Applied Data Science Concentration, MS
Applied Data Science, MS
Degree requirements for the M.S. in Applied Data Science are as follows:
| Code | Title | Hours |
|---|---|---|
| ADS 521 | Foundations of Data Science | 3 |
| ADS 524 | Data Analytics | 3 |
| ADS 525 | Machine Learning I: Foundations of Supervised Learning | 3 |
| ADS 526 | Machine Learning II: Unsupervised Learning & Deep Learning | 3 |
| ADS 534 | Statistical Modeling | 3 |
| ADS 653 | Generative AI: Foundations and Applications | 3 |
| ADS 670 | Case Analysis Capstone | 3 |
| Certification Electives 1 | 9 | |
| Total Credits Required: | 30 | |
- 1
Students are required to complete 9 credits to complete one of the following certifications alongside the MS Applied Data Science core:
- Accounting for Decision Makers Certification
- AI-Driven Innovation & Management Strategies Certification
- Conflict Resolution and Negotiation Certification
- Cybersecurity Management Certification
- Finance & Investment Strategies Certification
- Healthcare Administration Certification
- Human Resource Management Certification
- Machine Learning Certification
- Management Certification
- Marketing and Digital Strategies Certification
- Public Accounting Certification
- Quality Systems & Improvement Management Certification
Students may choose to select multiple certifications to complete alongside the MS program. Students receiving financial aid should consult with the Student Financial Services Office if wishing to pursue this opportunity.