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Data Science—Certificate, MS

Fast Facts

  • Michigan Tech’s first non-departmental Master's Degree
  • Truly interdisciplinary, this program has support from Michigan Tech's 3 schools, School of Business & Economics, School of Technology, and School of Forest Resources and Environmental Science, plus 10 separate departments distributed between the Colleges of Engineering and Sciences and Arts
  • This program is available as an accelerated master's degree.

The non-departmental Data Science degree and certificate programs seek to:

  • Attract students from various disciplines who wish to learn the basics of data analysis, data science, and computing tools
  • Build basic skills in communication and awareness of business contexts
  • Provide opportunities to develop domain-specific skills and the ability to analyze large data sets, including "Big Data"

Learn more about the Data Science program.

Learn more about the Data Science Certificate program.

Graduate Programs in Data Science

Today, society generates much more data than organizations are able to effectively consume. As a result, only a tiny fraction of that data is ever analyzed. The result is that the need for trained data scientists is growing exponentially. Data is produced in almost every sector and can come from a variety of sources such as social media, telecommunications, e-health networks, sensors, satellites, military surveillance, and scientific research. Integrating technical expertise, content knowledge, and well-developed communication skills, Data Scientists occupy a unique niche and possess a skill set that is in very high demand.

In this interdisciplinary degree, students will develop skills related to data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and business acumen. In addition to core courses, students will work with their advisors to select a set of domain-specific courses; in practice, combining technical skills with content knowledge allows students to tailor their degree to particular fields. This unique characteristic of the curriculum enables graduates to gain practical domain knowledge in preparation for immediate employment.

The Data Science Master's degree is designed as a terminal degree to prepare students for careers in government or industry. Depending on the choice of domain specialty, students could apply this degree to a variety of fields, including: physical sciences, geosciences, geoinformatics, bioinformatics, cheminformatics, environmental science, social sciences, or business and commerce.

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Similarly, the certificate program is designed for computational studies, mathematical sciences, and engineering graduates who wish to acquire further qualifications to work in professions where the primary role is to manage and analyze data. The courses included in the Data Science Certificate emphasize data analytics from a general perspective, and provide a background that can be applied to many areas.

Learn more about the Data Science Certificate program.