Applied & Computational Mathematics MS
Master of Science in Applied & Computational Mathematics
Is this program right for you?
The MS in Applied & Computational Mathematics is ideal for those seeking employment in a variety of industries — including information technology, finance, engineering, research, and education — or pursuing a PhD degree in the mathematical, statistical or computational sciences.
- Complete the program in as few as 12 months
- Strengthen your foundation in applied mathematics, scientific computing and the mathematics of data through a tailored, focused curriculum
- Build in-demand skills in the fast-growing areas of data science and artificial intelligence
Education that works for you
The MS in Applied & Computational Mathematics equips you with a potent combination of quantitative and computational skills as well as data fluency that will position you well for careers in industry or for advanced studies.
Program type
Master’s degree
Degree awarded
Master of Science in Applied & Computational Mathematics
Commitment
1–2 years
Tuition
$1,500 per credit
Format
Accelerated
Face-to-face
Credits
30 graduate credits
Admission terms
Fall, Spring
Offered by
STEM opt eligible
Yes
Supports F-1 Visa
No
Learn moreApplication deadlines
Spring 2027
- Priority deadline: November 1, 2026
- International deadline: November 1, 2026
Fall 2027
- Priority deadline: March 15, 2027
- International deadline: March 15, 2027
Spring 2028
- Priority deadline: November 1, 2027
- International deadline: November 1, 2027
Your questions, answered
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Admissions and events
Program requirements
Application materials required
There are no upcoming events at this time.
What you’ll learn
Develop proficiency in core graduate-level mathematics, and demonstrate knowledge of mathematical techniques used to solve problems motivated by applications. Learn to apply strategies to real-world problems using mathematical modeling, computational methods and data-driven approaches.
- Quantitative and computational skills
- Data fluency
- Theory and modeling
- Computational methods
- Computational methods
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