Program Evaluation and Data Analytics, MS

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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.

Program Offered

Program Evaluation and Data Analytics, MS

Offered by
Watts College of Public Service and Community Solutions

Downtown, Online

Plan of Study

The Plan of Study is the required curriculum to complete the program.

View Plan of Study

Program Requirements

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)

Elective courses

Choose two courses from the following list:

  • HED 607 Visualization and Presentation for Higher Ed
  • BMI 603 Health Informatics Database Modeling and Applications
  • BMI 616 Clinical Decision Support and Evidence-Based Medicine
  • TWC 511 Principles of Visual Communication
  • TWC 514 Visualizing Data & Information
  • TWC 531 Principles of Technical Editing
  • TWC 544 User Experience
  • TWC 546 Technical and Scientific Reports
  • TWC 551 Copyright & Intellectual Property in the Electronic Age
  • TWC 552 Information in the Digital Age

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