Department of Mathematics
Bachelor of Science in Applied Statistics
Data Science Option
Student interested in Mathematics for Teacher Licensure, click here.
Curriculum
The matrix below is a sample plan for all coursework required for this program.
- Freshman
Fall Spring ENGL 1013 Composition I1 3 ENGL 1023 Composition II1 3 U.S. History/Government1 3 Fine Arts & Humanities1 3 MATH 1001 Orientation to Mathematics 1 BDA 2003 Business Problem Solving 3 MATH 2914 Calculus I 4 MATH 2924 Calculus II 4 BUAD 2003 Business Information Systems 3 STAT 2303 Statistical Methods 3 Elective2 1 Total Hours 15 Total Hours 16 - Sophomore
Fall Spring Social Sciences1 3 BDA 3053 Business Data Analysis 3 MATH 2703 Discrete Mathematics 3 COMS 2104 Foundations of Computer Programming I 4 MATH 2934 Calculus III 4 MATH 3243 Differential Equations I 3 STAT 3153 Applied Statistics 3 STAT 3113 Regression Analysis 3 Elective3 3 Elective3 3 Total Hours 16 Total Hours 16 - Junior
Fall Spring Fine Arts & Humanities1 3 COMM 2173 Business and Professional Speaking 3 Science with Lab1 4 Science with Lab1 4 COMS 2203 Foundations of Computer Programming II 3 COMS 2213 Data Structures 3 MATH 4003 Linear Algebra I 3 STAT 4153 Experimental Design and Analysis 3 STAT 4163 Mathematical Statistics 3 MATH/STAT Elective3 3 Total Hours 16 Total Hours 16 - Senior
Fall Spring Social Science1 3 MATH 4971 Mathematics Senior Seminar 1 STAT 4113 Categorical Data Analysis 3 COMS Elective4 3 COMS Elective4 3 MATH/STAT Elective3 6 Elective2 3 Elective2 3 Total Hours 12 Total Hours 13
1See appropriate alternatives or substitutions in "General Education Requirements".
2A minimum of 40 credit hours of the 120 total hours required for the B.S. degree must
be 3000-4000 level courses.
3See catalog to assure pre-requisites are met. See advisor to select courses from:
STAT 3183 Statistical Process Control, STAT 4393 Statistical Learning, MATH 4123 Mathematical Modeling, or a MATH/STAT course at the 3000-4000 level approved by advisor.
4See catalog to assure pre-requisites are met. See advisor to select courses from:
COMS 3233 Database Design and Implementation, COMS 3243 Data Mining, COMS 4353 Artificial Intelligence, or a COMS course at the 3000-4000 level approved by advisor.