Curriculum & Program Outcomes

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Curriculum

B.S. in Applied Mathematics and Data Science Total Credits
120 crs.

General Education Requirements 
60 crs.
Common Core
12 crs.
ENG110 College Writing
3 crs.
ENG130 Literature and Composition
3 crs.
COM107 Introduction to Communications
3 crs.
CIS112 Introduction to Computing
Students may prove competency by passing a waiver examination. No credit is granted if the requirement is waived.
3 crs.
Liberal Arts
24 crs.
History Elective
3 crs.
Ethics Elective
3 crs.
Social Science Elective
3 crs.
Performance, Written, or Fine Arts Elective
3 crs.
Elective
3 crs.
Elective
3 crs.
Elective
3 crs.
Elective
3 crs.
Math
6 crs.
MAT171 Calculus I
3 crs.
MAT220 Statistics I*
3 crs.
Science
3 crs.
BIO120 Concepts of Biology or
BIO143 General Biology I or
PHY115 Physics I
3 crs.
Open Electives
15 crs.
Electives
15 crs.

Leadership Course
3 crs.
LCS105 Elements of Organizations
3 crs.

Major, Core and Concentrations
51 crs.
Designated Writing Course
3 crs.
MAT311 Principles of Information Presentation
3 crs.
Major Core
24 crs.
CIS200 Programming I
3 crs.
CIS230 Programming II
3 crs.
CIS380 Data Structures and Algorithms
3 crs.
MAT172 Calculus II
3 crs.
MAT223 Statistics II
3 crs.
MAT261 Discrete Mathematics
3 crs.
MAT271 Multivariable Calculus I
3 crs.
MAT460 Mathematics Internship or
MAT490 Mathematics Independent Study
3 crs.
Directed Electives* 
12 crs.
MAT350 - 400 Level Elective
12 crs.
Concentration
12 crs.
Electives
9 crs.
300-400 Level Electives
6 crs.

COLLEGE TO CAREER CORE
6 crs.
CTC101 College Success Seminar
3 crs.
CTC301 Professional Success Seminar
3 crs.

*Four courses MAT 350 or higher or permission of the Academic Department.




BIG DATA CONCENTRATION
12 crs.
CIS342 Cloud Computing and Virtualization
3 crs.
MAT241 Fundamentals of Data Mining
3 crs.
MAT343 Machine Learning
3 crs.
MAT410 Time Series & Econometrics
3 crs.

Life and Physical Science CONCENTRATION
12 crs.
BIO144 General Biology II or
PHY116 Physics II
3 crs.
MAT320 Biostatistics
3 crs.
100-400 Level Directed Science Elective
3 crs.
300-400 Level Directed Science Elective
3 crs.

The university reserves the right to change or update the curriculum at any time. The university will notify students of any changes officially through the university website. 

For full course descriptions please refer to the University Catalog for the current Academic Year.


Programs Outcomes

Upon completion of the B.S. in Applied Mathematics and Data Science degree program, students will be able to:

  • Identify and collect information needed to define problems that require quantitative solutions.

  • Translate information between field-related contexts and mathematical frameworks.

  • Execute mathematical and computer programming processes with proficiency.

  • Formulate, justify, and evaluate data-based decision.

  • Design professional and compelling presentations of quantitative information.