- Bachelor’s degree from an accredited institution.
- Minimum undergraduate GPA of 3.0 with the possibility of conditional admission for applicants who do not meet this requirement.
- Current Purdue graduate students who are non-native English speaking international students do not need to retake an English language proficiency test (e.g. TOEFL or IELTS). Any applicant not currently enrolled in a Purdue graduate program do have to provide an English language proficiency test.
- If you have questions about any of the addmissions criteria, contact the AMAP steering committed (AMAP@purdue.edu)
- All students must already have completed a foundational research methods course. A new interdisciplinary cross-listed seminar on “Principles of Research Design in the Behavioral, Health, and Social Sciences” will be offered in future semesters to meet this requirement. This seminar is intended to provide a survey of different types of qualitative and quantitative methods, and ensure a common foundational learning experience that unifies all students earning the certificate. Comparable courses already offered within specific CLA or HHS departments can count as fulfilling this requirement. Current courses that meet this prerequisite are listed below. Other courses may meet this prerequisite but must be approved by the AMAP steering committee. Approved prerequisites are:
- COM 582 (Descriptive/Experimental Research In Communication)
- PSY 688 (Research Methods)
- SOC 580 (Methods for Social Research)
- COM 682/NUR 599 (Interdisciplinary Graduate Research Methods)
- NOTE: Other methodology classes from the Communications department with COM 682 course number (eg. Multivariate Statistics for Communication Research, Advanced Computational Communication Research Methods) can be counted as one of the four required courses, but this particular course is considered a prerequisite, and cannot be counted as one of the four advanced methodology courses required to finish the certificate.
- Students are encouraged to complete a course in linear regression and/or ANOVA before enrolling in the certificate. A course in linear regression and/or ANOVA is a required prerequisite for most of the quantitative courses listed below. Routinely offered courses in linear regression or ANOVA include HDFS 613, HDFS 617, POL 501, PSY 606, PSY 631, SOC 680, and STAT 512.