Mathematics (B.S.)
Required course work includes the university requirements (see regulation J3) and:
Basic Courses:
Analytic Geometry and Calculus I (4 cr) 

Analytic Geometry and Calculus II (4 cr) 

Analytic Geometry and Calculus III (3 cr) 

Linear Algebra or 

Advanced Linear Algebra (3cr) 
And one of the following options:
A. General Option
This is the traditional curriculum in Mathematics. It is more mathematically rigorous than the other options. It is especially good for secondary education majors and students intending to go to graduate school in Mathematics or other sciences.
Math Courses:
Introduction to Higher Mathematics (3 cr) 

Ordinary Differential Equations (3 cr) 

Abstract Algebra (3 cr) 

Abstract Algebra or 

Introduction to Analysis 2 (3 cr) 

Introduction to Analysis 1 (3 cr) 
One of the following (910):
Three credits in Math electives numbered above 310 and six additional credits chosen from Math 385, ECE 455, Stat 431, or any Math course numbered above 400.
or
EDCI 401 plus an additional nine credits chosen from ECE 455, Stat 301, Stat 431, or any Math elective numbered above 310.
Supporting Courses:
Engineering Physics I (3 cr) 

Engineering Physics II (3 cr) 

Statistical Methods or 

Probability and Statistics (3 cr) 
Courses to total 120 credits for this degree
B. Applied  Statistics Option
The emphasis is on the design and analysis of experiments. With a major or minor in another department this is an excellent preparation for work in industry or for graduate school in Statistics.
Math Courses:
Probability Theory (3 cr) 

Mathematical Statistics (3 cr) 
At least two courses from the following (6 cr):
Analysis of Algorithms (3 cr) 

Discrete Optimization (3 cr) 

Numerical Methods (3 cr) 

Numerical Linear Algebra (3 cr) 

Introduction to Analysis 1 (3 cr) 

Introduction to Analysis 2 (3 cr) 
Supporting Courses:
Introduction to Problem Solving and Programming or 

Computer Science I (34 cr ) 

SAS Programming (3 cr) 

Statistical Analysis (3 cr) 
One course selected from the following (34 cr):
Statistical Methods (3 cr) 

Probability and Statistics (recommended) (3 cr) 
At least two courses from the following (6 cr):
Quantitative Economics and Forecasting (3 cr) 

Stochastic Models (3 cr) 

Sample Survey Methods (3 cr) 

Experimental Design (3 cr) 

Regression (3 cr) 

Nonparametric Statistics (3 cr) 

Multivariate Analysis (3 cr) 

Statistical Ecology (3 cr) 
Approved electives in fields where statistics is applied (not to be in Statistics (Stat) courses) (6 cr)
Courses to total 120 credits for this degree
C. Applied  Computation Option
The emphasis is on the mathematics related to computer science and technology. With a major or minor in computer sciences this is a good preparation for work in the computer industry.
Math courses:
Discrete Mathematics (3 cr) 

Ordinary Differential Equations (3 cr) 

Theory of Computation (3 cr) 

Analysis of Algorithms (3 cr) 

Numerical Methods or 

Numerical Linear Algebra (3 cr) 
One of the following (3 cr):
Information and Coding Theory (3 cr) 

Linear Optimization (3 cr) 

Discrete Mathematics II (3 cr) 

Probability and Statistics (3 cr) 

Statistical Analysis (3 cr) 
Any 400level Math course
Three additional courses from the following (9 cr):
Cryptography (3 cr) 

Discrete Optimization (3 cr) 

Numerical Methods (3 cr) 

Advanced Linear Algebra (3 cr) 

Numerical Linear Algebra (3 cr) 

Probability Theory (3 cr) 

Abstract Algebra (3 cr) 

Abstract Algebra (3 cr) 

Combinatorics (3 cr) 

Partial Differential Equations (3 cr) 
Supporting courses:
Computer Science I (4 cr) 

Computer Science II (4 cr) 
Courses to total 120 credits for this degree
D. Applied – Scientific Modeling Option
The emphasis is on the mathematics used to model phenomena in the sciences. With a second major in a science this provides ideal preparation for graduate school.
Math courses:
Ordinary Differential Equations (3 cr) 

Probability Theory (3 cr) 
One of the following (3 cr):
Information and Coding Theory (3 cr) 

Mathematical Biology (3 cr) 

Ecological Modeling (3 cr) 
Five additional courses from the following (15 cr):
Signals and Systems I (3 cr) 

Signals and Systems II (3 cr) 

Information and Coding Theory (3 cr) 

Linear Optimization (3 cr) 

Mathematical Physics (3 cr) 

Discrete Mathematics II (3 cr) 

Cryptography (3 cr) 

Complex Variables (3 cr) 

Discrete Optimization (3 cr) 

Numerical Methods (3 cr) 

Numerical Linear Algebra (3 cr) 

Mathematical Biology (3 cr) 

Mathematical Statistics (3 cr) 

Stochastic Models (3 cr) 

Introduction to Analysis 1 (3 cr) 

Introduction to Analysis 2 (3 cr) 

Combinatorics (3 cr) 

Partial Differential Equations (3 cr) 

Probability and Statistics (3 cr) 

Ecological Modeling (3 cr) 
Supporting courses:
Introduction to Problem Solving and Programming or 

Computer Science I (34 cr) 

Probability and Statistics or 

Mathematical Statistics (3 cr) 
Two courses at the 300 level or above in one area of science, engineering, or other quantitative area.
Courses to total 120 credits for this degree
E. Applied  Actuarial Science and Finance Option
This curriculum provides the background to become an actuary and work in the insurance industry, or to work in finance.
Math courses:
Ordinary Differential Equations (3 cr) 

Probability Theory (3 cr) 

Mathematical Statistics (3 cr) 
Three additional courses chosen from Math courses numbered above 400 or Stat 422 (9 cr)
Supporting courses:
Introduction to Financial Accounting (3 cr) 

Introduction to Managerial Accounting (3 cr) 

Financial Management or 

Product and Process Planning (3 cr) 

Introduction to Problem Solving and Programming or 

Computer Science I (34 cr) 

Principles of Economics (3 cr) 

Principles of Economics (3 cr) 

Statistical Methods or 

Probability and Statistics (preferred) (3 cr) 

SAS Programming or 

Statistical Analysis (3 cr) 

Spreadsheet Modeling (13 cr) 
At least three courses selected from the following (79 cr):
Intermediate Financial Management (3 cr) 

Insurance (3 cr) 

International Finance (3 cr) 

Security Analysis (3 cr) 

Portfolio Management (3 cr) 

Derivatives and Risk Management (3 cr) 

Introduction to Market Trading (3 cr) 

Intermediate Macroeconomic Analysis (3 cr) 

Intermediate Microeconomic Analysis (3 cr) 

Applied Actuarial Science (1 cr) 
One course selected from the following (3 cr):
Quantitative Economics and Forecasting (3 cr) 

Econometrics (3 cr) 

Regression (3 cr) 
Courses to total 120 credits for this degree
F. Applied  Operations Research Option
The emphasis is on the mathematics used in the modeling and analysis of problems from business and industry.
Math courses:
Linear Optimization (3 cr) 

Discrete Optimization (3 cr) 

Probability Theory (3 cr) 

Stochastic Models (3 cr) 

Combinatorics (3 cr) 
At least one course from the following (3 cr):
Ordinary Differential Equations (3 cr) 

Discrete Mathematics II (3 cr) 

Mathematical Statistics (3 cr) 

Statistical Analysis (3 cr) 
Any other 400level math course
Supporting courses:
Introduction to Financial Accounting (3 cr) 

Introduction to Managerial Accounting (3 cr) 

Introduction to Operations Management (3 cr) 

Introduction to Problem Solving and Programming or 

Computer Science I (34 cr) 

Stat 251 
Statistical Methods or 
Probability and Statistics (preferred) (3 cr) 
Four of the following courses (two must be above 400) (12 cr):
Management Information Systems (3 cr) 

Systems Analysis and Design (3 cr) 

Project Management (3 cr) 

Systems and Simulation (3 cr) 

Quality Management (3 cr) 

Operations Planning and Scheduling (3 cr) 

Econometrics (3 cr) 
Courses to total 120 credits for this degree