In addition to University Requirements:
|Minimum Units for Completion||18|
|Additional Admission Requirements||Required|
The graduate certificate in Data Science will augment students’ individual graduate programs of study with additional skills enabling them to efficiently and correctly collect, process, store, and analyze large-scale data sets. Interdisciplinary coursework provides students with expertise in programming in a contemporary high-level programming language, data structures and programming techniques particularly appropriate for large data sets, the application of machine learning and data mining algorithms, and the use of a wide range of statistical methods, including analysis of variance and covariance and multivariate analysis. With the completion of this certificate, students interested in academic careers will be able to design and efficiently implement appropriate quantitative data analyses in their own specific area of research. Given the emerging centrality of data-driven analyses in science, engineering, business, art, and the humanities, students will be better prepared to be successful in professional practice. This certificate is designed for any student with an interest to apply data analysis techniques in their own area of interest.
Student Learning Outcomes
Graduates will this certificate will demonstrate the following competencies and program learning outcomes:
Individual program admission requirements include:
Take the following 18 units:
This certificate may be pursued and completed concurrently with a degree program or as a stand-alone certificate. Federal financial aid cannot be used if the certificate is completed as a stand-alone certificate.
Be aware that some courses may have prerequisites that you must also take. For prerequisite information click on the course or see your advisor.