Purdue University’s online Master's in Applied Statistics prepares students to advance theory, methods and computing for the purpose of meeting today’s emerging science and technology by including ...

Purdue’s Graduate Certificate in Applied Statistics is a 12 credit-hour program for those looking to improve their analytical abilities while gaining a greater knowledge of statistics. By taking our ...

After finishing the University of Delaware’s online master of science in applied statistics program, Anaise Higgins, a UD Class of 2023 graduate, has catapulted herself higher up in the world of data ...

Developed by top-tier faculty at The University of Texas at Dallas, the Master of Science in Data Science and Statistics degree program balances applied and theoretical coursework — along with ...

Statistics, biostatistics, and data science are closely related fields. Broadly, they all teach a set of mathematical and computational skills for analysis and modeling of data, as well as ...

Applications must be submitted by the priority deadline of February 15 for fall semester to be considered for graduate assistantships. Applications are accepted for fall, spring and summer I.

Ten students are subjecting themselves to a summer of statistics at Javier Rojo's undergraduate research institute at the University of Nevada, Reno. The students come from across the country and are ...

Our Master's in Mathematics opens doors to a range of career opportunities in business, industry, science, engineering and education. UMass Lowell's Master of Science in Mathematics program offers ...

The completely online Master of Science in Applied Statistics (ASTAT) is built with career success in mind. Its students range from recent graduates to professionals who want to enhance their ...

*Other graduate mathematics courses may also be taken in place of an optional course with permission of the student's advisor. **Students cannot take both MATH.5750 and MATH.5760 for program credits.

This program will give students a combination of knowledge of statistical techniques, experience with using these techniques in applied situations, and understanding of the theoretical principles ...