Capstone Project

The MS Analytics program capstone is a career enhancer. Students utilize real data from their organization (or another) and partner with a project coach to build a predictive model. The individual project is completed over the five semesters.  Graduates have earned significant raises because of their capstone projects.  The Cohort of 2022 reported an average annual estimated value of their capstone of $120,000,000 

 


Examples of capstone projects submitted by students according to industry:

Advertising/Marketing


Construction


Education


Business/Finance/Insurance/Tax


Government

Real Estate

 

Social Impact Analytics


Manufacturing


Food Manufacturing/Distribution


Healthcare/Biotechnology


Human Resources


Oil/Gas/Energy


Sports

Telecommunications 


Capstone Project Frequently Asked Questions

1. Do I have to know what my capstone project will be when I apply?

We will begin discussing the capstone project in orientation, but you won’t have to submit an initial topic proposal until the end of the first semester.

Your data never leaves you and is not stored on university servers. We recommend you anonymize, rescale, and sanitize your data. Your project coach can sign a non-disclosure agreement to further ensure confidentiality.

The answer really depends on your business problem/question. Our definition of big data is n=all. You will discuss data with your project coach to determine what variables are needed.

Students typically do not publish their findings due to company confidentiality agreements. Peer presentations are made, but specific variables and findings do not have to be shared as we are interested in the process of modeling more than the specific outcomes.

Our capstone project is an individual project specific to each student and his/her organization or interests. It is a unique feature of our program which is both time and resource intensive, but yields enormous return on investment.

Think about what keeps your boss up at night? What is her/his (or your) bonus based on? Typically a project that is interesting to your employer makes a great project.