- You must meet the general admission requirements that pertain to all master’s degree candidates.
Your prior education must include the following prerequisite:
At least one mathematics course beyond multivariate calculus, such as 625.251 – Introduction to Ordinary and Partial Differential Equations OR 625.252 – Linear Algebra and Its Applications,
- Familiarity with at least one programming language (e.g., C, C++, FORTRAN, Java, Python, R, or MATLAB).
- If your prior education does not include the prerequisites listed above, you may still be admitted under provisional status, followed by full admission once you have completed the missing prerequisites. Missing prerequisites may be completed with Johns Hopkins Engineering or, with approval, at another regionally accredited institution.
- A detailed work résumé must be submitted.
- A statement of purpose essay must also be submitted. The essay should be 350–450 words in length and address why you are interested in graduate study in applied mathematics at JHU and how this relates to your subsequent career goals.
- Admitted students typically have earned a grade point average of at least 3.0 on a 4.0 scale (B or above) in the latter half of their undergraduate studies. When reviewing an application, your academic and professional background will be considered.
If you are an international student, you may have additional admission requirements.
- Ten courses must be completed within five years.
- The curriculum consists of four core courses (including a two-term 700-level course sequence) and six electives.
|625.603 Statistical Methods of Data Analysis|
|625.601 Real Analysis
or 625.609 Matrix Theory
|Select one of the following sequences|
|625.717 Advanced Differential Equations: Partial Differential Equations and
625.718 Advanced Differential Equations: Nonlinear Differential Equations and Dynamical Systems (courses may be taken in either order)
|625.721 Probability and Stochastic Process I and
625.722 Probability and Stochastic Process II
|625.725 Theory Of Statistics I and
625.726 Theory of Statistics II
- The six electives must include at least four courses from the Applied and Computational Mathematics (ACM) program (625.xxx) with at least two of the four ACM elective courses at the 700-level. At least one of two 700-level electives must be outside of the core sequences (625.717/625.718, 625.721/625.722, and 625.725/625.726).
- Focus areas are not required for this program.
- Only one C-range grade (C+, C, or C−) can count toward the master’s degree.
- The course 625.800 Independent Study may not be used towards the ACM M.S. if a student also wishes to count 625.801–802 or 625.803–804 towards the M.S. degree.
- Course selections at the 800-level or outside of these core and focus area course lists are subject to advisor approval.
Course Planning and Search
Wondering what course to take when or which courses are required? Use these helpful course planning and course search tools to help map out your path to degree completion.
Find out when registration opens, classes start, transcript deadlines and more. Applications are accepted year-round, so you can apply any time.
Certificate in Applied and Computational Mathematics
If you are not quite ready to commit to another master’s degree, take a look at pursuing our post-master’s certificate option. You can earn this certificate in 5 courses.
Looking to Study On Campus?
As a graduate student in the Department of Applied Mathematics and Statistics, you will be welcomed into a flourishing entrepreneurial culture in a learning environment that balances theory and application.