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.
- M.S. Degree Requirements
- Mode of Delivery
- Concentrations
- Variance in Degree Requirements
- Timetable and Definition of Satisfactory Degree Progress
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.