Data Science

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.

2019-2020 Incoming Students Course Work

New students entering the Graduate Certificate in Data Science must follow these new course work requirements.

Current Students —Course Work

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

Two courses must be taken from the list of approved elective courses:


Domain Specific Courses—Maximum of 12 Credits

To complete the Master of Science in Data Science, students must earn the remaining of the required 30 credits through completion of approved domain-specific Data Science courses. Students may choose domain-specific courses from one or more domains. Each student will consult with her/his advisor in order to determine the appropriate mix of elective courses and domain-specific courses, given the student’s background, interests, and career aspirations.

Biomedical Engineering

Business and Economics

Chemical Sciences

Cognitive and Learning Sciences

Computer Science

Electrical and Computer Engineering

Forest Resources and Environmental Science

Geological and Mining Engineering and Sciences

Mathematics

Physical Sciences

Social Sciences

Systems Administration Technology

Sample Schedules