The University of Colorado, Boulder’s Department of Applied Mathematics is one of the leading applied mathematics departments in the world. In fact, in a recent National Research Ranking, the Department was ranked amongst the top ten in many measures. With internationally recognized faculty and a strong commitment to its graduate program, the Department of Applied Mathematics at CU Boulder strives to provide graduate students with a high quality education and training in applied mathematics while preparing them for careers in industry, laboratories, and academia.
The Department fosters extensive interaction between students and faculty to provide a tailored educational experience in applied mathematics. Currently, the Department has 24 internationally recognized research faculty, a number of whom are fellows of professional societies, including the Society for Industrial and Applied Mathematics, the American Mathematical Society, the American Statistical Association, and the American Physical Society. The Department’s research broadly falls under the following five areas:
Statistics and Data Science
Physical Applied Mathematics
Mathematical Biological and Social Sciences
In addition, the department has 35 affiliated faculty from other academic departments and colleges. A Ph.D. student may be advised by core research faculty or co-advised by an affiliate involved in applied mathematics, which creates a definitively unique learning experience in many areas of the physical, biological, social, computational, or engineering sciences. With the research breadth of such a diverse faculty, a student can explore their academic and research interests by engaging in numerous exciting projects. CU Applied Mathematics Ph.D. students go on to successful research and/or teaching oriented careers in academia, industry, and government labs.
The Professional Master’s Degree in Applied Mathematics is designed to give students the technical knowledge and professional skills to be highly successful in careers related to data science, statistics, applied mathematics and engineering. Coursework—culminating in a comprehensive final project—offers students strong preparation in the mathematics, statistics, and computing at the heart of the big data revolution. In addition, students will have access to workshops and courses that help develop valuable professional skills, including communication, collaboration, presentation, organization, and networking skills. Students in the program will have the option to specialize in Statistics and Data Science or customize their own educational plan. The Statistics and Data Science specialization enables students to develop the foundational tools needed to analyze and interpret data—including complex and high dimensional datasets—and to engage with the department’s Laboratory for Interdisciplinary Statistical Analysis (LISA). In LISA, students will gain valuable collaboration skills and grow lasting relationships with faculty and industry professionals.
Professional MS, PhD
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