The Master of Science in Data Science program offers a curriculum based on theoretical foundations and practical applications. The core curriculum for the data science degree is based in applications and theory from statistics, computer science and data analysis. These foundational courses will present topics within the larger context of data science methodology to ensure that students develop the necessary skills to apply their knowledge. To support their professional formation, students are provided many opportunities, via electives and team-based capstone projects, to gain domain-specific knowledge of how data science is utilized in a variety of fields. Consistent with the mission of Seattle University to empower leaders for a just and humane world, the program places an emphasis on ethical and legal issues in data science.
The 45-credit curriculum consists of ten required 3-credit courses, three 3-credit elective courses, and two 3-credit capstone courses. Electives include such topics as time series modeling, machine learning, geographic information systems, text processing, web analytics, and social media analytics. Students will be able to complete the program on a two-year (six quarter) or longer schedule.
Courses for the Seattle U MSDS program are taught in the evenings and the program is designed to accommodate full-time students as well as working professionals.
The data science degree culminates in a two-quarter capstone experience. Students will integrate lessons from multiple courses to solve a problem for a real-world enterprise.
Students will work in small teams to define and carry out a data analysis project from beginning to end. This will require the planning and execution of a real-world application of data science for an industry partner. Key steps may include:
More Information: Course Catalog
Tuesday, January 25 at 4:30 PM