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Course Description

This project-based course capitalizes on student interests to formulate research questions with understanding of data limitations, conduct multi staged data analysis, and select proper data visualization and graphical representation tools. Students will learn advanced modern analytical tools and techniques essential for analysis in a variety of disciplines such as Climate, Environment, Nutrition and Health applications (knowledge of only one of these disciplines. This course also covers research design, the scientific method, data quality and validity, data management, and research ethics in data analysis. Students should attempt to identify data sets relevant to their specific interests prior to the course. Instructor will approve data set suitability. If students cannot identify appropriate datasets, the instructor will provide a dataset. Designated time outside of the classroom is required for each student to work with the team partner to provide and receive feedback on homework assignments. Prerequisites: Students should have basic working knowledge of statistical methods in environmental and/or nutrition research and epidemiology. Recommended courses that cover those topics include: Biostatistics I and II (NUTR 0206/0309) or Statistical Methods in Nutrition Research and Regression Analysis for Nutrition Policy (NUTR 0207/NUTR 0307) or equivalent. Ability to analyze data by use of R is preferable, but students may utilize other statistical programs as long as those programs are sufficient for the analysis that is proposed.

Basic Enrollment Requirements: Unofficial Transcript - Bachelor's + 3.0 GPA. You will be contacted after registration for required evidence of immunization. 

Instructor Approval: During registration, you will be asked to explain how you meet the pre-requisites for this course and to describe any relevant experience. The instructor will use this information to confirm your enrollment or will otherwise be in touch with you. 

Refund Policy: The refund policy for Courses at Tufts offerings is dependent on the course length. Please refer to the section details to confirm any exceptions to the standard refund policy. The refund policies are viewable here: https://universitycollege.tufts.edu/policies#Refunds 

Remission Eligible: Yes; first day of term; all university policies apply. 

Affiliated With:

  • Friedman School of Nutrition Science and Policy