MSc in Engineering in Applied Mathematics and Statistics in Baltimore United States | Johns Hopkins University

The Department of Applied Mathematics and Statistics offers comprehensive teaching and research initiatives across contemporary applied mathematics. Its Probability/Statistics curriculum encompasses stochastic theory, random processes, along with practical and theoretical statistical methods. The Operations Research/Optimization track features studies in both continuous and discrete optimization techniques, numerical optimization methods, network algorithms, and strategic game theory. Discrete Mathematics coursework involves combinatorial mathematics, graphical network analysis, cryptographic systems, and error-correcting codes. The Scientific Computing program focuses on computational techniques, numerical methods, matrix computations, and system modeling approaches. Collectively, these programs stress rigorous mathematical thinking, computational modeling techniques, generalized abstraction, creative mathematical applications, and novel methodological development.