Professional Applied and Computational Mathematics, M.S.
Professional Applied and Computational Mathematics (PACM) is an innovative Professional Science Master’s (PSM) degree program. This program, a collaboration between Buffalo State and a group of partners from Buffalo and the Western New York area, brings together a diverse interdisciplinary group of active faculty from academia and adjunct faculty and advisory board members from business, industry, non-profit organizations, and government agencies. The goal of the program is to train graduate students for careers in many emerging fields that now demand a new type of workforce with solid and in-depth background in applied and computational mathematics, as well as with effective business and communication skills.
The PACM program consists of 27 credits of academic training in data analysis, mathematical modeling, business communication and management, as well as 3 credits of research internship.
The development of the program was funded by the Alfred P. Sloan Foundation.
The program is recognized as a Professional Science Master’s degree by the Council of Graduate Schools (CGS).
317 Bishop Hall
1300 Elmwood Ave
Buffalo, NY 14222
Phone: (716) 878-5621
Fax: (716) 878-6107
1. Bachelor’s degree with a minimum cumulative GPA of 3.0 (4.0 scale) in the last 60 credit hours.
2. If minimum requirements are not met, the graduate faculty may grant an applicant conditional admission to the program as a premajor.
3. The following mathematics courses completed: Single and Multivariable Calculus; Differential Equations; Linear Algebra; Discrete Mathematics; Calculus-based Probability; and Calculus-based Statistics
4. Students must demonstrate knowledge of a standard programming language such as C++, Java, Fortran, Maple, or Mathematica.
Required credit hours in analytical mathematical modeling 9 cr
ACM 610 Continuous Foundations of Applied Math From a Problem Solving Perspective (1 credit)
ACM 611 Discrete Foundations of Applied Math From a Problem Solving Perspective (1 credit)
ACM 612 Computational Foundations of Applied Mathematics From a Problem Solving Perspective (1)
ACM 620 Optimization of Discrete Models (1 credit)
ACM 621 Empirical Model Building (1 credit)
ACM 622 Modeling Change with Dynamical Systems (1 credit)
ACM 630 Numerical Linear Algebra (1 credit)
ACM 631 Eigenvalue Problems (1 credit)
ACM 632 Numerical Calculus (1 credit)
Required credit hours in statistical data analysis 9-11 cr
ACM 640 Linear Regression and Correlation (1)
ACM 641 Design and Analysis of Experiments (1 credit)
ACM 642 Nonparametric Tests (1 credit)
ACM 650 Random Walks and Brownian Motion (1 credit)
ACM 651 Markov Chains (1 credit)
ACM 652 Continuous-time Stochastic Processes (1 credit)
ACM 660 Logistic Regression (1 credit)
ACM 661 Survival Analysis (1 credit)
ACM 662 Time Series Analysis and Forecasting (1 credit)
Required credit hours in business fundamentals courses 9 cr
One 3 credit course from each area below:
PSM 602 Communication Strategies for Math and Science Professionals
MET 620 Managing Engineering Projects
SPF 688 Leadership in Organizations
SPF 715 Management Practices and Techniques
INT 602 Operations Management
Required credit hours in Project 3 cr
ACM 690 Master’s Project
Total requirements 30 cr
Note: All courses are 3 credit hours unless otherwise indicated.