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.
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.
This option requires a minimum of 30 credits be earned through coursework. Use of limited number research credits in partial fulfillment of the requirements for a coursework degree may be allowed in exceptional cases. Students wishing to apply research credits toward a coursework degree must obtain approval from their advisor and department. The department must then obtain approval from the Graduate School. Approval will only be granted when there is evidence that an appropriate body of work has been completed, sufficient deliverables have been produced, and circumstances beyond the students' control have made it necessary for them to change from a research-based to a coursework-based degree program.
A graduate program may require an oral or written examination before conferring the degree.
|Distribution of coursework credit|
|5000–6000 series (minimum)||18 credits|
|3000–4000 level (maximum)||12 credits|
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.