Data Analysis (B.A.)
The Bachelor of Arts in Data Analysis program emphasizes the application of domain expertise to craft insightful and ethical data-driven narratives and decisions. This interdisciplinary program incorporates coursework from more than five distinct departments across the campus. Students are also required to pursue at least one minor (or major) alongside their data analysis major to gain essential domain proficiency. Such expertise is crucial for contextualizing data, ensuring accurate interpretation, recognizing patterns, and tackling real-world challenges effectively.
Integrated Studies Requirements
40 credits minimum
| Code | Title | Credits |
|---|---|---|
| Major Requirements (42 credits plus academic minor) | ||
| Foundational Courses | ||
| Introductory Statistics | ||
| Select one of the following: | 4 | |
| Introductory Statistics | ||
| Quantitative Decision-Making | ||
| Psychological Statistics | ||
| Programming | ||
| ISCS-210 | Python Programming | 4 |
| Ethics | ||
| Select one of the following: | 4 | |
| Digital Comm Law & Ethics | ||
| Ethics | ||
| Journalism Law & Ethics | ||
| Professional Writing and Communication | ||
| Select one of the following: | 4 | |
| Digital Comm Law & Ethics | ||
| Media Writing Fundamentals | ||
| Multimedia Fundamentals | ||
| Workplace Comm & Writing | ||
| Public Speaking | ||
| Classical Rhetoric for Writers | ||
| Graphic Design | ||
| IAART-105 | Graphic Design Process | 4 |
| Advanced Data Analysis Courses | ||
| CS-480 | Machine Learning | 4 |
| IIPHYS-342 | Data Analysis for Scientists | 4 |
| ISCS-340 | DB Applications & Programming | 4 |
| ISMGT-383 | Applied Data Analysis & Vis | 4 |
| MATH-341 | Applied Statistics | 4 |
| Capstone Course | ||
| MGT-384 | Data Analytics Portfolio Plus | 2 |
| Related Minor | ||
| Minor required to obtain domain knowledge in a particular field. Any minor will meet this requirement with the exception of the Data Analytics minor. Alternatively, the minor requirement can be met by a second major. | ||
| Total Credits | 42 | |
Electives
Select courses to reach a total of 120 credits for the degree.
Degree Requirements
120 credits
40 credits at the upper-level
Students will gain experience with various data types, including numerical, categorical, and image.
Students who have gone through the Data Analysis major will:
- Attain appropriate domain knowledge of a topic.
Students will gain experience with various data types, including numerical, categorical, and image.
Students will gain experience with various data types, including numerical, categorical, and image.
Students who have gone through the Data Analysis major will:
- Explore and be exposed to different data tools, software, and platforms.
- Learn ethical and good use of data.
- Incorporate effective visualizations.
- Gain skills in graphical and data literacy.
- Master storytelling with data.
Students will gain experience with various data types, including numerical, categorical, and image.
Students who have gone through the Data Analysis major will:
Students who have gone through this major will:
- Apply appropriate data analysis techniques.