Quantitative Analytics in Education and the Social Sciences: M.Ed. - Master of Education

Admission Requirements

This program accepts the submission of Graduate Record Exam (GRE) scores as part of the application process OR the applicant can choose an alternative procedure in place of GRE scores. GRE scores must be less than five years old. Visit our Graduate Admission page for the full graduate admission process.

Additional admission requirements that apply specifically to this program (including alternative materials accepted in place of GRE scores) are listed below:

Prerequisites: The Master of Education in Quantitative Analytics in Education and the Social Sciences curriculum is designed to provide students with prior statistics experience with a core foundation in advanced quantitative research and analysis in education and the social sciences. Students who need to acquire prerequisite statistical knowledge will complete the foundational course EDLF 5330 – Quantitative Methods and Data Analysis I or similar, before beginning the program.

In addition, applicants must:

• Hold a baccalaureate degree from an accredited college or university;
• Have a “B” average or better for the last two years of undergraduate study;
• Submit an application for admission and unofficial transcripts of all previous undergraduate and graduate work;
• Submit at least two letters of recommendation from professionals who can attest to his/her promise as a graduate student and professional educator;
• Submit a statement of professional goals (1-2 pages);
• A writing sample is not required.
• GRE scores are optional. Applicants who elect to submit scores will not receive an advantage over those who do not submit GRE test scores.

Direct Admission for Current UVA Students
Current UVA students are eligible for the Direct Admission option if they have a minimum GPA of 3.3 and have completed one or more of the required courses. Review the Direct Admission page for more information.

Coursework

To learn more about specific courses taken as part of the completion of this degree, visit the Graduate Record website. These webpages represent the official repository for academic program requirements. A link to these publications can be found in the Curriculum Information section at the bottom of this page.

The M.Ed. in Quantitative Analytics in Education and the Social Sciences is a 30-credit hour degree program, of which 3 credit hours must be a capstone project.

Required courses fit into the following categories:

• Core courses 
• Advanced modeling courses
• Methodological electives
• Capstone Experience / Research Internship

  Internship Option 1: The student will work closely with a research mentor on original research or comprehensive literature review. This option is similar to writing a thesis, but on a smaller scale. The final paper should be about the same length as a manuscript written for a scholarly journal. If conducting original research, the student must make a significant contribution to the work, as determined by their research mentor, though the student need not be the sole contributor (i.e., lead author).

  Internship Option 2: The student will obtain an internship with an organization in which they can obtain practical experience in data analytics. A written agreement between the student, the advisor, and the sponsoring organization must be in place prior to beginning the internship experience. This agreement will document the relevance of the experience to data analytics and must be approved by all parties.