With the MSF program in Chicago ending, I wanted to do an update on the Notre Dame MS in Business Analytics which is still going strong and taught in downtown Chicago, ideally suited for working professionals. With such a great brand name and an analytics focused degree, the Business Analytics masters is definitely a program everyone should consider if they happen to be looking for a Chicago based specialized masters.
Since this is a program designed for working professionals, with classes held on alternating weekends (Friday-Saturday), candidates seeking an F-1 or J-1 student visa are not eligible for the program. Something to keep in mind.
In order to be eligible for this program, you should be actively employed, with a minimum of 2 years work experience. There should be employer support and you should have an evidence of quantitative capabilities to succeed in the program.
The application process is pretty standard – resume, transcripts, 2 letters of recommendation (one from a current employer) and a personal statement. Below are the admission deadlines:
- Early Decision: May 3, 2022*
- Round 1: August 2, 2022
- Round 2: October 4, 2022
- Round 3: November 15, 2022
* As we continue to experience negative financial ramifications from the Coronavirus pandemic, the University of Notre Dame is prepared to offer a fellowship in the amount of $5,000 for prospective students who apply by the priority deadline AND who are admitted and successfully matriculate into the MSBA Chicago program.
Note – above is directly from the website and you should confirm before applying. This might change.
Tuition and program fees for the MSBA program starting in January 2023 are $55,900.
Since this is a program designed for working professionals, the career approach is slightly different than a full time program for less experienced undergrads. The program will work with the experienced professional to enhance and expand your career. Below is a list of firms where individuals have earned their MSBA degree:
As expected, this degree is heavily focused on analytics and data mining. The curriculum is very relevant and material is taught across 4 modules with a capstone project at the end. Below is the outline of your experience in the program and what you should expect to learn.
- Introduction to Business Analytics
- Data Management
- Data Visualization
- Statistics for Managerial Decision Making I
- Machine Learning
- Decision & Risk Analysis
- Advanced R
- Statistics for Managerial Decision Making II
- Time Series Analysis
- Data Storytelling
- Ethics in Business Analytics
- Unstructured Data Analytics
- Cloud Analytics
- Marketing and Customer Analytics
- Emerging Issues in Analytics
- Analytics Capstone Project