The UW Master of Science in Data Science program offers a rigorous curriculum grounded in computer science, math and statistics, management, and communication. Because courses are fully online, all course content, from multimedia lectures and e-learning tools to homework assignments, will be delivered to you through the program’s online learning management system. You can study and do homework whenever and wherever it’s convenient for you.
You are required to take each of the 12 Data Science courses in the curriculum. Each course is three credits. For semester schedules and a list of upcoming courses, please visit our Course Schedule page.
UW Master of Science in Data Science Courses
Courses Planned for 2017
DS 745: Visualization and Unstructured Data Analysis
This course covers two aspects of data analytics. First, it teaches techniques to generate visualizations appropriate to the audience type, task, and data. Second, it teaches methods and techniques for analyzing unstructured data—including text mining, web text mining, and social network analysis.
DS 785: Capstone
This course is the culminating experience taken near the end of the program. Students will apply the skills and knowledge gained throughout the program to develop and execute a data science project using real-world data and communicate results to a non-technical audience.
Prerequisites: DS 700: Foundations of Data Science, DS 705: Statistical Methods, DS 710: Programming for Data Science, DS 715: Data Warehousing, DS 730: Big Data: High-Performance Computing, DS 735: Communicating About Data, DS 740: Data Mining, DS 745: Visualization and Unstructured Data Analysis, DS 775: Prescriptive Analytics
Advisers are available Monday through Thursday 8 a.m. to 7:30 p.m., Fridays 8 a.m. to 4:30 p.m. CT, or by appointment.