About this Degree The major will provide necessary background in mathematics and build a strong foundation in Data Science, covering data structures, algorithms and database management, data collection, data mining, machine learning, modeling, and inference. Students graduating with a B.S. in Data Science will know how to develop software, design and maintain databases, process data in distributed environments, analyze the data using techniques from statistics, data mining and machine learning, provide visualizations of the data or the results of analysis, and assist decision makers. The program will include experiential learning via a capstone course, which will focus on applying the acquired knowledge and skills in a real-world data analytics project. What you will learn Student Learning Outcomes: All graduates will be able to: Develop software, algorithms; design and manage a variety of databases and structures, process data in distributed environments; Collect and analyze the data using techniques from statistics, data mining, machine learning; Provide visualizations of the data and build statistical models to facilitate inference. Interpret results of statistical analysis and assist decision makers Career Opportunities: All graduates earning the B.S. in Data Science degree will learn the essential skills necessary to pursue careers in a variety of data-oriented companies [e.g., computing/internet companies (Google, Amazon, Facebook, IBM); engineering companies (Intel, Samsung, Boeing); finance/insurance (Goldman Sachs, AIG, Liberty Mutual); pharmaceutical companies (Johnson & Johnson)]; government/national labs (NASA, NIST, DoD) or pursue graduate studies. Course Requirements: The course requirements for the B.S. in Data Science are listed below. The coursework consists of at least 68 semester hours with 19 hours of Foundation (Area VI) and at least 49 hours of major coursework. Other Information about Degree or Program Certificate in Applied Data Science Please provide a general description of your research.
