Data Science and Analysis BS, Supply Chain Analytics Emphasis
General Education Requirements
Students must satisfy the university general education requirements. Many of the courses for the degree may be used to fulfill math proficiency, information literacy, social science, and math and life/natural sciences requirements. The program recommends students take ENGL 3130 Technical Writing or ENGL 3120 Business Writing to satisfy the Junior-Level Writing requirement. Emphasis areas may require one of these courses. There is no foreign language requirement for the degree.
Satisfactory/Unsatisfactory Option
Courses required for the major may not be taken on a satisfactory/unsatisfactory basis.
Degree Requirements
The BS in Data Science and Analysis consists of a set of core courses along with an emphasis area. Students must earn a minimum grade of C- in all core courses and emphasis area courses.
Core Courses
| Calculus Course | ||
| MATH 1800 | Analytic Geometry and Calculus I 1 | 3-5 |
| or MATH 1100 | Basic Calculus | |
| Statistics Course | 3 | |
| The Introduction to Statistics course should align with the student's Discipline Emphasis Area. | ||
| Choose one of the following: | ||
| Quantitative Data Analysis in Social Science Research | ||
| Biostatistics | ||
| Economic Data and Statistics | ||
| Statistical Analysis in Criminology and Criminal Justice | ||
| Introduction to Probability and Statistics | ||
| Psychological Statistics | ||
| Political Analysis | ||
| Business Analytics and Statistics | ||
| Additional Required Courses | ||
| MATH 4005 | Exploratory Data Analysis with R | 3 |
| CMP SCI 1250 | Introduction to Computing | 3 |
| CMP SCI 4200 | Python for Scientific Computing and Data Science | 3 |
| CMP SCI 4342 | Introduction to Data Mining 2 | 3 |
| or MATH 4250 | Introduction to Statistical Methods in Learning and Modeling | |
| Total Hours | 18-20 | |
- 1
Students interested in the Computer Science emphasis area, the Mathematics Emphasis Area, or in taking additional mathematics courses should take MATH 1800.
- 2
MATH 4250 is available for Mathematics Emphasis Area students.
Emphasis Area Requirements
| SCMA 3301 | Introduction to Supply Chain Management | 3 |
| SCMA 3320 | Advanced Supply Chain and Operations Management | 3 |
| SCMA 4330 | Business Logistics | 3 |
| SCMA 4331 | Applied Supply Chain Modeling | 3 |
| SCMA 4350 | Prescriptive Analytics and Optimization | 3 |
| Choose one of the following: | 3 | |
| Predictive Analytics and Data Mining | ||
| Internship in Supply Chain and Analytics | ||
| Seminar in Supply Chain Management and Analytics 1 | ||
| Supply Chain Management Practicum | ||
| Advanced Topics in Supply Chain and Analytics 1 | ||
| Total Hours | 18 | |
- 1
Students must complete 3 credit hours in order to count the course as an elective.
Learning Outcomes
Upon completion of the program, graduates will be able to:
- Apply knowledge of statistical data collection, analysis and quantitative modeling techniques
- Demonstrate proficiency in industry-standard programming languages that support data acquisition, retrieval and analysis
- Select, apply and build data-based models and visualizations to devise solutions to data science problems
- Effectively communicate technical results and recommendations in various formats to appropriate audiences
- Reformulate problems or question in relevant mathematical terms
- Solve multivariable problems which involve algebra or calculus
- Apply statistical concepts and data science methods to analyze real-world problems using appropriate mathematical processes and techniques