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Mathematics Area (Data Analytics Track) – Bachelor of Science

Program Competencies

The student exiting the programs in the mathematical sciences will:

  1. Analyze and solve problems in the areas of algebra, analysis, statistics and geometry. The student should be able to work individually and as a member of a team. Depending on the program emphasis, the student should possess the concept comprehension skills mentioned above at a sufficient level of expertise to function successfully as a teacher of mathematics, as a contributing member in business or industry, or as a graduate student pursuing an advanced degree in mathematics or statistics.

  2. Use technology as an aid in the solution of problems. Specifically, the student should be able to write and effectively use programs for computers and graphing calculators.

  3. Develop appropriate learning skills to foster the investigation of mathematical ideas and direct his/her own learning.

  4. Communicate the mathematical ideas learned in the program to others. This ability should exist in both written and oral forms of communication.

Assessment

  1. Senior capstone and thesis.
  2. Survey of graduates.
  3. Exit interviews.
  4. Major Field Achievement Test.

Program Requirements

General Education

General Education Courses(See GNED Course Listings)

Variable
MATH 175Calculus I

4
Total Credit Hours:34

Refer to the General Education section for a complete listing of general education requirements for the University. Program requirements that are also general education requirements will count in both places (as applicable).

Area Requirements

Math Core Requirements

MATH 170Introduction to Computer Science

4
MATH 175Calculus I

4
MATH 195Mathematical Communication I

1
MATH 275Calculus II

4
MATH 276Calculus III

4
MATH 295Mathematical Communication II

1
MATH 300Introduction to Mathematical Proofs

3
MATH 301Elementary Linear Algebra

3
MATH 308Discrete Mathematics

3
MATH 312Numerical Methods

3
MATH 315Functions and Modeling

3
MATH 363Differential Equations

3
MATH 365Introduction to Mathematical Statistics

3
MATH 410Introduction to Real Analysis

3
MATH 450Modern Algebra

3
MATH 499CCapstone and Senior Thesis I

2
MATH 499DCapstone and Senior Thesis II

1
Total Credit Hours:48

Data Analytics Track Requirements

ETM 319Quality and Reliability Engineering

3
MATH 355Operations Research

3
MATH 419Probability

3
MATH 420Mathematical Statistics

3
MATH 453Concepts in the Design of Experiments

3
MATH 455Linear Statistical Models

3
MATH 456Nonparametric Statistics

3
CIS 205Introduction to Programming - C++

3
CS 303Data Structures

3
CS 310Algorithms and Advanced Data Structures

3
CS 420Data Mining Concepts

3
CS 430Machine Learning

3
Total Credit Hours:36

Take six hours (two semesters) from the following:

MATH 385Mathematics in Business, Industry, and Government

3
Total Credit Hours:6

Total Credit Hours: 120