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About the Degree

The Michigan Tech Advantage

Our degree will provide you with a broad-based education in data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and business acumen. Additionally, you will gain a competitive edge through domain-specific specialization in disciplines of science and engineering. You will have the freedom to explore and develop your own interests in one or more domains. 

Prerequisites

Entry into this program assumes basic knowledge in statistical and mathematical techniques, computer programming, information systems and databases, and communications, obtained through a degree in business, science, or an engineering discipline.

Course Work Degree

Our Master of Science in Data Science is a terminal degree designed to prepare students for careers in industry and government.

Core Courses—12 credits

The four required core 3-credit courses focus on fundamental skills in data science analytics, data mining, and business analytics. These courses are:

Foundational Courses—Maximum of 6 credits

A maximum of six credit hours of foundational skills courses at the 3000–4000 level may be applied to the Master of Science in Data Science. These courses will build skills necessary for successful completion of the MS in Data Science. Some students will not need to take these foundational courses and will instead use the domain electives to reach the credit requirements of this program.

The 2000-level courses listed here cannot be counted towards the requirement for the MS in Data Science but may be necessary for a given student to build their foundational knowledge.

Electives—Minimum of 6 credits

At least 6 credits must be taken from the list of approved 3-credit Data Science elective courses below:

Sample Schedules