Data Science Certificate
Learn how to analyze data to gain insights, develop new strategies, and
cultivate actionable business intelligence in areas as diverse as product
design, marketing, and finance.
KEY LEARNING OUTCOMES
Master key facets of data investigation, including data wrangling, cleaning,
sampling, management, exploratory analysis, regression and classification,
prediction, and data communication.
Implement foundational concepts of data computation, such as data structure,
algorithms, parallel computing, simulation, and analysis.
Leverage your knowledge of key subject areas, such as game theory,
statistical quality control, exponential smoothing, seasonally adjusted
trend analysis, or data visualization.
GETTING STARTED
No application is required. You simply register for graduate courses during
our fall, spring, or summer registration periods.
EARNING THE CERTIFICATE
To meet the requirements for the certificate, you must:
Complete four certificate courses for graduate credit.
Earn at least a B grade in each course.
Complete the courses within three years.
Learn more about pursuing a certificate and the process of requesting your
certificate.
CERTIFICATE COURSES
The certificate requires four courses:
One required course: CSCI E-109 Data Science or CSCI E-63C Elements of Data
Science and Statistical Learning With R
Note: This should be your final certificate course
Three electives: Choose any three courses from select group; you may only
count one introductory statistics course (STAT E-100 through STAT E-110) and
one advanced statistics course (STAT E-150 through STAT E-200)
FIND CERTIFICATE COURSES
