Measurement, Evaluation, and Data Science


The graduate program of Measurement, Evaluation, and Data Science (MEDS) provides students with a solid core foundation in four areas: Psychometrics (designing, analyzing, and interpreting high-quality instruments), Research Methodology (statistical methods and research design), Evaluation (the evaluation of educational and organizational programs), and Data Science (data mining techniques, machine learning algorithms, and learning analytics).

Why pursue a degree in MEDS?

MEDS is the largest graduate program in Canada that focuses on measurement, evaluation, and data science. MEDS has five full-time faculty members who all have active and well-funded research programs.

MEDS offers a variety of required and elective courses through the Faculty of Education and other programs, including Computing Science, Electrical and Computer Engineering, Psychology, and Linguistics.

MEDS is affiliated with the largest measurement and evaluation research centre in Canada, the Centre for Research in Applied Measurement and Evaluation (CRAME).

MEDS students are an integral part of the teaching and research conducted by the faculty and are afforded a broad range of both theoretical and applied learning opportunities through research/teaching assistantships, internships, and statistical consulting.

MEDS welcomes students to a supportive and collaborative program environment, where they become part of the large MEDS alumni network.

What are the benefits?

All graduate students in the MEDS program will develop:

  • a solid knowledge base in psychometrics, research methodology, evaluation, and data science as well as the ability to apply their skills to the abundant job opportunities available in these areas;
  • critical and analytical thinking skills about research and practices in cutting-edge educational applications;
  • hands-on skills in developing, using, and applying state-of-the-art technology in measurement, evaluation, and data science;
  • the ability to conduct sound, high-quality research to inform the construction, interpretation, and validation of large-scale and classroom assessment practices; and
  • communication and knowledge translation skills required to disseminate high-quality research outcomes through impactful peer-reviewed publications, technical reports, and presentations.