User warning: The following module is missing from the file system: readonlymode. For information about how to fix this, see the documentation page. in _drupal_trigger_error_with_delayed_logging() (line 1156 of /var/www/html/starling.sbs.arizona.edu/mig/ischool/includes/bootstrap.inc).
  1. Graduate
  2. M.S. Data Science

M.S. Data Science Policies & Advising Resources

UA Academic & Graduate Policies

You can find departmental, college and university-wide information related to academic programs, policies, and appeals on the General Catalog and Graduate College websites.

If you feel you have been treated unfairly, there are a number of resources available located in the Summary of Grievance Types and Responsible Parties and the Graduate Grievance Policy .

Title IX – No person in the United States shall, on the basis of sex, be excluded from participation in, be denied the benefits of, or be subject to discrimination under any education program or activity receiving Federal financial assistance. The Dean of Students website offers many resources to assist if needed.

The Ombuds Program is in place to assist in effective communication, collaboration and conflict management.

Advising Resources

M.S. Data Science Advising Resources - Handbook

New Student Checklist and Resources

Master’s GradPath Forms Walkthrough

Meet with the Program Advisor for more Information

M.S. Data Science Student Competencies

We've identified the competencies that you should gain when completing the M.S. in Data Science. These competencies will help you develop and apply mastering content through subject-area content and learning experiences.

MSDS1: Students will establish the ability to exercise the four key techniques of computational thinking: decomposition, pattern recognition, abstraction, and algorithms.

MSDS2: Students will obtain the skills of collecting, manipulating, and analyzing different types of data at different scales, and interpreting the results properly.

MSDS3: Students will acquire the skills to communicate the results of their work to interdisciplinary teams, using appropriate visualizations, multi-media, or artistic performance.

MSDS4: Students will demonstrate an understanding of information and data ethics, including ethical and legal requirements of data privacy and security, and the values of the information fields to serve diverse user groups.