The minor in applied mathematics and statistics should be attractive to students majoring in a variety of disciplines, in both the School of Engineering and the School of Arts and Sciences. The minor provides formal recognition of the depth and strength of a student’s quantitative knowledge beyond the minimal requirements of his/her major.
The requirements of the minor in applied mathematics and statistics are the following:
- Completion of an approved program of study containing at least 18 credits in courses coded Quantitative Studies. The first two courses in calculus (AS.110.106 Calculus I (Biology and Social Sciences) and AS.110.107 Calculus II (For Biological and Social Science) or AS.110.108 Calculus I (Physical Sciences & Engineering) and AS.110.109 Calculus II (For Physical Sciences and Engineering) or their equivalents) may not be used to fulfill this requirement.
- Among the courses comprising the 18 Q credits, there must be
- at least four courses in the Department of Applied Mathematics and Statistics (each of these must be a 3- or 4-credit course); and
- at least three 3- or 4-credit courses coded Q at the 300-level or above, of which at least two must be in the Department of Applied Mathematics and Statistics; and
- an approved semester course based on a high-level computer language chosen from the list below or one of the courses approved to meet the AMS Master's/PhD Computing Requirement.
Course List Code Title Credits Select one of the following: 3-4 Introduction to Computing Introduction to Mathematical Computing Scientific Computing with Python Numerical Linear Algebra Scientific Computing: Differential Equations Scientific Computing: Differential Equations in Vector Spaces Mathematical Modeling and Consulting Applied Statistics and Data Analysis Monte Carlo Methods Introduction to Data Science Financial Computing in C++ Computational Molecular Medicine Computing for Applied Mathematics Mathematical Image Analysis Civil Engineering Programming Biological Models and Simulations
and Nonlinear Dynamics of Biological Systems
Machine Learning Machine Learning: Deep Learning
- All courses used to meet AMS departmental minor requirements must be taken for a letter grade and passed with grade of C- or higher.
- Students may not count all 3 courses, EN.553.310 Probability & Statistics for the Physical Sciences & Engineering/EN.553.311 Probability and Statistics for the Biological Sciences and Engineering, EN.553.420 Introduction to Probability, and EN.553.430 Introduction to Statistics toward minor requirements.
- A student wishing to complete a minor in applied mathematics and statistics may obtain more information from the Applied Mathematics and Statistics Department office.