The ACMS program is structured into a core and a set of options. The same set of core courses is required for all options (with some exceptions). Students declaring an ACMS major need to choose an option at that time. Options come in two varieties: associated with a particular application domain, or with a particular area of specialization in the mathematical sciences.


Biological and Life Sciences

Application of mathematical modeling and computation is paving the way for great strides in our understanding of basic biological phenomena. Training in the mathematical sciences is becoming essential for modern research in a wide variety of biological and medical disciplines, including developmental biology, genetics and genomics, ecological modeling, physiology, and biomechanics. The Biological and Life Sciences option focuses on basic techniques of mathematical modeling and computation that are employed in these disciplines. It is also ideal as a second major for students in the Biological and Life Sciences. Program Requirements

Mathematical Economics

Mathematical and statistical models are becoming increasingly important as tools for prediction and analysis in the business world. Students choosing the Mathematical Economics option will acquire a solid foundation in applied and computational mathematics as well as a grounding in economic theory. It is also ideal as a second major for students in Economics who want more mathematical training, especially those preparing for graduate school, since the academic field of Economics relies heavily on mathematical and statistical modeling. Program Requirements

Social and Behavioral Sciences

Solving complex problems in the social and behavioral sciences requires sophisticated approaches to gathering and analyzing large amounts of data. Creating mathematical models useful in prediction and analysis relies on a broad range of mathematical techniques including graph theoretical analysis, Markov chains and other stochastic processes, or differential equations. The Social and Behavioral Sciences option provides a foundation in commonly-used statistical and computational techniques followed by flexibility in pursuing different sets of advanced courses. It is also ideal as a second major for students in social sciences who want to obtain more background in quantitative methods and mathematical techniques. Program Requirements

Engineering and Physical Sciences

Mathematical models form the basis for much of our understanding of the physical world and are used to predict and analyze complex phenomena. Theoretical and computational linear algebra, Fourier analysis, and differential equations are particularly important since they are essential in modeling mechanical systems, heat transfer, fluid dynamics, and wave motion of all kinds (electromagnetic, sound, seismic, water waves, etc.). The Engineering and Physical Sciences option exposes students to these classical areas of applied mathematics. It is also ideal as a second major for students in engineering or a physical science. Program Requirements

Discrete Math and Algorithms

This option gives students a broad background in mathematics and computation with special emphasis on discrete mathematics and its application to optimization and algorithm design. It is particularly well suited for students who are interested in mathematical aspects of Computer Science, or who wish to pursue an ACMS / CSE double major. Program Requirement

Scientific Computing and Numerical Algorithms

Computer simulation is heavily used in science and engineering as a tool in analysis, visualization, and design. Complex mathematical models can give very accurate prediction of real-world phenomena, but typically lead to equations that can only be solved with the aid of a computer. The Scientific Computing and Numerical Algorithms option focuses on the design, mathematical analysis, and efficient implementation of numerical algorithms for such problems. Program Requirements

Data Sciences and Statistics

The ACMS Data Sciences and Statistics option is designed with strong Statistics and Modeling components.  The track incorporates coursework in Computation, Statistics and Machine Learning, Databases and Data Visualization, as well as topics related to science and society.  This option is unique in its double emphasis on Statistics and Modeling & Scientific Computing.  Our graduates will have a unique blend of skills to build models for data, use them efficiently, and interpret them statistically. Program Requirements