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Data Science

Master of Science


of All Higher-Ed Institutions

-Center for World University Rankings, 2022


In Best Value Among Arizona's Public Universities

- Payscale, 2022

Quick Facts

Credits Required: 30
Cost Per Credit: $650
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School of Information

Program Details

Earn your Master of Science in Data Science and join the next generation of professionals and researchers with the knowledge, skills and expertise to engage in data science processes. 

This degree encompasses a blend of disciplines to address contemporary and future information science challenges. Engage in issues at the intersection of technology, people and information, drawing upon a central foundation in information science. Through this program, you will gain training in data collection, exploration, manipulation and storage, analysis and presentation in order to navigate data-rich workplace environments.

The University of Arizona Online also offers stackable graduate certificates that can be earned for elective credit toward the MS in Data Science. The Graduates Certificates in Foundations of Data Science and Natural Language Processing provide credits and experience that are directly transferable into this full degree program. You may also choose to pursue one of these graduate certificates concurrently with your degree program and graduate with both credentials. Stackable credentials provide you with opportunities to develop a variety of skills and knowledge appropriate to your specific area of study.

Applicants are expected to have completed undergraduate coursework in programming and statistics. Coursework in calculus is preferred but not required. The application will have two explicit questions asking to list coursework or professional experience that demonstrates strong quantitative and analytical reasoning abilities as well as experience with math and programming, including data structures, analysis of algorithms, and linear algebra.

If you decide to pursue the MS in Data Science, you can apply at any point (within four years of the completion of a certificate) and synthesize your experiences through a capstone project.

*Residents of some U.S. Territories may not be eligible. Please see our Eligibility & State Authorization page for more information.


The core courses required for this program include:

INFO 520: Ethical Issues in Information
INFO 523: Data Mining and Discovery
INFO 526: Data Visualization



Earning your Master of Science in Data Science will build core skills, including:

  • Data collection
  • Data exploration
  • Data manipulation
  • Data processing
  • Data storage
  • Data preservation
  • Data analysis
  • Data visualization
  • Algorithmic thinking and doing
  • Machine learning and natural language processing
  • Communication
  • Teamwork/collaboration
  • Probability theory
  • Optimization
  • Parametric modeling
  • Non-parametric statistical
  • Database development and management
  • Analyzing ethical concerns
  • Societal impacts related to data science

Graduates of the MS in Data Science program will be prepared to pursue careers in the following fields:

  • Artificial Intelligence Engineering
  • Business Analysis
  • Business Data Analysis
  • Business Intelligence Analysis
  • Business Intelligence Engineering
  • Data Analysis
  • Data Architecture
  • Data Engineering
  • Data Science
  • Language Engineering
  • Machine Learning Engineering
  • Machine Learning Science
  • Market Research Analysis
  • Predictive Analytics
  • Research Science
  • Solutions Architecture
  • Systems Engineering