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Build a solid foundation in the application of mathematics across disciplines that require quantitative analysis. Housed in the Department of Mathematics in the College of Arts & Sciences, our program develops strong analytical and problem-solving skills related to computing, mathematics, statistics and basic science.

All students in the Computational Mathematics program, regardless of their track, are encouraged to engage in industrial research opportunities under the guidance of faculty members. Students enrolled in this interdisciplinary major select the Data Science Track or the Engineering Application Track.

Data Science Track

• Designed for students interested in developing expertise in this significant growth area.
• Uses interdisciplinary methods to extract knowledge from large quantities of data.
• Employs techniques drawn from mathematics, statistics and computer sciences.
• Provides students with a strong background in creating data insights to solve real-world problems.
• Offers excellent preparation for Embry-Riddle's Master of Science in Data Science.
• Graduates with data science skills are in high demand for employment.

Engineering Application Track

• Designed for students interested in a variety of computational-intensive project-based classes.
• Appeals to students who double major in computational mathematics and an engineering or physics program.
• Ensures that graduates are competitive on the job market.
• Provides interdisciplinary knowledge in fundamental mathematical sciences.
• Introduces concepts and techniques of computation, optimal decision-making skills, high-performance computing and statistical inference.

• Credits
  120
• Methods of Study
  • In-Person
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