Master of Science in Data Analytics
Student Stories & Answers
See what the experience is really like, and get answers before you reach out.
Success Stories
Elena R.
Director of Analytics, Fintech
Class of 2023
"I was working full-time and have two kids. The asynchronous format was the only way I could have done this. The faculty understood that we were professionals first, students second. It wasn't easy, but it was manageable, and the promotion I got halfway through paid for the degree."
David K.
Data Engineer, Healthcare
Class of 2024
"My undergraduate degree was in Biology. I was worried I wouldn't be able to keep up with the coding. The 'Foundations' track brought me up to speed quickly. By the second term, I was building predictive models that I actually used in my job at the hospital."
Common Questions
Yes. 90% of our students work full-time. The program is designed to require about 15-20 hours of work per week, with no required login times for lectures.
No. We offer a bridge course for students without Python or SQL experience. However, comfort with quantitative concepts (math/stats) is recommended.
The GRE is waived for applicants with a GPA over 3.0 or more than 3 years of relevant professional work experience.
Most working professionals complete the program in 20-24 months taking one course at a time. An accelerated 12-month track is available.