Applied Statistical Analysis, AGC

Our advanced graduate certificate (AGC) in applied statistical analysis recognizes the importance of quantitative methodology for conducting scientific research and for guiding evidence‐based practice in any field, but in particular the field of education.

This AGC program provides a good foundation from which you may pursue either doctoral studies, or a career as a researcher whose job entails analyzing statistical data (especially as related to education). The certificate can enhance your employabilityany student graduating from any graduate program (MA and PhD students from any discipline may complete this certificate). Apply Now

This advanced certificate attests that you are competent in the statistical methods required to analyze quantitative data collected in empirical research studies:

  • that s/he has learned a range of statistical methods;
  • that s/he and has attained a good understanding of the methods and the models on which they are based;
  • that, in the coursework, s/he has gained experience in applying the methods to actual quantitative data and interpreting the results of the analysis.

Application Requirements

  • Completed online application.
  • Unofficial copies of transcripts from all post secondary institutions attended. Applicants who are currently at UB or have studied at or graduated from UB do not need to request an official UB transcript. GSE's Office of Admissions can download and print the transcript.
  • A $50 non-refundable application fee, submitted electronically through UB's ePayment system

Former/Maiden Name: Note to all applicants, please be sure to provide us with your former/maiden name if you have one. When requesting transcripts, please ask the sending institution to indicate your current name and former/maiden name.

For questions regarding the application process please contact:

Ms. JoAnn Laska
Office of Graduate Admissions and Student Services
Graduate School of Education
University at Buffalo
366 Baldy Hall
Buffalo, NY 14260
Telephone: (716) 645-2110
Fax: (716) 645-7937
email: jlaska@buffalo.edu

Curriculum

The coursework for the advanced certificate is outlined below and includes two introductory courses and four advanced courses.

Program Requirements

The Advanced Certificate requirements include CEP 500 Fundamentals of Educational Research, CEP 522 Statistical Inference I, and four additional courses selected from the list below. (The list may be increased from time to time as new courses become available.) Transfer courses will only be accepted for equivalents of CEP 500 and/or CEP 522. All courses must be completed with a grade of “B” or higher.

Program of Study

Required Courses:

(Offered Fall semester)

  • CEP 500: Fundamentals of Educational Research (or equivalent)
  • CEP 522: Statistical Inference I (or equivalent)

Any Four of the Following Courses:

  • CEP 510: Psychometric Theories in Education – 3 credits
  • CEP 523: Statistical Inference II – 4 credits
  • CEP 525: Applied Multivariate Analysis – 4 credits
  • CEP 526: Linear Structural Models (SEM) – 3 credits
  • CEP 527: Analysis of Large-Scale Databases – 3 credits
  • CEP 528: Hierarchical Linear Modeling (HLM) – 3 credits
  • CEP 529: Applied Regression Analysis – 4 credits
  • LAI534: Measurement and Evaluation of Science Instruction – 3 credits

Core Program Faculty

Faculty Name Office Phone Email
Dr. Jeremy Finn 422 Baldy Hall (716) 645-1126 finn@buffalo.edu
Dr. Seong Won Han 431 Baldy Hall (716) 645-1080 seongwon@buffalo.edu
Dr. Sunha Kim 423 Baldy Hall (716) 645-1127 sunhakim@buffalo.edu
Dr. Jaekyung Lee 434 Baldy Hall (716) 645-1132 jl224@buffalo.edu
Dr. Michele Shanahan 405 Baldy Hall (716) 645-1109 meshady@buffalo.edu

Admissions and Advisement

This program is open to any part-time or full-time student enrolled in any master’s or doctoral degree program. In addition, you may apply to, and enroll in, the advanced certificate program without concurrent enrollment in a UB graduate degree program.

Upon acceptance into the certificate program, you will receive notice of acceptance and be assigned a faculty advisor. You and your advisor will jointly decide on the most appropriate elective choices from the list above, based on your background and interests.


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