Courses & Programs
Students at the University of Richmond have a variety of ways to lean more about Data Science, Data Analytics and Computational Analysis. From inspiring courses to concentrations to bootcamps and faculty-mentored research, opportunities abound!
Programs
Data Science & Statistics Minor
The A&S minor in Data Science & Statistic, available to any UR undergraduate enrolled in A&S, RSB or JSLS, prepares students to address the challenges of collecting, understanding, and presenting structured and unstructured data from a variety of different domains and contexts.
Data Analytics Bootcamp
Learn Data Analytics in 24 weeks. Gain the specialized skills needed to analyze big data and turn it into clear insights. With a part-time schedule, you’ll attend class on evenings and weekends, allowing you to fit this program into your life.
Business Analytics concentration for business students
The four course concentration will provide students with the tools and technologies to analyze data for business applications. This concentration will expose students to SAS (Statistical Analysis Systems), SQL (Structured Query Language), and Python programming language.
Bachelor's Degree in Data Analytics
Our Bachelor of Science in Professional Studies (BSPS) major in Data Analytics combines coursework in data analytics, statistics, math, leadership and ethics to build well-rounded professionals and prepare students to be information technology specialists and decision-makers. You’ll learn skills to take complex information and turn it into valuable insights for decision making, often applying the learning to real-world situations.
Undergraduate Certificate in Data Analytics
Our undergraduate certificate in Data Analytics is designed with the flexibility to prepare recent college graduates to expand their skills and knowledge and better prepare for entry-level data analytics jobs. Additionally, the certificate can help more seasoned individuals prepare for a career change and mid-career professionals expand their skill sets to assume new data analytics roles and responsibilities.