Master in Mathematical Data Science

Wichita State University blends applied learning, research, and community engagement to prepare students for professional success. Located in Wichita, Kansas, WSU promotes hands-on experiences through laboratories, cooperative education, and industry partnerships that connect classroom learning to real-world challenges. The university’s practical approach supports students across a diverse range of programs, from engineering and business to the arts and health sciences.

WSU’s campus culture emphasizes innovation, entrepreneurship, and collaboration, with resources that include research centers, maker spaces, and internships with local and regional employers. Faculty mentorship and a focus on experiential learning help students build professional portfolios and networks while developing adaptable skills sought by employers. The university’s program variety and supportive academic services make it accessible for students with diverse interests and career goals.

International students find a welcoming environment with targeted support for transition, visa guidance, and cultural integration. Wichita’s cost of living and regional job market make it an attractive option for practical training and post-graduation opportunities. With an emphasis on applied research and community partnership, Wichita State is a strong choice for students seeking an education that connects academic study to meaningful professional outcomes.

The Master in Mathematical Data Science at Wichita State University is a Master's degree for students who want to work with data and math. It takes a few years to complete and gives students access to great research facilities and experienced professors.

The curriculum includes math and data science courses, as well as hands-on projects and research with faculty and industry professionals. Students develop skills in math, data analysis, and problem-solving, and learn how to apply these skills in real-world situations.

Graduates can work as Data Analysts, Mathematical Modelers, Quantitative Analysts, or Statistical Consultants in various industries, including finance and government. They can also work for companies, non-profits, or research institutions, and have opportunities for advancement in their careers.