Professional Applied and Computational Mathematics (M.S.)
Master of Science Program
Program Code: MS-NS
Major Code: ACM
Buckham A238 (716) 878-5621
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 core courses are broken up into 1-credit modules that will be updated as needed to keep the program current. Also this format allows for more flexible scheduling, including night or weekend classes, and summer or J-Term sessions.
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).
- Bachelor’s degree with a minimum cumulative GPA of 3.0 (4.0 scale) in the last 60 credit hours.
- If minimum requirements are not met, the graduate faculty may grant an applicant conditional admission to the program as a premajor if the applicant has a minimum cumulative GPA of 2.5 (4.0 scale) in the last 60 credit hours. If accepted to the premajor, the applicant must obtain a 3.0 or higher in the first semester and then reapply to the major (no additional application fees are required).
- The following mathematics courses completed: Single and Multivariable Calculus; Differential Equations; Linear Algebra; Discrete Mathematics; Calculus-based Probability; Calculus-based Statistics.
- Students must demonstrate knowledge of a standard programming language such as C++, Java, Fortran, Maple, or Mathematica.
- An interview with PACM faculty. In addition, all applicants should review the Admission to Graduate School section.
|Required Analytical Mathematical Modeling (9 credit hours)|
|CONTINUOUS FOUNDATIONS OF APPLIED MATHEMATICS FROM A PROBLEM SOLVING PERSPECTIVE (1)|
|DISCRETE FOUNDATIONS OF APPLIED MATHEMATICS FROM A PROBLEM SOLVING PERSPECTIVE (1)|
|COMPUTATIONAL FOUNDATIONS OF APPLIED MATHEMATICS FROM A PROBLEM SOLVING PERSPECTIVE (1)|
|OPTIMIZATION OF DISCRETE MODELS (1)|
|EMPIRICAL MODEL BUILDING (1)|
|MODELING CHANGE WITH DYNAMICAL SYSTEMS (1)|
|NUMERICAL LINEAR ALGEBRA (1)|
|EIGENVALUE PROBLEMS (1)|
|NUMERICAL CALCULUS (1)|
|Required Statistical Data Analysis (9-11 credit hours)|
|LINEAR REGRESSION AND CORRELATION (1)|
|DESIGN AND ANALYSIS OF EXPERIMENTS (1)|
|NONPARAMETRIC STATISTICS (1)|
|RANDOM WALKS AND BROWNIAN MOTION (1)|
|MARKOV CHAINS (1)|
|CONTINUOUS-TIME STOCHASTIC PROCESSES (1)|
|MARKOV CHAIN MODELS IN CREDIT RISK MANAGEMENT (1)|
|LOGISTIC REGRESSION (1)|
|SURVIVAL ANALYSIS (1)|
|TIME SERIES ANALYSIS AND FORECASTING (1)|
|Required Business Intelligence and Data Analytics (9 credit hours)|
|Select one from each area:||9|
|COMMUNICATION STRATEGIES FOR MATH AND SCIENCE PROFESSIONALS|
|PROJECT MANAGEMENT FOR MATH AND SCIENCE PROFESSIONALS|
|INTRODUCTION TO DATA SCIENCE AND ANALYTICS|
|DATA ORIENTED COMPUTING AND ANALYTICS|
|DATA STRATEGY AND GOVERNANCE|
|OPERATIONS MANAGEMENT (ADVANCED SYSTEMS ANALYSIS)|
|LEADERSHIP IN ORGANIZATIONS|
|MANAGEMENT PRACTICES AND TECHNIQUES|
|Internship (3 credit hours)|
|INTERNSHIP IN APPLIED AND COMPUTATIONAL MATHEMATICS|
|Total requirements 30 cr|