Data Analytics Program (BS)

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Data Analytics is the application of data science to study real-life datasets by mixing statistics, technology, and discipline-specific content knowledge. Students in this program split their coursework between mastering these fundamental skills and courses in one of several possible tracks, focusing their application of these skills to their chosen field of study.

Requirements (120 credits)

D. Track of Choice (11-13 credits)

Mathematical Data Science

MTH 230 - Introduction to Discrete Structures (4)
MTH 327 - Coding Theory (4)
MTH 362 - Combinatorics, Data and Graphs (4)

Health Information Systems

Geographic Information Systems

Information Management

Bioinformatics

Natural Language Processing

ARI 425 - Natural Language Processing (4)
CSC 275 - Problem Solving and Programming II (4)
CSC 375 - Data Structures (4)

E. Additional Requirements

All requirements of the College of Innovation and Technology (CIT) Bachelor of Science degree, including General Education requirements and University of Michigan-Flint graduation requirements .

Honors Program

All bachelor-degree-seeking students with GPAs of 3.5 or higher are eligible to apply to the University of Michigan-Flint Honors Program . Please contact the Honors Program Manager or the Honors Program Director for further information.