Program Contact: Jill Shahverdian 203-582-3663
The minor in Applied Statistics and Data Science is available to a student in any major. The six required courses are designed to develop students into critical consumers of data, who can work with data and present data in a way that tells a story, enabling effective decision-making and problem solving. Critical thinkers who can analyze data to help solve organizational problems are already in high demand and future growth is predicted to be robust.
Students who complete this minor will have a toolkit they can use in their daily lives, which can be applied to any field of study or career path.
The minor in Applied Statistics and Data Science requires six courses. Students are required to maintain a GPA of 2.00 or better for all courses used to fulfill the ASDS minor.
| Code | Title | Credits |
|---|---|---|
| DS 110 | Introduction to Data Science | 3 |
| Foundational Mathematics | 3-4 | |
| Probability and Data Analysis | ||
or MA 141 | Calculus of a Single Variable | |
or MA 151 | Calculus I | |
| Introductory Statistics | 3 | |
| Advanced Applied Statistics | ||
or MA 206 | Statistics for the Behavioral Sciences | |
or MA 275 | Biostatistics | |
or MA 285 | Applied Statistics | |
or PS 206 | Introduction to Statistics in Psychology | |
| EC 365 | Econometrics | 3 |
| Electives (take two courses from the following list) | 6 | |
| Advanced Econometrics | ||
| Data, Data Everywhere | ||
| Data Analytics Scenarios | ||
| Intermediate Special Topics | ||
| Tools for Data Science | ||
| Algorithms for Data Science | ||
| Applied Time Series Analysis and Forecasting | ||
| Data Visualization | ||
| Statistical Programming With R | ||
| Total Credits | 18-19 | |