Graduate Program in Mathematics and Statistics
The Ph.D. degree program in Mathematics and Statistics includes concentrations in Mathematics, Bioinformatics, and Biostatistics. These concentrations address the critical need for mathematics faculty and the need for highly trained specialists in the areas of bioinformatics and biostatistics. The concentrations in bioinformatics and biostatistics will graduate strong bioinformaticians and biostatisticians with a broad background in applied areas for direct placement in business, industry, governmental institutions and research universities. The mathematics concentration will graduate mathematicians with broad knowledge of core areas of pure and applied mathematics.
The Master of Science degree programs in Mathematics provide education at the graduate level in algebra, analysis, applied mathematics, bioinformatics, and statistics. Students completing these degrees are prepared for positions in industry, government, business, college teaching, and for more advanced study in mathematics or statistics.
The MS degree in mathematics and statistics is offered with no concentration, or with one of the following concentrations: discrete mathematics, scientific computing, bioinformatics, statistics, biostatistics, and 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, bioinformatics, and scientific computing are designed for persons who wish to combine their study of mathematics with selected areas in statistics, computer science, and biology.
The Master of Science in Analytics with Concentration in Computational Data Analytics 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 Computational Data Analytics requires considerable computer science, programming and mathematical competencies.