Data Science and Analysis BS, Social Science 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
| Choose two of the following. Courses must be from at least two subject areas: | 6 | |
| Introduction to Human Evolution | ||
| Introduction to Cultural Anthropology (MOTR ANTH 201) | ||
| Introduction to Archaeology | ||
| Introduction to Criminology and Criminal Justice | ||
| Theories of Crime | ||
| Introduction to American Politics (MOTR POSC 101) | ||
| Introduction to Comparative Politics (MOTR POSC 202) | ||
| Introduction to International Politics (MOTR POSC 201) | ||
| General Psychology (MOTR PSYC 100) | ||
| Introduction to Sociology (MOTR SOCI 101) | ||
| Technology and Society | ||
| Choose one of the following: | 3 | |
| Research Methods in Criminology and Criminal Justice | ||
| Political Analysis | ||
| Research Methods in Psychological Science | ||
| Social Research Methods | ||
| Choose three of the following. Courses must be from two subject areas: | 9 | |
| Laboratory Methods in Archaeology | ||
| Crisis, Disaster, and Risk Communication | ||
| Communication Campaigns | ||
| Public Opinion and Political Participation | ||
| Survey Research Practicum in Political Science | ||
| Industrial and Organizational Psychology | ||
| Psychological Testing and Assessment | ||
| Problems of Urban Community | ||
| Social Mapping for Change | ||
| Survey Research Practicum for Sociology | ||
| Total Hours | 18 | |
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
- Identify and apply appropriate social theories to understand social phenomena
- Critically evaluate explanations of human behavior and social phenomena
- Apply statistical concepts and data science methods to analyze real-world problems in communications, political science, sociology, or psychology