Students have the opportunity to pursue a specialized area of study through elective courses relating to data analytics, computer systems, modeling, or data science in context. While selecting all three courses from the same category is advised for students seeking a focus, students may also choose courses across categories to suit their interests, if they prefer that approach.
- Computer Systems: Students will gain depth of knowledge in the development, deployment, and analysis of the complex computer and information systems necessary for tackling large-scale data science problems.
- Data Analytics: Students will enhance their ability to make decisions through the design, collection, analysis, and interpretation of data in an uncertain world, and the communication of findings.
- Data Science in Context: Students will gain in-depth of knowledge in the technical and organizational aspects of the management, curation, description, preservation, and application of digital datasets of varying sizes in specific business, professional, or scientific contexts.
- Modeling: Students will develop and harness theoretical tools to characterize structure within data and to represent and analyze processes that may underlie this structure.
Accepted courses for each specialization are listed in the Pitt Course Catalog.
Degree Requirements