Professional Applied and Computational Mathematics (M.S.)
Admission Requirements
- 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.
Program Requirements
Code | Title | Credit Hours |
---|---|---|
Required Analytical Mathematical Modeling (9 credit hours) | 9 | |
Select any nine credit hours from the following: | ||
MATHEMATICAL MODELING AND APPLICATIONS I (1) | ||
MATHEMATICAL MODELING AND APPLICATIONS II (1) | ||
MATHEMATICAL MODELING AND APPLICATIONS III (1) | ||
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) | ||
SPREADSHEETS AND DATABASES FOR MATH (1) | ||
STATISTICAL AND DATA ANALYSIS SOFTWARE FOR MATH AND SCIENCE PROFESSIONALS (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) | 9-11 | |
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) | ||
MATHEMATICS OF FINANCE I: MODELING, ANALYSIS AND NUMERICAL METHODS (1) | ||
MATHEMATICS OF FINANANCE II: MODELING, ANALYSIS AND NUMERICAL METHODS (1) | ||
LOGISTIC REGRESSION (1) | ||
SURVIVAL ANALYSIS (1) | ||
TIME SERIES ANALYSIS AND FORECASTING (1) | ||
Required Business Intelligence and Data Analytics (9 credit hours) | 9 | |
Select one from each area: | ||
Business Communication | ||
COMMUNICATION STRATEGIES FOR MATH AND SCIENCE PROFESSIONALS | ||
Project Management | ||
PROJECT MANAGEMENT FOR MATH AND SCIENCE PROFESSIONALS | ||
Other Topics | ||
INTRODUCTION TO DATA SCIENCE AND ANALYTICS | ||
DATA ORIENTED COMPUTING AND ANALYTICS | ||
DATA STRATEGY AND GOVERNANCE | ||
GEOSPATIAL PROGRAMMING | ||
OPERATIONS MANAGEMENT (ADVANCED SYSTEMS ANALYSIS) | ||
LEADERSHIP IN ORGANIZATIONS | ||
MANAGEMENT PRACTICES AND TECHNIQUES | ||
Internship (3 credit hours) | 3 | |
INTERNSHIP IN APPLIED AND COMPUTATIONAL MATHEMATICS | ||
Total Credit Hours | 30 |