M.S. in Computational Mathematics and Statistics

Duquesne University

As a student in Duquesne’s M.S. in computational mathematics & statistics program, you will gain advanced skills and knowledge in areas such as theoretical foundations of mathematics and statistics along with computational methods and practical applications related to data science and other areas of mathematics and statistics. Horizon-expanding electives will teach you about artificial intelligences, machine learning, statistical computing and much more. You will also develop advanced programming skills and gain experience working with large-scale data and high-performance computing systems. You will learn how to use software such as R, Python, SAS and MATLAB to analyze data and draw conclusions, develop algorithms to solve mathematical problems, learn how to use numerical methods to solve problems and analyze algorithms for accuracy and efficiency. You'll also learn how to apply statistical methods and machine learning algorithms to analyze and interpret data and explore parallel computing and distributed systems toward more efficient processing of large-scale data and complex mathematical problems.

McAnulty College and Graduate School of Liberal Arts