Data Science Generalist Concentration, MS
Master of Science in Applied Data Science
M.S.: Data Science Generalist Concentration Requirements
| Code | Title | Hours |
|---|---|---|
| ADS 521 | Foundations of Data Science | 3 |
| ADS 524 | Data Analytics | 3 |
| ADS 525 | Machine Learning I | 3 |
| ADS 526 | Machine Learning II | 3 |
| ADS 534 | Statistical Modeling | 3 |
| ADS 637 | Data Exploration and Visualization | 3 |
| ADS 638 | Database Systems | 3 |
| ADS 670 | Case Analysis Capstone | 3 |
| Electives | 6 | |
| Total Credits Required: | 30 | |
Electives
| Code | Title | Hours |
|---|---|---|
| ADS 650 | Time Series Analysis | 3 |
| ADS 652 | Text Mining | 3 |
| ADS 654 | Deep Learning | 3 |
| CBY 510 | Foundations of Cybersecurity Management | 3 |
| CBY 515 | Foundations of Data Protection | 3 |
| CIM 605 | Decision Support Systems | 3 |
| MBA 651 | High Performance Management Strategies | 3 |
| MBA 660 | Investment Strategy and Risk Management | 3 |
| MHE 500 | Foundations of Higher Education Administration | 3 |
| MHE 505 | Organization and Decision-Making in Higher Education | 3 |
| MLN 500 | Introduction to the Theory and Practice of Negotiation | 3 |
| MLN 505 | Introduction to Models and Concepts in Leadership | 3 |
| NMP 500 | Foundations of the Nonprofit Sector | 3 |
| NMP 655 | Leadership & Personal Effectiveness | 3 |
Academic Requirements
Note: This schedule reflects the recommended two-year sequence of courses to be taken in fulfillment of the the Master of Science in Applied Data Science with a concentration in Data Science Generalist. This sequence assumes a fall semester start. Students who begin in other sessions or those interested in a one-year sequence should consult with their faculty program advisor to plan their schedule.
Two-Year Sequence
| Year One | ||
|---|---|---|
| Fall Semester | Hours | |
| ADS 521 | Foundations of Data Science (Session I) | 3 |
| ADS 524 | Data Analytics (Session II) | 3 |
| Hours | 6 | |
| Spring Semester | ||
| ADS 534 | Statistical Modeling (Session I) | 3 |
| ADS 525 | Machine Learning I (Session II) | 3 |
| Hours | 6 | |
| Summer Semester | ||
| ADS 526 | Machine Learning II (Session I) | 3 |
| Elective (Session II) 1 | 3 | |
| Hours | 6 | |
| Year Two | ||
| Fall Semester | ||
| ADS 638 | Database Systems (Session I) | 3 |
| ADS 637 | Data Exploration and Visualization (Session II) | 3 |
| Hours | 6 | |
| Spring Semester | ||
| Elective (Session I) 2 | 3 | |
| ADS 670 | Case Analysis Capstone (Session II) | 3 |
| Hours | 6 | |
| Total Credits Required: | 30 | |