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Data analytics is a deep, multi-faceted subject with significant historical context, modern relevance, and future promise. Science, technology, business, crime, governance, recreation, and our private lives are all impacted by society’s increasing capacity to generate, store, and transmit digital data.

Shepherd’s Data Analytics program is designed to develop students who have advanced capacity to derive knowledge from data and to communicate an understanding of that knowledge. This includes skill in data collection, preparation, representation using mathematics, and storage and retrieval. It involves selection of and processing with appropriate methods, development and analysis of algorithms, and implementation in computer programming languages.

Graduates of our program are expected to enjoy successful and productive careers in industry, contribute to research organizations, or follow entrepreneurial instincts.


Data Science Requirements (12 hours)

DATA 509: Statistical Analysis

DATA 510: Mathematical Modeling

DATA 513: Machine Learning in Data Mining

DATA 518: Big Data Analytics

Information Systems Requirements (12 hours)

IS 580: Networking

IS 581: Web Programming

IS 582: Management Info. Systems

IS 585: Information Security

Capstone Requirement (3 hours)

DATA 590: Applied Research Project and Capstone OR DATA 591: Internship

Electives (9 hours)

Any 500- or 600-level IS or DATA courses.

BIOL 501: Evolution

BIOL 507: Genomics and Bioinformatics