The increasing rate at which data is produced, captured, and made available for consumption is fundamentally changing science, business and industry, healthcare, and even our social lives. As a result, there is no shortage of jobs within this space, but rather a shortage of talent. The emerging field of data science is, by definition, wide ranging and spans a number of academic disciplines. Despite this breadth, there exists a collection of computational and data-oriented competencies that provide necessary foundations for the application of data science to a wide range of problems, and can form a common language between the disciplines.
Our 12-credit graduate certificate in Applied Data Driven Methods (ADDM) is designed for individuals looking to develop the types of computational and data skills necessary to support the increasingly data-oriented nature of many careers. The curriculum is aimed at students whose primary academic background lies outside of computing and information, but whose academic or professional aspirations require expertise in the understanding and application of data-driven methods.
The following introductory course is required:
Complete two of the following three courses:
- CMPINF 2110 - MANAGING, QUERYING, AND PRESERVING DATA
- CMPINF 2120 - APPLIED PREDICTIVE MODELING
- CMPINF 2130 - THE ART OF DATA VISUALIZATION
Complete at least one elective course. Students may either complete any course approved for the Core requirement which has not already been used toward that requirement, or they may complete one of the following: