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Program at a Glance

Program
Graduate Certificate
College(s)
College of Community Innovation and Education
Department(s)
Learning Sci & Educ Research
U.S. News & World Report Grad Schools - Education
U.S. News & World Report Best Colleges - Most Innovative

Become a stronger consumer and producer of research with UCF’s Research Methods, Measurement and Quantitative Data Analysis graduate certificate. The nine-credit program, open to students from any field, offers a robust introduction to quantitative research methods, measurement principles and quantitative data analysis techniques. With the option to complete the certificate fully online, you can develop valuable research skills from anywhere. 

Through a three-course sequence, students learn to complete the research process from start to finish. Coursework emphasizes formulating research questions, designing empirical studies, selecting appropriate measurement tools, and analyzing data using descriptive and inferential statistics. You will also develop the ability to communicate findings clearly and accurately in alignment with professional and academic standards. 

In today’s information‑rich environment, the ability to understand and produce high‑quality research sets you apart. Whether you are looking to strengthen your academic background, prepare for a master’s or doctoral program, or gain analytical competencies valued across industries, this certificate offers preparation that enhances both academic and professional success.

Courses:

  • Fundamentals of Graduate Research in Education (EDF 6481): Develop a strong foundation in education research through critical review and analysis of research literature. The course introduces effective use of academic library resources and introduces the concepts of research design and data analysis. 
  • Measurement and Evaluation in Education (EDF 6432): Explore key concepts of measurement and evaluation, classroom test construction, creation and use of derived scores, selection and use of published measurement instruments, and current issues.
  •  Statistics for Educational Data (EDF 6401): Gain practical skills in analyzing data. Topics include descriptive and inferential statistics, as well as methods for interpretating results.

    Application Deadlines

    Spring
    November 1
    Fall
    July 1

    Application deadlines subject to change, see the for up-to-date deadlines.

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