A Certificate in Applied Data Analytics provides an introduction to using data to create actionable insight for decision making. The certificate prepares students to use basic analysis methods to understand and prepare the data, conduct descriptive, diagnostic, and predictive analysis on the data, and evaluate the ethical considerations of collecting and disseminating data and information. The curriculum includes R and SQL languages to prepare and analyze data and produce basic data visualizations. Throughout the curriculum, students have opportunities to select their data and choose problems they wish to study to apply their unique expertise to study relevant data and generate meaningful insights. All courses in the certificate program may be applied to the full master's degree.
Contact Information
Learning Outcomes
- Evaluate business challenges and formulate questions leading to solutions
- Apply modern techniques to retrieve and prepare data for analysis
- Select and apply proper tools and analytical models
- Integrate ethical considerations in data collection and reporting
Requirements
Students must achieve the following program requirements for all courses listed under Program Requirements and Program Required Courses for the Applied Data Analytics certificate.
Program Requirements
Certificate Credits: 12
Minimum GPA: 3.0
Minimum Grade: C
Foundational/Prerequisite Course Requirement: Inferential Statistics
Program Required Courses
| Code | Title | Credits |
|---|---|---|
| CIS 6105 | Data Analytics for Decision Making | 3 |
| CIS 6107 | Data Storage and Retrieval | 3 |
| CIS 6110 | Applications of Data Analytics | 3 |
| CIS 6113 | Legal and Ethical Considerations of Information Technologies | 3 |
| Total Credits | 12 | |
Degree Requirements
To graduate from The College of St. Scholastica, graduate students must meet the following minimum degree requirements.
Minimum GPA: 3.0