Master of Science

General Information

The M.S. degree in mathematics is offered with no concentration, or with one of six possible concentrations as follows.

Master of Science in Mathematics

  • “No Concentration”=Concentration in Mathematics
  • Concentration in Bioinformatics
  • Concentration in Biostatistics
  • Concentration in Discrete Mathematics
  • Concentration in Scientific Computing
  • Concentration in Statistics
  • Concentration in Statistics and Allied Field

The concentrations in statistics are programs designed for persons who wish to prepare for careers as professional statisticians in industry, business, or government. These programs provide advanced training in applied statistics for those who are presently working in areas that use statistics, as well as for those who plan to enter these areas.
The programs present an optimal balance among the broad range of statistical techniques, mathematical methods, and computation. The concentrations in discrete mathematics and scientific computing are designed for persons who wish to combine their study of mathematics with selected areas in discrete mathematics and computer science. Opportunities exist to apply this study to related areas outside the department.

Master of Science in Data Science and Analytics

  • Concentration in Big Data and Machine Learning

The Master of Science in Data Science and Analytics with Concentration in Big Data and Machine Learning provides student with a practical and theoretical background in data science and analytics. This program features a multi-disciplinary curriculum that draws on insights from computer science, statistics, and business management. The program prepares students to apply the latest data analytics, data mining, machine learning and statistical methods to the growing real-world data sets. The students will learn the statistical and computational methods for collecting, storing and processing data; identifying patterns in large datasets; predicting and interpreting the findings; as well as for making data-driven decisions. Admission to the concentration of Big Data and Machine Learning requires considerable computer science, programming and mathematical competencies.

More details can be found in Graduate Curriculum.

Graduate Catalog

More details about the graduate program can be found in Mathematics & Statistics Graduate Catalog.