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Dec 05, 2025
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2025-2026 Graduate Catalog
Computational and Applied Mathematics MS
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The demand for a professional labor force skilled in data analysis and statistical methods, alongside scientific computation and other applied mathematics techniques, and has grown tremendously over the last decade, and all indications are that such growth will further accelerate in the near future. The UB Department of Mathematics Master of Science (MS) Degree Program in Computational and Applied Mathematics provides students with the skills required to enter the 21st-century professional workforce, thus making them highly employable in various industries based locally, nationwide, and worldwide.
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Flexible concentration areas
Students completing the MS program will have acquired highly marketable techniques involving networks, complex systems, machine learning and data analysis alongside more traditional topics such as probability, statistics, computational methods and other applied mathematics methods. The MS program includes three tracks:
- Applied Probability and Statistics
- Computation (including high-performance computing, data-intensive computing, and data science)
- Complex Systems (including network science)
Applied Probability & Statistics Track
Applied Probability & Statistics Required Core (24 credits)
Applied Probability & Statistics Electives (9 credits)
Select 3 from: Or another graduate level course with approval by the Program Director. Culminating Experience: Project (0 credits)
- completed in required course MTH 589
Total Credit Hours: 33
3.0 Degree GPA required Computation Track Required Core (24 credits)
Computation Track Electives (9 credits)
Select 3 from: Or another graduate level course with approval by the Program Director. Culminating Experience: Project (0 credits)
- completed in required course MTH 589
Total Credit Hours: 33
3.0 Degree GPA required Complex Systems Track Required Core (24 credits)
Complex Systems Track Electives (9 credits)
Select 3 from: Or another graduate level course with approval by the Program Director. Culminating Experience: Project (0 credits)
- completed in required course MTH 589
Total Credit Hours: 33
3.0 Degree GPA required Program Learning Outcomes (PLOs)
1) Understand and be able to apply fundamental analytical techniques to study scientific and technological problems; 2) Formulate, recognize and analyze mathematical models arising in various scientific and technological applications; 3) Understand and be able to apply concepts governing randomness in scientific and technological applications; 4) Understand and be able to apply computational techniques to solve a variety of problems arising in common scientific and technological applications; 5) Acquire problem solving skills and research skills. SED Statement
This program is officially registered with the New York State Education Department (SED). |
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