MS-ACM Program Requirements

The MS in Applied and Computational Mathematics provides students with a rigorous, modern training in applied and computational mathematics and in the mathematics of data. The program is targeted to students with an undergraduate degree in mathematics or other quantitative disciplines such as computer science, statistics, economics and engineering. Through foundational and advanced coursework, students gain a strong combination of quantitative and computational skills as well as data fluency, positioning them for careers in industry or for advanced studies. Students can satisfy the 30-credit requirement in 12 to 24 months, with accelerated paths supported by relevant summer course offerings. Graduates are well-prepared for roles in information technology, finance, engineering, research, and education – particularly within the rapidly growing sectors of machine learning and artificial intelligence – or to pursue a PhD in the mathematical, statistical, and computational sciences.

Program Structure

The program has requirements for 30 graduate credits.

The core of 18 credits may be chosen from the three categories of (i) theory and modeling, (ii) computational methods and (iii) mathematical data science. The 12 electives may be chosen from a diverse set of mathematical topics including probability; real, complex and stochastic analysis; ordinary and partial differential equations; programming; optimization; machine learning; mathematical statistics; and high-performance computing.