Applied Computer Science MS Program

Computing principles are increasingly important in fields far beyond computer science. Michigan Tech’s MS in Applied Computer Science is designed for students who want to bring advanced computing knowledge to problems in an application area, including those whose undergraduate education is in another discipline. The degree connects computing concepts with the practical work of designing, developing, and evaluating technical solutions.

The Accelerated Master's Program is available for current Michigan Tech students. 

Who is This Program For?

This program may suit students whose interests lie in applying computing to another field rather than studying computing in isolation. It is particularly relevant if you want to connect programming and computational methods with an established disciplinary interest; design or evaluate software-based approaches to technical questions; and strengthen computer science foundations for interdisciplinary problem-solving.

What You'll Study

Advanced computing study provides a foundation for applying computer science principles to demanding problems in other disciplines. Explore computing concepts, their implementation, and the ways software and computational systems can be adapted to an application domain. The MS has both report and coursework paths, allowing different ways to organize approved graduate study.

Where You'll Apply Your Knowledge and Skills

You can apply advanced computer science knowledge to developing specialized software, adapting algorithms, analyzing technical data, or evaluating the performance of computational systems.

These skills translate to software and computational research groups in many industries. IBM Research and Argonne National Laboratory are examples of organizations working with advanced computing and technical data, alongside engineering firms and software developers that need specialized computational tools.

  • Delivery Options

    • Accelerated: MS
    • On-Campus: MS

Applied Computer Science Program Details

Choose a specific degree option or delivery type to learn more about the applied computer program at Michigan Tech. For international students, Applied Computer Science is a designated STEM program.

On-Campus Programs

Additional Program Information

Want to learn more about applied computer science at Michigan Tech? Visit the department for more information:

Contact

Graduate Director

Jean Mayo

Graduate Assistant

Janna Chittick

 

Sample Areas of Interest

Select areas of interest to help customize your applied computer science MS. Sample areas include:

  • Applied Computer Science

View full listing for this program

Application Process and Admissions Requirements

Using a holistic approach, our graduate admissions team reviews applications on an individual and ongoing basis. Fill out our free graduate application online to apply to any of our programs. Official transcripts and scores are not required for the initial application, but you will need to upload them later.

Accredited by HLC

Michigan Tech has been accredited by the Higher Learning Commission (HLC) since 1928. We offer over 125 graduate certificates, master's degrees, and PhD programs to provide our students and the world with what tomorrow needs.

Who You'll Learn From and Work With

Access expert instructors whose computing research connects with other disciplines and applied problems. Some faculty are affiliated with Michigan Tech's Institute of Computing and Cybersystems, linking computer science with a wider research community. Their interdisciplinary perspective is particularly relevant for those who want to apply computational methods to questions in science, engineering, or other technical fields.

Where You'll Study and Do Research

Michigan Tech's computing research spaces support research in visualization, simulation, interaction, and computational analysis. University resources include multiple clusters, PC-based graphics systems, Oculus HMDs, a Vicon full-body tracking system, Microsoft HoloLens, a room-filling array of 24 screens, humanoid research robots like Nao and Darwin, driving simulators such as NADS Mini-SIM and LCT, as well as mobile usability testing facilities, among other assets. You'll have access to an impressive range of experimental and software-based methods used in applied computing research.