Master of Science in Mathematics - Data Science

Data Science is the art and science of transforming raw data into deliverable data products in order to help businesses or government agencies make more informed decisions. The Concentration in Data Science consists of eight major components:Data Visualization,Scientific Methods, Statistical Modeling, Statistical Computing, Real-world Data Applications, Data ConsultingData Research, Data TechnologyThe Concentration in Data Science prepares students for a job as a Data Scientist, as well as providing a strong background for many other careers

Have completed a bachelor's degree with a grade point average of at least 3.0 in mathematics courses taken. Have completed 15 credit hours of mathematics courses beyond calculus, including MATH 3230/MATH 8235 or equivalent. Applicants lacking the 15 credit hours beyond calculus may be eligible for admission in a provisional or unclassified status with a deficiency to be made up in addition to the degree requirements listed. Applicants who satisfy the admission requirements above except for the GPA requirement may be granted provisional admission to the graduate program. They will be granted unconditional admission upon completion of 12 graduate hours with a grade of "B" or better in each course.