Master Of Science in Data Analytics
Eastern University’s Master of Science in Data Analytics prepares students to transform raw data into actionable insights that drive strategic decisions. In as little as 10 months and 30 credits, students gain proficiency in business intelligence tools, data visualization, statistical modeling, and ethical data use. The program emphasizes real-world applications, equipping students to serve as effective translators between complex data and organizational leadership. Rooted in a commitment to faith, reason, and justice, students are challenged to approach analytics as a means of promoting human flourishing across industries.
| Code | Title | Credit Hours |
|---|---|---|
| Required Coursework | ||
| DTSC 560 | Data Science for Business | 3 |
| DTSC 600 | Information Visualization | 3 |
| DTSC 650 | Data Analytics in R | 3 |
| DTSC 690 | Ethical and Philosophical Issues in Data Science and Analytics | 3 |
| Electives | ||
| Select 6 of the following: | 18 | |
| Fundamentals of Data Science | ||
| Introduction to Statistical Modeling | ||
| Principles of Python Programming | ||
| Data Manipulation | ||
| Cloud Foundations | ||
| Foundations of Machine Learning Models | ||
| Mathematics for Data Science | ||
| Data and Database Managment with SQL | ||
| Applied Data Science and Analytics Science | ||
| Healthcare Finance and Economics | ||
| The Business Environment | ||
| Financial Accounting | ||
| Total Credit Hours | 30 | |