The Data Analytics minor at St. Scholastica supplements any major by providing the ability to conduct data analysis. Students in this minor conduct qualitative analysis and apply evaluative and predictive models to produce actionable information. In addition to developing skills, students learn to present information in an effective and meaningful way.
Depending on the students' major, graduates completing this minor are prepared for positions such as a data analyst, business analyst, financial analyst, market analyst, research analyst, or any other position requiring the ability to work with data to make better decisions.
Content Information
cis@css.edu
Learning Outcomes
Upon completion of the undergraduate minor in Data Analytics at The College of St. Scholastica, the student will be able to:
- Design and interact with relational databases.
- Select and apply statistical methods in the analysis of data.
- Use data analysis tools and algorithms to extract and analyze data from multiple sources.
- Identify and communicate contextualized meaning from the analysis of structured and unstructured data.
Requirements
Students must achieve the following program requirements for all courses listed under Program Requirements and Program Required Courses for the Data Analytics minor.
Program Requirements
Minor Credits: 24
Program Required Courses
Course List
| Code |
Title |
Credits |
| CIS 1001 | Computer Science Principles | 4 |
| or CIS 3205 | Information Systems |
| CIS 3107 | Database Modeling | 4 |
| CIS 3115 | Machine Learning for Data Science | 4 |
| CIS/ART 3005 | Data Storytelling: The Ethics and Aesthetics of Data Visualization | 4 |
| FIN 3550 | Business Statistics | 4 |
| or MTH 2442 | Introduction to Data Analysis and Applied Statistics |
| or PSY 3331 | Statistics |
| or MTH 4411 | Probability and Statistics I |
| MTH 2442 | Introduction to Data Analysis and Applied Statistics 1 | 4 |
| or MGT 3130 | Business Research & Decision-Making |
| or HIM 4415 | Health Data Analytics |
| Total Credits | 24 |
