Statistics Program
Undergraduates
Graduates
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Welcome to the Statistics Program


University of Maryland's Department Statistics Program offers the degrees of Master of Arts and Doctor of Philosophy for graduate study and research in Statistics and Probability. Applied and theoretical courses prepare students for careers in academia, government, and industry. The Program’s flexible design accommodates students with varied backgrounds and interests.

Graduate students in the STAT Program find that the combination of rigorous classes, faculty-student Research Interaction Teams (RIT’s), computational support, and thesis research prepare them well for the job market. The Program also offers students from other disciplines a variety of courses to supplement their own field of study.

All recent graduates have found good positions in academia, government, or the private sector. In particular, the nearby presence of the federal government offers almost unlimited opportunities for graduates with advanced degrees in statistics.

STAT-BB


Biostatistics/Bioinformatics is an important research field in Statistics with immensely broad applications in public health, medical, and biological research. Bioinformatics is an emerging field with rapid development and has significant overlap with Biostatistics. The new Bioinformatics/Biostatistics (STAT-BB) concentration addresses the increasing research opportunities and the educational needs of this burgeoning field. To learn more details and information about STAT-BB Program, please visit the following.

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AMSC


The Applied Mathematics & Statistics, and Scientific Computation (AMSC) Program allows students great flexibility in pursuing their diverse research interests. AMSC has ~150 faculty from 40 different departments across UMD to promote training in interdisciplinary research. The Applied Statistics oncentration within the AMSC program emphasizes acquisition of advanced training in the area of statistical application along with statistical topics and development of math and computing skills necessary for the modern applied statistician.

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