Congratulations to the 108 student-athletes recognized at the recognition breakfast on February 26. We’re pleased to celebrate the SPCS students among those recognized.
Prepare for a Career in Data Analytics
Modern organizations produce mountains of data. It’s up to a growing sector of data professionals to analyze it and draw meaningful conclusions to help inform decision-making across the organization. Data analysts use quantitative analysis to forecast and examine trends, solve problems, identify competitive advantages, and improve performance and profits. Analysts also visualize and communicate insights and trends with a variety of key stakeholders, including leadership.
Our program integrates quantitative competencies across the curriculum. The skills you will learn are highly transferable, and graduates can use their knowledge to bring value to a wide spectrum of industries. As an added value, you’ll have the option to earn digital badges throughout the program, boosting your résumé before you even graduate.
Data Analytics
Review the options available for studies in Data Analytics at the University of Richmond School of Professional & Continuing Studies.
DA Major Program of Study
The undergraduate major in Data Analytics is available for the Bachelor of Science in Professional Studies (BSPS).
Total: 30 semester hours. Numbers after course titles represent semester hours earned.
Professional Core
9 semester hours
LDSP368U Leadership in the Global Environment, 3
ISYS309U Data Ethics, 3
MATH265U Applied Statistics, 3
Required
12 semester hours
ISYS304U Introduction to Analytics, 3
ISYS312U Predictive Analytics, 3
ISYS313U Descriptive Analytics, 3
ISYS314U Data Visualization, 3
Elective
9 semester hours
Any 300 or 400-level ISYS course
The undergraduate minor in Data Analytics is available for the BSPS and BALA. Students considering future graduate study should check entrance requirements for several programs before making selections.
Total: 18 semester hours. Numbers after course titles represent semester hours earned.
REQUIRED
9 semester hours
FOCUS
9 semester hours from the following:
Certificate in Data Analytics
An earned bachelor’s degree is required to enroll in the Certificate of Applied Studies in Data Analytics. This certificate is offered online with options to complete select courses on campus.
Total: 21 semester hours. Numbers after course titles represent semester hours earned.
Required
12 semester hours
ISYS304U Introduction to Analytics, 3
ISYS312U Predictive Analytics, 3
ISYS313U Descriptive Analytics, 3
ISYS314U Data Visualization, 3
Electives
9 semester hours
Any 300 or 400-level ISYS course