Program Evaluation and Data Analytics, MS

Program Evaluation and Data Analytics, MS

By leveraging the power of information, this program empowers you to enhance organizational performance and support positive social impact through data and evidence. Earn this degree to make a meaningful, data-driven impact in your career.

Program description

The MS in program evaluation and data analytics (PEDA) 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 and data science, which empower students to utilize a diverse array of tools to generate insights on social impact and leverage data in organizations.

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 program. Through a project-based curriculum and individualized attention, students develop expertise in performance and evaluation frameworks.

To learn more, please register to attend a virtual information session.

Degree Requirements

33 credit hours including the required applied project course (PAF 593). All courses are online and taken through ASUOnline.

Required Core (21 credit hours)

  • PAF 510 Foundations of Program Evaluation I: Multiple Regression (3)
  • PAF 511 Foundations of Program Evaluation II: Research Design (3)
  • PAF 512 Foundations of Program Evaluation III: Advanced Regression Tools (3)
  • PAF 513 Foundations of Data Science I: Introduction to Data Programming in R (3)
  • PAF 514 Foundations of Data Science II: Data Wrangling (3)
  • PAF 515 Foundations of Data Science III: Project Management (3)
  • PAF 516 Community Analytics (3)

Electives (9 credit hours)

Culminating Experience (3 credit hours)

  • PAF 593 Applied Project (3)

Program Evaluation and Data Analytics, MS catalog information

For details about the program's policies please review our

Cost

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Program Fees: Every ASU graduate degree program has a “program fee” assessed for students in that program. These fees vary for each program. The more competitive/highly ranked a degree program, the higher the fee. The PEDA degree charges a program fee of $100 per credit hour. These fees cannot be waived.

Admission Requirements

Applicants must fulfill the requirements of both the Graduate College and the Watts College of Public Service and Community Solutions.

Applicants are eligible to apply to the program if they have earned a minimum of a bachelor's or master's degree in criminology and criminal justice, social work, public service, nonprofit management, parks and recreation management, tourism management, business, education, family studies, public health, psychology, or a related social and applied sciences field from a regionally accredited institution.

Applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in the last 60 hours of their first bachelor's degree program, or applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in an applicable master's degree program.

All applicants must submit:

  • graduate admission application and application fee
  • official transcripts
  • personal statement
  • two letters of recommendation
  • proof of English proficiency
  • An applicant whose native language is not English must provide proof of English proficiency regardless of their current residency.