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MSDS Curriculum, Specialties & Courses

Faculty teaching

The University of Arizona MS in Data Science, ranked the #4 program in the nation by Fortune, empowers students with the in-demand skills they need to transform data into actionable insights through data collection, exploration, analysis and manipulation.

The STEM-designated degree, which is offered at our main campus in Tucson, Arizona and online, requires 30 total units and can typically be completed in 18 months for full-time students.


MSDS Student Competencies

Students who graduate from the University of Arizona MS in Data Science will have the following competencies:

Competency 1

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

Competency 2

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

Competency 3

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

Competency 4

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.


Master's Plan of Study

As an MSDS student, you will work with your faculty advisor to develop a Master’s Plan of Study during your first few months in the program. The Plan of Study, which must be submitted to the Graduate College no later than your second semester in the program, identifies:

  1. Courses you intend to transfer from other institutions (if any)
  2. Courses already completed at the University of Arizona which you intend to apply toward the graduate degree (if any)
  3. Additional coursework to be completed to fulfill degree requirements

The Plan of Study must have the approval of the director of graduate studies before it can be submitted to the Graduate College.

Students with questions about GradPath or needing general advising should visit the Advising page or contact infosci-gradadvise@arizona.edu for staff assistance.

Course Transfers

A maximum of 6 units can be transferred toward your MSDS from other institutions. Please reach out to the program advisor over email and provide (1) the list of courses that you’d like to transfer, (2) the closest course to each of the potential transfers in the list of pre-approved courses and (3) the syllabus for each of the courses that you are intending to transfer.


Specialties

Students may concentrate their coursework in a variety of specialties aligned with career goals.

Click a link below to view more information about MSDS specialties, including recommended courses:

 


Curriculum

The following curriculum is effective Fall 2024. View the curriculum applicable to MSDS students admitted for Fall 2023, Spring 2024 or Summer 2024 in the appropriate section below.

Students have the choice of completing the MSDS alone or using sets of courses in order to attain one or more graduate certificates at the same time. Please see corresponding units' web pages for more information about their graduate certificates (e.g., Linguistics). Learn more about the Graduate Certificate in Foundations of Data Science or visit our Graduate Certificates page for more information about all College of Information Science graduate certificates.

Elective courses toward degree requirements will be taken from INFO coursework (INFO 500-590 or 600-690) or approved coursework in other departments. Additional units of experiential credit beyond the minimum 3-unit requirement (capstone, internship, independent study, research) may not be used towards the electives

 

Elective courses include:

Complete a total of 3 units for the required internship or capstone project:


Internship or Capstone Project

Either an internship or a capstone project for a total of 3 units is required as part of the MSDS. A maximum of 6 units of experiential coursework (capstone or internship) can be applied toward graduation.

Internship

The internship is intended to provide an opportunity for students to build on what they have mastered in the program and practice the knowledge and skills in the real world, whether corporate, institutional, nonprofit or otherwise. The internship should be relevant to student's degree competencies and contribute to the development and enforcement of the student's knowledge and skill sets in the fields of data science and information science.

College of Information Science master's students have interned at a wide range of organizations, including:

  • Amazon
  • Avirtek
  • CyVerse
  • Deloitte
  • Federal Government
  • Freeport-McMoRan
  • Genentech
  • iDE Global
  • Intel
  • Labcorp Drug Development
  • Lightsense Technology
  • Lum.ai
  • Lunewave
  • Mayo Clinic
  • NuvOx Pharma
  • Onebridge
  • Pima County Public Library
  • Pitney Bowes
  • Raytheon
  • Roche
  • RNC Mobile Services
  • Tesla
  • Tucson Electric Power
  • Tucson Police Department
  • U.S. Food and Drug Administration (FDA)
  • University of Arizona Libraries
  • University of Arizona Security Operations Center
  • Viasat
  • Vue Data
  • And more! 

For additional information about internships, including resources for finding an internship and select internship postings, view the InfoSci Internships & Mentorships page:

College of Information Science Internship Information & Resources


Capstone Project

The 1- to 3-unit MSDS capstone project is an opportunity for students to showcase what they have mastered in the program. It is based on a project plan that includes project goals, master's competencies addressed by the project, system design, implementation schedule, assessment plan and milestones. The project contributes to the development and enforcement of the student's knowledge and skill sets in the field of information science.

The capstone project must exercise all competencies required for the MSDS and must also have a software development component. Students will deposit capstone project code in GitHub or another source code repository.

View recent capstone project summaries, including keywords and faculty advisors.

To declare capstone projects, students follow these steps:

  • Contact your staff advisor to request enrollment during open registration
  • Upon completing the capstone project, submit a report (5,000-6,000 words in length) in the form of an academic paper, documenting what has been accomplished and explaining how the competencies have been demonstrated.
  • Your supervisor(s) will complete a competencies evaluation form, evaluate the project and assign a pass/fail grade.

MSDS Degree Requirements
for Students Admitted Fall 2023 - Summer 2024

MS Data Science students who began their program in Fall 2023, Spring 2024 or Summer 2024 have different requirements from those above:

Ready to transform your future in data science?

Learn more about the Master of Science in Data Science by contacting us at infosci-grad@arizona.edu, or review the admissions process and begin your application now:

Start Your Application