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Johns Hopkins Whiting School of Engineering MSE in Applied Mathematics and Statistics
Johns Hopkins Whiting School of Engineering

MSE in Applied Mathematics and Statistics

Baltimore, USA

2 Years

English

Full time

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USD 56,313 *

On-Campus

* $75 application fee

Fast-track counseling
By contacting the school, you'll get access to free priority counselling for any study and application questions.

Key Summary

    About: The MSE in Applied Mathematics and Statistics focuses on developing strong analytical skills and applying mathematical techniques to real-world problems. The program is designed for those interested in a blend of mathematical theory and practical applications. Courses cover advanced topics, including statistical modeling, data analysis, and computational methods.
    Career Outcomes: Graduates can pursue diverse career paths such as data analyst, quantitative researcher, or actuarial scientist. Other opportunities may include roles in finance, technology, and academia, where strong mathematical skills are essential.

Introduction

With an emphasis on mathematical foundations and their modeling and numerical counterparts, this MSE in Applied Mathematics and Statistics is staffed with outstanding faculty who are leaders in their field. They are creating interdisciplinary solutions inspired by problems arising in engineering, and the physical, biological, information, and social sciences. In this program, you will explore, answer questions, and be ready to solve problems in a multitude of industries as a professional, including finance, government, law medicine, and national defense.

About the Program

Outstanding faculty who are leading their fields, the opportunities you have to conduct research and apply your knowledge to address critical, cross-disciplinary, real-world problems, and specialized career resources are what make our MSE program in applied mathematics and statistics stand out from the rest. Our wide-ranging academic program has four main areas of focus that reflect our faculty members’ primary strengths and interests:

  • Probability and Statistics
  • Optimization/Operations Research
  • Discrete Mathematics
  • Computational Mathematics

Students in this program also can participate in research and complete a thesis under the supervision of the department’s faculty member of their choice.

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