Mathematics University of Missouri–St. Louis

Overview

The Mathematics programme at the University of Missouri–St. Louis provides a comprehensive graduate education designed to foster deep analytical thinking and complex problem-solving abilities. Students can tailor their studies through specialised tracks in either pure or applied mathematics to suit their specific career aspirations.

This degree is structured to accommodate diverse academic backgrounds, provided applicants hold a bachelor's degree with significant mathematical content. The curriculum balances theoretical rigour with practical application, ensuring graduates are prepared for doctoral research, collegiate teaching, or high-level technical roles in the private sector.

Why Mathematics at the University of Missouri–St. Louis?

The University of Missouri–St. Louis is home to a Department of Mathematics and Statistics that conducts influential research in fields such as topology, probability, and computational mathematics. Faculty members are internationally recognised for their contributions, providing students with access to cutting-edge academic insights.

Students benefit from dedicated facilities such as the Math Academic Center, which offers free individual assistance to support academic success. Additionally, the Math Technology Learning Center provides a specialised environment for online coursework, resource access, and collaborative study under the guidance of experienced instructors.

The institution is noted for its commitment to affordability and is ranked as a top destination for transfer students and adult learners. By choosing this programme, students join a vibrant academic community that emphasises civic responsibility alongside professional excellence and innovative research opportunities.

Tuition Fee Breakdown

• International fee: USD 1610 per credit
• National fee: USD 1610 per credit
• Local fee: USD 677 per credit

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

To earn the degree, candidates must complete 30 credit hours of coursework, including a selection of core and elective subjects. Modules may include:

• Exploratory Data Analysis with R
• Mathematical Statistics
• Statistical Methods in Learning and Modeling
• Bayesian Statistical Methods
• Scientific Computation
• High-dimensional Data Analysis
• Statistical Computing
• Statistical Data Analysis for GIS
• Remote Sensing Digital Image Analysis
• Mathematics of Artificial Neural Networks
• Artificial Intelligence
• Machine Learning
• Data Mining
• Deep Learning
• Business Analytics

Careers with Mathematics

Graduates from the University of Missouri–St. Louis are highly sought after for their ability to navigate a changing workplace with flexible and dynamic skill sets. The programme prepares individuals for diverse roles across finance, technology, education, and government sectors.

Common career paths for graduates include:

• Data Scientist
• Actuary
• Quantitative Analyst
• Financial Analyst
• Market Research Analyst
• Operations Research Analyst
• Data Modeling Specialist
• Statistician
• Math Teacher
• GIS Analyst