Master in Data Science

The University of Wisconsin-Milwaukee, located in Milwaukee, WI, is a public research university that offers you a unique learning experience. With its strong reputation for academic excellence and community involvement, you can benefit from its research opportunities, diverse programs, and collaborative environment. Specifically, its location in Milwaukee provides access to a dynamic city with many cultural and professional opportunities.

UWM focuses on many subjects, including engineering, business, healthcare, and the arts, with 422 programs available. You can explore different fields and find the one that suits your interests and career goals. The university's research centers and institutes, such as those in freshwater science and urban planning, provide opportunities for you to engage in groundbreaking research and projects.

In Milwaukee, you will find a unique blend of urban and natural environments, with many opportunities for outdoor activities and cultural experiences. The city benefits from its location on Lake Michigan, offering you a chance to enjoy water sports, visit museums, and explore the city's historic neighborhoods. With its active student clubs and community engagement initiatives, UWM provides a supportive and inclusive environment for international students like you to thrive and make the most of your time in the United States.

The Master in Data Science at University of Wisconsin-Milwaukee is for students who want to learn about data analysis and interpretation. This 2-year master's degree helps students gain skills in data modeling and machine learning.

The curriculum covers subjects like data mining, statistical modeling, and programming languages such as Python and R. Students also develop skills in data visualization and communication, and work on hands-on projects to apply their knowledge.

Graduates can work as Data Analysts, Business Intelligence Developers, Data Scientists, or Quantitative Analysts in industries like finance, healthcare, or technology. They can work for companies like Google, Microsoft, or IBM, helping them make informed decisions using data.