Data Analytics Minor
This interdisciplinary minor prepares students to use data analysis within their careers. Students will develop their skills to evaluate and interpret data in order to make better-informed decisions. In addition, students will develop their visualization and communication skills. The minor’s selective elective courses provide an opportunity to apply the data analytic skills in a specific area of related interest.
| Code | Title | Credits |
|---|---|---|
| Minor Requirements (22 credits) | ||
| Foundational Statistics Course | ||
| Select one of the following: | 4 | |
| Introductory Statistics | ||
| Quantitative Decision-Making | ||
| Psychological Statistics | ||
| Data Analytics Core Course | ||
| IIPHYS-342 | Data Analysis for Scientists (a C or higher is required) | 4 |
| ISMGT-383 | Applied Data Analysis & Vis (a C or higher is required) | 4 |
| Select one from each cluster: (please note some courses have prerequisites) | ||
| Methods and Tools Cluster: | 4 | |
| These courses develop a deeper understanding of techniques and methodologies used in various disciplines for computational background, data acquisition and preliminary analysis. | ||
| Population & Community Ecology | ||
| Quant & Qualitative Methods | ||
| Financial Economics | ||
| Python Programming | ||
| Epidemiology | ||
| Research Meth Psyc | ||
| Sociological Research Meth | ||
| Active Experimentation Cluster: | 4 | |
| These courses use data analysis techniques to focus on problem solving, interpretation, and implementation of scientific decision making. | ||
| Machine Learning | ||
| Econometrics | ||
| Research Methods in Human Movt | ||
| Applied Statistics | ||
| Math Modeling | ||
| Strategic Digital Marketing | ||
| Marketing Research | ||
| Soc Quant Analysis | ||
| Mechatronics and Automation | ||
| Portfolio & Career Course | ||
| MGT-384 | Data Analytics Portfolio Plus | 2 |
| Total Credits | 22 | |
Upon completion of the Data Analytics Minor, students will:
- Gain introductory data analytics skills, including a basic understanding of statistical testing, computer programming and the ability to explore and analyze concepts. The elective courses provide an opportunity to apply the skills in a specific area of interest.
- Analyze data, test claims and draw valid conclusions using appropriate statistical methodology.
- Recognize relationships between data and specific areas of practice such as biology, business, economics, criminal justice, etc.
- Retrieve, organize and visualize data using a variety of analytical tools.
- Recognize patterns, ask intelligent questions and generate insights from different data sets.
- Tell the story with the data - visually, orally, and in writing.
- Develop students’ data analytic identity by creating their data analytics portfolio and experiences using present day tools.