MS in Applied Data Science and Data Analytics
Home Department: Computer Science
This program is also available through Kettering University Online.
Availability of unprecedented amounts of data and emerging scalable technologies are changing the way we make decisions. Data Science and Data Analytics are the study of collecting, maintaining, processing and communicating intelligent insights about complex data and applying these insights to various endeavors ranging from healthcare to marketing. The professional Master of Science in Applied Data Science and Data Analytics program is a multi-disciplinary program designed to create tomorrow’s leading applied data scientists and analysts.
MS in Applied Data Science and Data Analytics is an interdisciplinary program which is a fusion of statistical and computing technologies with business and engineering applications. Technology courses include Data Mining, Machine Learning, Cloud Computing, and Data Visualization. Application courses include Managerial Sciences, Supply Chain Management, and Enterprise Resource Planning with future applications-related courses in the future. Students will have the option to work with faculty on a research project, on an internship with one of our co-op partners, or a capstone project in Applied Data Science and Data Analytics.
The program also features a Special Topics course to address the ever changing current issues and techniques in Data Science and Data Analytics. Potential Special Topics courses include data science applications in Advanced Mobility, Security and Privacy in Data Science and Deep Learning.
In addition to completing this program as a traditional MS degree, the student may take advantage of the unique 'stacked credentials' structure that is also available. The program has two introductory certificates that may be earned first. Then the student can complete the remaining four courses to complete the MS in Applied Data Science and Data Analytics degree. The two certificates that may be earned on the path to earning this MS degree are:
- Core Technologies for Data Science and Data Analytics
Note these certificates should be completed in the order provided here. If students are interested in further tailoring their educational experience, there is a third certificate that can be completed by selecting the appropriate Management elective in the program. That certificate is:
| Code | Title | Credit Hours |
|---|---|---|
| COMM-601 | Communicating about Data | 4 |
| CS-641 | Foundations of Data Science | 4 |
| CS-665 | Information Retrieval and Data Mining | 4 |
| CS-682 | Machine Learning | 4 |
| MATH-650 | Statistical Methods for Data Science | 4 |
| MGMT-623 | Data Analytics | 4 |
| Select at least one of the following: | 4 | |
| Programming Methods for Data Science | ||
| Cloud Computing: Architecture & Applications | ||
| Database Systems | ||
| Data Science Special Topics | ||
| Select no more than two of the following: | 8 or 4 | |
| Enterprise Resource Planning | ||
| Digital Strategy and Competitive Advantage | ||
| Management Science | ||
| Foundations Supply Chain Management | ||
| Select one of the following (CS-695 must be elected twice, and CS-693 may be selected twice): | 4 or 8 | |
| Data Science Capstone Project | ||
| Internship in Data Science | ||
| Thesis in Data Science | ||
| Credit Hours Subtotal: | 40 | |
| Total Credit Hours | 40 | |