Application Deadlines

Applications will be reviewed as they are received and may be considered after the deadline on a case-by-case basis.

Fall Semester

December 15 – Early decision deadline
March 1 – Scholarship & international deadline
June 30 – Final deadline

The Master of Science in Statistics and Data Science delivers a unique curriculum with the flexibility to customize the program to your industry or interests. After completing the required foundational courses, students may choose electives in order to specialize in geography and urban studies, computer information science, or actuarial science.

Core Courses (24 credits)Electives (6 credits)
Statistical Methods IStatistical Science
Applied Statistics and Data ScienceComputer Information Science
High Dimensional Inference for Data ScienceActuarial Science
Design and Analysis of Complex ExperimentsGeography and Urban Studies
Data Wrangling and Curation OR CIS 5516
Visualization: The Art of Numbers
Statistical Computing for Data Science
Capstone in Analytics

Sample Course Progression

Full-Time Completion Path

Year 1
Fall
Year 1
Spring
Year 2
Fall
Statistical Methods IApplied Statistics and Data ScienceDesign and Analysis of Complex Experiments
Data VisualizationStatistical Computing for Data ScienceCapstone in Analytics
Data Wrangling and CurationHigh Dimensional Statistics and Data MiningOptional Elective
Optional ElectiveOptional Elective

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