Download the recommendation form here

How to Submit Your Graduate Application Materials

All documentation, including recommendation forms and official transcripts, may be mailed or emailed directly to the Bay Path University Office of Graduate Admissions:

Official Transcripts:

Official transcripts must be sent directly to Bay Path's Graduate Admissions Office from the issuing institution's records office either by mail or through a secure electronic transcript service (such as Parchment or National Clearinghouse). For transcripts sent through a secure transcript service, please select Bay Path University from the vendor's dropdown list to ensure the transcript is routed to the correct place. If an email address is requested, you can route to graduate@baypath.edu. Transcripts sent from the student are unofficial and will not be accepted.