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

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 Hours30