MSc in Computational Mathematics and Statistics in Pittsburgh United States | Duquesne University

As a student in Duquesne's Computational Mathematics & Statistics M.S. program, you'll acquire sophisticated expertise in mathematical theory, statistical principles, and computational techniques applicable to data science and related quantitative fields. The curriculum offers broadening electives covering artificial intelligence, machine learning, statistical computing, and other cutting-edge topics. You'll master advanced programming while gaining hands-on experience with big data and high-performance computing environments. The program teaches practical skills in R, Python, SAS, and MATLAB for data analysis, algorithmic problem-solving, numerical methods, and computational efficiency assessment. You'll also learn to implement statistical modeling and machine learning techniques for data interpretation, plus leverage parallel computing and distributed systems for handling complex mathematical challenges and large datasets.