Jun 16, 2024  
2024-2025 Catalog 
2024-2025 Catalog

Digital Transformation (MS)

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Digital transformation (DT) is the integration of three developing trends and capabilities. First is the adoption of advanced digital technologies such as IoT, AI, Big Data, Digital Twin, VR/AR/MR/XR, Blockchain, etc. Second is the reformulation of business platforms and processes to operate in a lean, resilient, and real-time collaborative manner with customers and supplier networks. Third is the shift in workforce engagement to operate using virtual and boundary-less teams. The result is to significantly improve operations or disruptively enable new business models. This MS program is designed to educate new professionals in DT to help industries transform their practices, methodologies and workflows.

The objective of the Digital Transformation MS program is to prepare DT engineers who:

  • Develop and demonstrate the ability to communicate with and integrate multidisciplinary expertise related to digital transformation and innovation.
  • Develop and demonstrate the ability to lead, design and create applications of digital transformation and innovation using current and emerging tools, techniques and technology.
  • Develop skills in management, technology, communications, information architecture, data science, and gender/cultural awareness and demonstrate the ability to apply them in practice.
  • Develop and demonstrate the ability to assess, test and research digital transformation and innovation with sensitivity and awareness around ethics, equity, diversity, business and social impact.

Admission Information

The Graduate Programs Office serves as the primary source of information for all prospective graduate students, providing detailed guidance and resources to facilitate the application process.  Up-to-date and comprehensive details regarding admissions procedures, requirements and deadlines can be found on the program page on the Graduate Programs website.

Transfer of Credit

With approval of the CSIS Graduate Committee, students may transfer in, or elect as a graduate non-candidate for degree (NCFD), up to six credits of graduate-level courses in computer science and information systems. See Transfer of Credit in the Graduate Study section for additional information on University of Michigan-Flint policies regarding the transfer of graduate credit.

Time Limit for Degree Completion

All requirements must be completed within six calendar years of initial enrollment in the program.

Academic Rules & Regulations

See the College of Innovation and Technology (CIT) , College of Innovation and Technology Graduate Programs , and Graduate Study   sections for rules and regulations pertaining to all Innovation and Technology graduate programs. 


A minimum grade of B (3.0) is required in each course:

Concentration of Choice (8 credits)

One of the following concentrations:

Option of Choice (8 credits)

One of the following:

Thesis Option

Thesis research, consisting of a research project with a final thesis paper and an oral defense.

Project Option

Directed project and an elective course.

Electives Option

•Two additional courses from the concentrations listed above

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