Admissions Requirements

  • You must meet the general admission requirements that pertain to all master’s degree candidates.
  • Your prior education must include the following prerequisite:

    • Single variable and multivariable calculus (sometimes called calculus I, II, and III) and at least one mathematics course beyond multivariable calculus (such as advanced calculus, differential equations, or linear algebra);


    • Familiarity with at least one semester/term (or equivalent employment-based proficiency) in a 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 enroll 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.

Degree 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.
Core Courses
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 ( 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.

Academic Calendar

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 a master's degree, consider pursuing a graduate certificate as an option. You can earn a certificate in 4 courses and put credits towards your master's degree. Or, if you already have a master's degree in applied and computational mathematics or a closely related field, a post-master's certificate can broaden your expertise.

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.