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 their major.
The information below describes the academic requirements for students entering JHU as degree-seeking students in Fall 2024. Students who entered JHU as degree-seeking students prior to Fall 2024 should view the appropriate archived catalogue.
MINOR PREREQUISITES
| Code | Title | Credits |
|---|---|---|
| AS.110.108 | Calculus I (Physical Sciences & Engineering) | 4 |
| or AS.110.106 | Calculus I (Biology and Social Sciences) | |
| AS.110.109 | Calculus II (For Physical Sciences and Engineering) | 4 |
| or AS.110.107 | Calculus II (For Biological and Social Science) | |
| or AS.110.113 | Honors Single Variable Calculus | |
MINOR REQUIREMENTS
A grade of C- or higher is required. No Satisfactory/Unsatisfactory (S/U) grade will be accepted. Courses must be either 3 or 4 credits and may overlap in all the requirements.
The minor in AMS requires 18 Quantitative credits. Details of these requirements are listed below.
| Code | Title | Credits |
|---|---|---|
| 18 Quantitative credits comprised of the following: | ||
At least 4 courses from the AMS department | ||
At least 2 AMS courses with Q area designation at 300-level or higher 1 | ||
At least 1 course with Q area designation at 300-level or higher | ||
One course in Scientific Computing (see below for course listings) 2 | ||
| Total Credits 3 | 18 | |
- 1
Students may count the combination of AS.110.201/212 and AS.110.302 in place of ONE of the required 300-level courses within the AMS Department.
- 2
Students may take one of the courses approved to meet the AMS Master's/PhD Computing Requirement.
- 3
Students may not count all three of the following courses TOGETHER towards the AMS minor requirements: EN.553.311, EN.553.420/620, and EN.553.430/630. (Any two of these three are permitted; indeed, coursework in probability and statistics is highly recommended.)
SCIENTIFIC COMPUTING COURSES
| Code | Title | Credits |
|---|---|---|
| AS.110.445 | Mathematical and Computational Foundations of Data Science | 3 |
| EN.553.385 | Introduction to Computational Mathematics | 4 |
| EN.553.400 | Mathematical Modeling and Consulting | 4 |
| EN.553.413 | Applied Statistics & Data Analysis I | 4 |
| EN.553.432 | Bayesian Statistics | 3 |
| EN.553.436 | Introduction to Data Science | 4 |
| EN.553.450 | Computational Molecular Medicine | 4 |
| EN.553.463 | Network Models in Operations Research | 4 |
| EN.553.481 | Numerical Analysis | 4 |
| EN.553.488 | Computing for Applied Mathematics | 3 |
| EN.553.493 | Mathematical Image Analysis | 4 |
| EN.553.494 | Applied and Computational Multilinear Algebra | 3 |
| EN.601.433 | Intro Algorithms | 3 |
| EN.601.475 | Machine Learning | 3 |
| EN.601.482 | Machine Learning: Deep Learning | 4 |