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DSCI 592 Data Science Capstone II 3.0 Credits

Explores data science in practice as an open-ended team activity. Completes an in-depth multi-term capstone study applying computing and informatics knowledge in a data science project. Teams work to develop a significant product with advisors from industry and/or academia. Explores data science-related issues and challenges involved in the application domain of the team’s choice. Applies a development process structure for project planning, specification, design, implementation, evaluation, and documentation. This course should be taken toward the end of the student's program.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: DSCI 591 [Min Grade: C]

Data Science

...0 Analytics Elective 3.0 DSCI 591 3.0 DSCI 592 3.0 Management and...

Post-Baccalaureate Certificate in Big Data Analytics

...Computing & Informatics website . Program Requirements * DSCI 591 and DSCI 592 are recommended if a student...

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