If you’re a student in the online UW Master of Science in Data Science program, summer can save you time.
How much? Consider this example:
Say you take two courses each spring and fall semester, and you take summers off. You would earn your Data Science degree in three years.
Now, imagine you take two courses during summer semester, too. If you did this, you’d graduate with your master’s degree in just two years.
Summer matters a lot. Make it count.
You might be a current UW Data Science student hoping to speed up your time to graduation. Or maybe you haven’t applied to the program yet and want one semester to ease into online learning.
In either case, now is a perfect time to start planning because registration for summer courses opens March 13.
Here’s the list of courses being offered this summer:
DS 700: Foundations of Data Science
This course provides an introduction to data science and an overview of commonly used data science tools, such as Excel, PowerBI, R, and SQL Server. It also highlights the importance of data in business decision making.
DS 705: Statistical Methods
Examine statistical methods with emphasis on applications, computer implementation, and interpretation of results. You’ll use R programming language in this course, so familiarity with it is highly recommended.
UW Data Science Degree GuideGet Guide
Download a four-page overview of the UW Data Science master’s degree program, including information on courses, careers, and tuition.
DS 710: Programming for Data Science
This course introduces you to two of the most widely used programming languages for data science: Python and R. You will gain experience working with real-world data and leave the course with skills you can apply in other courses and on the job.
DS 740: Data Mining
Explore data mining methods and procedures for diagnostic and predictive analytics. You’ll learn about association rules, clustering algorithms, tools for classification, and ensemble methods. Prerequisites for this course: DS 705 and DS 710.
DS 775: Prescriptive Analytics
This course covers procedures and techniques for using data to inform the decision-making process. You’ll explore optimization, decision analysis, game theory, and simulation. Prerequisite for this course: DS 705.
If you’re a prospective student: Apply now for a Master of Science in Data Science.
If you’re a current student: Register for summer semester after March 13.