About the Program

The Data Science master's degree program is designed as a 30-credit hour interdisciplinary graduate program. The curriculum consists of required core courses and technical electives, providing opportunities to build knowledge and professional skills in various Data Science areas that are highly demanded in the current job market. Four concentrations are recommended (not mandatory) for students with different interests in Data Science:

Computational Intelligence Concentration

This concentration is recommended for those students who are interested in building their knowledge and professional skills to solve complex data analytics problems through learning and adapting based on data.

Applications Concentration

This concentration is recommended for those students who are interested in building their knowledge and professional skills to develop effective data analytics solutions in selected application domains. 

Business Analytics Concentration

This concentration is recommended for those students who are interested in building their knowledge and professional skills to apply intelligent strategies and technologies to support the collection, data analysis, presentation and dissemination of business information in enterprises. 

Big Data Informatics Concentration

This concentration is recommended for those students who are interested in building their knowledge and professional skills to apply cutting-edge technologies and tools to tackle Big Data challenges that are essential for data processing and analytics in numerous applications. 

This program provides students with opportunities to choose from a variety of courses offered by relevant departments from all four colleges at UM-Dearborn to fulfill students' specific career objectives in Data Science. These courses have access to a wide variety of computing and other resources across different units at the university. 

The program may be completed entirely on campus or through a combination of on-campus and online courses. 

Learning Goals

  1. Students will be able to manage large-scale, complex data.
  2. Students will be able to recognize and evaluate the opportunities, needs, and limitations of data.
  3. Students will be able to formulate and design data analytic solutions. 
  4. Students will be able to interpret data analytics and communicate the implications to stakeholders.