Master of Science in Data Analytics (MSDA)
Faculty
Director: Dr. Hannah Kling
Associate Professor: Dr. Karen Price, Dr. Hannah Kling
Program Mission
At its core, the Master of Science in Data Analytics program supports its students’ work within organizations in their journey to search for and live in response to Truth. The program will produce leaders who demonstrate decision intelligence, the practical discipline of mind used to improve decision-making by explicitly understanding and engineering how decisions are made and how outcomes are evaluated, managed, and improved by evidence. Reflected in its focus on effectively planning for the future, seeking and communicating truth, and making the best use of available resources, the program embodies the Benedictine Hallmarks of stability, conversation, and stewardship. The M.S. Data Analysis program is committed to engaging in practices that challenge realities often taken for granted, fostering intellectual breakthroughs, and cultivating habits of mind that will transform students, faculty, and the organizations and communities in which they work and serve.
Program Goals
- Graduates with an M.S. in Strategic Analysis will have a solid working knowledge of data science, database management, analytics, data visualization, project management, and program evaluation functions.
- The program will produce strategic business intelligence analysts who are proficient in six core competencies:
- Engagement and collaboration
- Critical thinking
- Personal leadership and integrity
- Accountability for results
- Technical expertise
- Communication
- Graduates will develop advanced analytics skills used to make evidence-based recommendations and be good stewards of the resources and people they manage.
Curriculum Requirements
The Master of Science in Data Analytics (MSDA) curriculum consists of 30 credit hours of courses.
Program Requirements
| MSA600 | Intro to Data Analytics | 3 |
| MAL602 | Ethics and Value Based Leadership | 3 |
| MSA610 | Intro to Applied Statistics & Data Analysis | 3 |
| MSA620 | Data Management & Data Mining | 3 |
| MSA630 | Data Visualization | 3 |
| MSA640 | Program Evaluation | 3 |
| MBA646 | Python for Business Analytics | 3 |
| MBA645 | Spreadsheet Modeling for Decision Making | 3 |
| MSA660 | Leading in a Data Driven Organization | 3 |
| MSA665 | Analytics Capstone Seminar | 3 |