About this field of study · CIP 30.7101
A program that prepares individuals to apply data science to generate insights from data and identify and predict trends. Includes instruction in computer databases, computer programming, inference, machine learning, optimization, probability and stochastic models, statistics, strategy, uncertainty quantification, and visual analytics.
- Institution tuition
- $14,346 in-state / $14,346 out-of-state annual rate at this institution, not program-specific
- Field
- Data Analytics
- Earnings and debt outcomes are not published for this program — the source suppresses small cohorts and new programs.
- Level
- Master's Degree
- Degrees awarded
- 26 (reporting year)
- Institution website
- Visit institution site
Common careers
Management Analysts
Conduct organizational studies and evaluations, design systems and procedures, conduct work simplification and measurement studies, and prepare operations and procedures manuals to assist management in operating more efficiently and effectively. Includes program analysts and management consultants.
Considerable preparation needed
Computer Programmers
Create, modify, and test the code and scripts that allow computer applications to run. Work from specifications drawn up by software and web developers or other individuals. May develop and write computer programs to store, locate, and retrieve specific documents, data, and information.
Considerable preparation needed
Biostatisticians
Develop and apply biostatistical theory and methods to the study of life sciences.
Extensive preparation needed
Clinical Data Managers
Apply knowledge of health care and database management to analyze clinical data, and to identify and report trends.
Considerable preparation needed
Postsecondary Teachers, All Other
All postsecondary teachers not listed separately.
Occupations linked to this field of study by the NCES CIP-SOC crosswalk; descriptions from O*NET.