Foundations of Data Science
of All Higher-Ed Institutions
- Center for World University Rankings, 2020
University in Arizona
- U.S. News & World Report, 2021
College of Social And Behavioral Sciences
The Graduate Certificate in Foundations of Data Science provides focused training that will prepare you to pursue a full graduate degree or expand your current career. It may also equip you with the skills necessary to combine multiple graduate credentials.
Through this program, you will learn skills and best practices for leveraging modern programming languages. Through comprehensive training in data collection, exploration, manipulation, storage and analysis you will graduate with the skills and experience to tackle complex data challenges.
The Foundations of Data Science Graduate Certificate also provides you with credits and experience that are directly transferable into the MS in Data Science. Learn more about the MS in Data Science.
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.
*Residents of some U.S. Territories may not be eligible. Please see our Eligibility & State Authorization page for more information.
Earning your Graduate Certificate in Foundations of Data Science will build core skills, including:
- Data visualization
- Data analysis
- Data collection
- Data exploration
- Data manipulation
- Data processing
- Data storage
- Data preservation
- Algorithmic thinking and doing
- Database development and management
- Machine learning and natural language processing
- Data science-related ethical concerns
- Data science-related societal impacts
Graduates of the Foundations of Data Science Certificate program will be prepared to pursue careers in the following fields:
- Artificial Intelligence Engineering
- Business Data Analysis
- Business Intelligence Analysis
- Business Intelligence Engineering
- Data Architecture
- Data Engineering
- Data Science
- Language Engineering
- Machine Learning Engineering
- Machine Learning Scientist
- Market Research Analysis
- Predictive Analytics
- Research Science
- Systems Engineering