A research-oriented master’s in Applied Mathematics and Statistics that strengthens your mathematical foundations and teaches you how to model, compute, and analyze real-world problems. You can pursue thesis work and apply methods across biomedical science, astrophysics, analytics, and machine learning.
The Master’s program in Applied Mathematics and Statistics at Johns Hopkins University is designed for those who aspire to deepen their understanding of mathematical concepts and their applications in real-world scenarios. This research-oriented course emphasizes the modeling, computation, and analysis of complex problems across various fields such as biomedical science, astrophysics, analytics, and machine learning. Students have the opportunity to engage in thesis work, allowing them to explore topics of personal interest under faculty supervision.
Core areas typically include:
Thesis / research requirement:
Electives and advanced study:
While specific GRE/GMAT and GPA thresholds are not outlined, prospective students are encouraged to consult the official program website for the latest entry criteria. A strong academic background in mathematics or related fields is typically expected.
Graduates of the Applied Mathematics and Statistics program are well-equipped to pursue diverse career paths in academia, industry, and government. Potential roles include data analyst, statistician, operations researcher, and roles in data science and machine learning. The analytical skills developed throughout the program prepare students to tackle complex challenges in various sectors, enhancing their employability in a rapidly evolving job market.
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