Master of Science in Data Science
Eastern University’s Master of Science in Data Science offers an innovative approach to learning the art and science of data science in as little as 10 months. In 30 credits, students will become equipped with abilities employers desire: cutting-edge technical skills combined with enhanced decision-making ability and discernment. Our students are trained to apply mathematical and statistical thinking and computer programming skills to both theoretical and applied problems. Students will be inspired to understand data science in the context of their faith - that is, as a tool through which wise decisions can be made that enable
human flourishing.
| Code | Title | Credit Hours |
|---|---|---|
| Required courses | ||
| DTSC 650 | Data Analytics in R | 3 |
| DTSC 660 | Data and Database Managment with SQL | 3 |
| DTSC 670 | Foundations of Machine Learning Models | 3 |
| DTSC 690 | Data Science Capstone: Ethical and Philosophical Issues in Data Science | 3 |
| Electives | ||
| DTSC 520 | Fundamentals of Data Science | 3 |
| DTSC 550 | Introduction to Statistical Modeling | 3 |
| DTSC 560 | Data Science for Business | 3 |
| DTSC 575 | Principles of Python Programming | 3 |
| DTSC 580 | Data Manipulation | 3 |
| DTSC 600 | Information Visualization | 3 |
| DTSC 620 | Cloud Foundations | 3 |
| DTSC 680 | Applied Machine Learning | 3 |
| DTSC 685 | Natural Language Processing | 3 |
| DTSC 691 | Data Science Capstone: Applied Data Science | 3 |
Dual MBA/MS In Data Science
Eastern University's dual MS in Data Science and MBA degree merges the technical aspects of data science with the strategic acumen of business administration. This comprehensive program is tailored for professionals aiming to excel in our rapidly changing digital economy. The self-paced, asynchronous nature of the coursework allows students to engage with both technical and nontechnical material concurrently within a flexible timeframe. In this program, students acquire not only cutting-edge technical skills demanded by today's employers, but also the critical decision making and leadership competencies essential for managerial roles. Graduates will emerge with this dual competency, prepared to harness the power of data science within business contexts to drive innovation, operational efficiencies, and sustainable growth. The courses are embedded within a framework that encourages students to integrate their faith with their professional aspirations, empowering them to make decisions that promote human flourishing in the marketplace and beyond. Students will graduate with both degrees, and courses in both programs can be taken simultaneously.