Department of Mathematics & Statistics
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How to contact the Department of Mathematics and Statistical Sciences
If you need assistance, please email us at email@example.com. You can also call 303-615-0299 and leave a voicemail, but email is preferred. In your email (or voicemail), please tell us your name and, if applicable, your student ID that starts with 900 or 901.
If you want to take a math placement test, please follow the instructions here and select "Request Math Distance Test" to be added to the queue for placement tests via remote proctoring.
If you need a transfer course evaluated, follow the instructions here.
Mathematics & Statistics at MSU Denver
Developing the next generation of experts by providing a complete learning environment that is cost effective
Big data, algorithms, artificial intelligence, the internet of things – mathematics and statistics are the disciplines that underpin this technology-driven generation. Both subjects are crucial in making our lives easier and an improved world as a whole, relying on dedicated intellectuals to pave the way for future generations. Whether you choose to learn about mathematics, computing or areas where they are relevant to each other, you can learn it all at MSU Denver.
The Department of Mathematics & Statistics lives by a deep understanding of mathematical foundations and their applications in computing. Our professors are accomplished researchers with a passion for educating and learning. Our course work is challenging, but it’ll have you ready to hit the ground running on your first day on the job or in grad school.
Upon graduation, you’ll have expansive problem-solving and analytical skills to succeed in your career, even if your future job doesn’t involve math or computer programming. If you want a secure job that will constantly evolve and provide a lifetime of learning, our department and faculty can help you get there.
She's a member of the Probability and Statistics group and a popular teacher of all classes in that concentration. Her research involves statistical analysis of very large data sets for medical-related studies. She has been collaborating with a team of medical researchers in the Netherlands, and her work epitomizes the interdisciplinary nature of applied statistics.
Elizabeth Ribble, Ph.D.
Associate Professor of Mathematics & Statistics
- Astronomy and Space Exploration
- Climate Research
- Computer Science and Security
- Economics and Business Analysis
- Finance and Banking
- Statistical and Mathematical Modeling