Admissions and Degree Information | Interdisciplinary Evaluation Science

Admissions

Students may apply for the interdisciplinary evaluation science program at any time; applications are reviewed on a rolling basis. Part-time and full-time students are encouraged to apply. 

Prior Degree Requirements

Applicants must have a minimum of a baccalaureate degree. Evaluation is an interdisciplinary field, so the discipline in which the applicant received their degree is not necessarily a decisive factor in admissions.

Application Deadlines

Students may apply at any time; applications are reviewed on a rolling basis.

Admission Categories

Both part-time and full-time students are admitted. Admissions and course requirements are the same for part- and full-time students.

UD Undergraduates

Undergraduate students in good standing at UD who are recommended by their department may apply to the program waiving the second recommendation letter and the application fee.

Group Programs

Organizations may work with the UD Graduate College to create a partnership application to the program that includes a group of individuals. The Graduate College will consider these agreements on an individual basis.

Other Documents Required

  • Applicants must submit a written statement of the reasons for their interest in evaluation, their motivation to pursue a graduate degree and their professional goals and objectives.
  • Applicants must provide letters of recommendation from two people familiar with their academic record and/or professional achievement.

Degree Requirements

The M.S. in interdisciplinary evaluation science requires 30 credits of coursework at the graduate level. The 30 credits of coursework include 21 credits of required courses and a 9-credit concentration.

Core Courses

Area A: Evaluation Core (9 credits) 

  • EVAL680: Foundations of Evaluation
  • EVAL755: Evaluation Models and Management
  • EVAL615: Research Design and Methods

Area B: Mixed Methods Core (12 credits)

  • EVAL770: Quantitative Methods and Analysis
  • EVAL780: Survey Research
  • EVAL771: Qualitative Methods and Analysis
  • EVAL781: Mixed Methods Research

Concentration

Area C: Concentration (9 credits) 

  • Students may concentrate in one of nine concentrations spanning six colleges across the University. Concentrations range from methodologically focused coursework, such as business analytics, statistics and bioinformatics data science, to content-focused coursework, such as education policy, public policy and health policy.
  • In the event that a student’s area of interest is outside of the scope of existing concentrations, students may create a 9-credit individualized plan of study in conjunction with their advisor. This plan of study may include 3-9 credits of coursework and/or up to 6 credits in a practicum or independent study research project.

Certificates

  • Students completing the program will earn two certificates for their core coursework: (1) a Program Evaluation Theory and Design Certificate and (2) a Research Methods Certificate. 
  • Core courses are offered 100% virtually. 
  • Nine concentrations are offered 100% virtually. 
  • Additional concentration courses may be offered in person or hybrid, to capitalize on already existing on-campus courses to meet student-specific needs.

The master of science in interdisciplinary evaluation science has a 9-credit concentration in a methodological or methods-focused content area.

Methodological Concentrations* include:

  • Applied Statistics (in partnership with the Department of Applied Economic and Statistics/College of Agriculture and Natural Resources)
  • Bioinformatics Data Science (in partnership with Bioinformatics and Computational Biology)
  • Business Analytics (in partnership with Alfred Lerner College of Business and Economics)

Methods-Focused Content Concentrations* include:

  • Early Childhood Policy (in partnership with the Department of Human Development and Family Sciences/College of Education and Human Development)
  • Educational Technology (in partnership with the School of Education/College of Education and Human Development)
  • Education Policy (in partnership with the School of Education/College of Education and Human Development)
  • Health Policy (in partnership with the College of Health Sciences/School of Nursing)
  • Higher Education Policy (in partnership with the School of Education/College of Education and Human Development)
  • Public Policy (in partnership with the Joseph R. Biden, Jr. School of Public Policy and Administration/College of Arts and Sciences)

 *Students will need to meet any established criteria for the concentration they choose.


The following table outlines the course requirements for each concentration: 

 

Concentration

Courses

Applied Statistics

Required

STAT611: Regression Analysis 

STAT613: Applied Multivariate Methods

STAT615: Design and Analysis of Experiments

Bioinformatics Data Science

Required

BINF644: Bioinformatics

BINF601: Introduction to Data Science 

Choose 3 credits from other CBCB offerings:

BINF640: Databases for Bioinformatics 

BINF690: Programming for Bioinformatics 

BINF694: Systems Biology

BINF610: Applied Machine Learning

BINF620: Big Data Analytics in Biomedicine and Health 

Business Analytics (1 prerequisite)

Note: prerequisite substitution approved to accept EVAL770 for BUAD620. 

Required

MISY604: Database Design and Implementation

BUAD621: Decision Analytics and Visualization

MISY641: Data Mining for Business Analytics 

Early Childhood Policy

Required

HDFS805: Early Childhood Policy 

HDFS640: Early Childhood Administration, Leadership and Advocacy 

HDFS641: Infants, Toddlers, and Families: Development and Programming 

Educational Technology

Required

EDUC611: Introduction to Educational Technology

Choose 2 courses from:

EDUC621: Internet Technologies 

EDUC638: Learning Technologies 

EDUC650: Technology and Cognition 

EDUC656: eLearning

EDUC685: Multimedia Literacy

EDUC815: Design of Learning Environments (in person only) 

Education Policy

Required

EDUC705: Education Policy Evaluation 

Second policy course (higher education, early education or policy) UAPP707: Public Policy Analysis

Health Policy

Required

HLTH843: Policy and Finance for Healthcare Delivery 

HLTH844: Population Health Informatics

UAPP707: Public Policy Analysis 

Higher Education Policy

Required

EDUC878-010: Higher Education Policy 

Second policy course (education, early education or policy) 

UAPP707: Public Policy Analysis 

Public Policy

Required

UAPP684: Performance Management and Program Evaluation 

UAPP701: Public Policy

UAPP707: Public Policy Analysis

Students will be assigned an advisor upon admission. The advisor will work with the student to plan their concentration coursework. By the end of the first semester, the student, in consultation with the advisor, will have established a proposed plan of study. Individualized plans of study that are not predetermined concentration areas must be approved by the student’s advisor. Concentrations will appear on student transcripts; the description/title of an individualized plan of study will not appear on transcripts.

In rare circumstances, students may need to alter approved programs of study once they have entered the program for reasons such as scheduling conflicts or the creation of new courses directly related to the students’ goals. Students who wish to make changes to their program of study should first obtain permission from their advisor. The student must then make a written request to the Faculty Governance Committee to revise the program of study. Because most degree requirements can be met by more than one course (i.e., different courses in the participating units may be used to meet the requirements), variance in degree requirements is expected to be a rare event.

If students are involved in research projects involving human subjects, even administration of a survey, approval must be obtained prior to beginning any study. Information about obtaining approval may be found on Human Subjects in Research. If a project involves animal subjects, an Animal Use Proposal must be completed and submitted to the Institutional Animal Care and Use Committee

The program can be completed in two years of part-time study (6 credit hours/semester for four semesters and 6 credit hours during two Winter Sessions and/or Summer Sessions); though, students may take three to four years for program completion. The program can also be completed in one year of full-time study (12 credit hours/semester for two semesters and 6 credit hours during the Winter Session and Summer Session). There are no full-time residency requirements.

Table 3. Course Sequencing (Part Time)

Session

Course

Format

Semester 1

EVAL680: Foundations of Evaluation

EVAL615: Research Design and Methods 

Two 7-week courses 

Semester 2

EVAL770: Quantitative Methods and Analysis

EVAL771: Qualitative Methods and Analysis

Two 7-week courses 

Winter/Summer 1

EVAL755: Evaluation Models and Management

5 weeks

Semester 3

EVAL781: Mixed Methods Research Concentration: Course 1 

One 7-week course

Concentration course formats vary

Semester 4 

Concentration: Course 2

Concentration: Course 3

Concentration course formats vary 

Winter/Summer 2

EVAL780: Survey Research

5 weeks

 

Table 4. Course Sequencing (Full Time)

Session

Course

Format

Semester 1

EVAL680: Foundations of Evaluation

EVAL615: Research Design and Methods

EVAL771: Qualitative Methods and Analysis*

Concentration: Course 1

Four 7-week courses

Concentration course formats vary

Winter/Summer 1

EVAL755: Evaluation Models and Management 

5 weeks

Semester 2

EVAL770: Quantitative Methods and Analysis

EVAL781: Mixed Methods Research*

Concentration: Course 2

Concentration: Course 3 

Two 7-week courses

Concentration course formats vary 

Winter/Summer 2

EVAL780: Survey Research

5 weeks

*Course offering schedule may need to be altered for full-time students.

 

At the midpoint in a student’s program, the advisor will review the student’s program of study to determine if he or she is making satisfactory progress through the program. Students who are not making satisfactory progress will be placed on academic probation for one semester. If performance has not improved by the end of the probation semester, the student may be terminated from the program. A minimum average of B (GPA of 3.0) is required for successful completion of the program.

The University policy governing the degree completion timeline for students entering a master’s degree program is 10 consecutive semesters to complete the degree requirements. An extension of the time limit may be granted for circumstances beyond the student’s control. Requests for time extensions must be made in writing and approved by the student’s advisor and the director of the interdisciplinary evaluation science program. The director will forward the request to the Office of the Dean of the Graduate College, which will determine the student’s eligibility for a time extension and notify the student in writing of its decision to grant an extension of time.

Students must have a minimum overall grade point average of 3.0 to be eligible for the degree. In addition, the grades in courses specific to the interdisciplinary evaluation science program must equal at least 3.0. All graduate-numbered courses taken with graduate student classification at the University of Delaware are applied to the cumulative index. Credit hours and courses for which the grade is below “C-“ do not count toward the degree even though the grade is applied to the overall index. Candidates should see that all final grades have been submitted by their instructors. If a student should be recommended for termination for failure to make satisfactory progress, they may follow the grievance procedures for the Graduate College.