MS Data Science at University of Iowa

Programme overview

The program aims to train the next generation of data scientists with the analytical and technical skills to explore, formulate, and solve complex data-driven problems in science, industry, business, and government. The program focuses on the theory, methodology, application, and ethics for working with and learning from data. Students acquire the ability to develop and implement new or special-purpose analysis and visualization tools, and a fundamental understanding of how to quantify uncertainty in data-driven decision-making.

Faculty: College of Liberal Arts and Sciences | Department: Statistics and Actuarial Science | Duration: 30 s.h. required | Location: Iowa City, IA, United States

What you will study

The Master of Science in data science requires 30 s.h. of graduate credit. Students must maintain a Graduate College program grade-point average of at least 3.00 in all coursework.

Career pathways

The program prepares graduates for careers in academia, industry, business, or government that involve data visualization and modeling, managing reproducible data analysis workflows, and collaborating and communicating with scientists and other data stakeholders.

Official programme page

Application information

Entry requirements

Applicants must meet the admission requirements of the Graduate College; see the Manual of Rules and Regulations on the Graduate College website.

Tuition is charged per credit, so the total depends on the modules you register for each year. Current fees are listed in the official fee schedule.

Graduate and professional admission requirements, costs and deadlines are set by each degree programme; applicants apply through the Admissions Profile application and may apply to only one programme unless applying to a combined degree programme.

Apply through the official page: https://admissions.uiowa.edu/

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