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The MS in program evaluation and data analytics is a professional degree program that emphasizes skills needed to leverage data to improve organizational performance in the public, nonprofit and private sectors. It combines courses in program evaluation that provide tools to assess policy or program impact with data science classes that empower students to utilize a diverse array of data sources in new and exciting ways.
Students receive training in data programming, visualization, dashboard design, open data, project management and impact analysis. Through this, students build the technical skills necessary to implement evidence-based approaches to policy and management.
Unlike other data scientist degrees, this program is built using public sector and nonprofit examples. Students do not need a background in computer programming before starting the degree. Through individualized attention and a project-based curriculum, students develop expertise in performance and evaluation frameworks for social change.
Graduates are prepared to work as policy analysts, managers, chief data officers, or evaluation specialists.
Required Core (24 credit hours)
CPP 523 Foundations of Program Evaluation I: Multiple Regression (3)
CPP 524 Foundations of Program Evaluation II: Research Design (3)
CPP 525 Foundations of Program Evaluation III: Advanced Regression Tools (3)
CPP 526 Foundations of Data Science I: Introduction to Data Programming in R (3)
CPP 527 Foundations of Data Science II: Data Wrangling (3)
CPP 528 Foundations of Data Science III: Project Management (3)
CPP 529 Data Analytics Practicum (3)
SWG 623 Program Evaluation (3)
Electives (6 credit hours)
Culminating Experience (3 credit hours)
CPP 593 Applied Project (3)
Choose two courses from the following list: