Is this program right for you?
The Master of Science in Statistics – Data Science Option (MS-DS) from UW-Madison combines a background in statistical theory, methods and practice related to data science with communication skills to train a new generation of leaders who will use data effectively for planning and decision making. The program enables graduates to move into leadership roles in their organizations or move laterally and upward into other roles.
Leveraging the power of statistical thinking will prepare to you to put data into context and communicate its meaning to others. You will build analytical, reasoning, and communication skills in realistic strategic planning sessions. As a result, the MS-DS will provide you with strong skills in working in teams of professionals and business leaders and in leading discussions grounded in data reasoning.
The MS-DS program is a total of 30 credits that can be completed in 15-21 months, depending on the preference of the student. All courses are offered in the fall and spring terms.
What you Learn
- Understand data in context
- Summarize and visualize data to reflect context and elicit insights
- Use models to guide analysis and inform collaborators
- Grasp concepts behind mathematical foundations of statistics
- Gain computing expertise with complex data analysis
- Interpret and communicate a data analysis
- Develop as a professional
Where & How you learn
- Attend classes on-campus
- Complete 30 graduate credits
- Work in teams to develop and expand skills that enhance your value in the workplace
All applicants must:
- Possess an undergraduate degree with a GPA of 3.00 or higher on a 4.00 scale based on the last 60 credits earned from the degree-granting institution
- Have some experience and skill with abstract conceptual thinking and task definition, such as that developed in typical engineering, mathematics, and computer sciences courses
Students admitted to the MS-DS program are expected to have courses equivalent to the following UW-Madison courses:
- STAT 303 R for Statistics I
- STAT 304 R for Statistics II
- Four semesters of calculus:
- MATH 221 Calculus and Analytical Geometry I
- MATH 222 Calculus and Analytical Geometry II
- MATH 234 Calculus-Function of Several Variables
- MATH 421 The Theory of Single Variable Calculus
- MATH 340 Elementary Matrix and Linear Algebra
- Highly recommended:
- STAT/MATH 309 Introduction to Probability and Mathematical Statistics I
- STAT/MATH 310 Introduction to Probability and Mathematical Statistics II