Academic Catalog

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:

   -Foundations in Data Science

   - 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:

    - Data Analytics

COMM-601Communicating about Data4
CS-641Foundations of Data Science4
CS-665Information Retrieval and Data Mining4
CS-682Machine Learning4
MATH-650Statistical Methods for Data Science4
MGMT-623Data Analytics4
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 Hours40