Welcome

The division provides campus-wide services for students, faculty, and staff and serves as a gathering point for like-minded colleagues. Faculty from colleges and research units across campus—including Business, Communication, Education, Engineering, Graduate Studies, Liberal Arts, Natural Sciences, Nursing, Pharmacy, Public Affairs, Social Work, and the Texas Advanced Computing Center—have joined in this initiative.

Please explore our website to learn about the services offered through the division. The division coordinates a suite of undergraduate and graduate courses designed to address the needs of students in different disciplines. Plus we offer students the opportunity to earn a Ph.D. in Statistics, a M.S. in Statistics, a Portfolio in Applied Statistical Modeling, a Portfolio in Scientific Computation, and a Certificate in Scientific Computation. We also provide consulting services for UT students, faculty and staff, bring prominent faculty to campus as part of the Statistics Seminar Series, and host the Summer Statistics Institute each year in May.

Our hope is that you find the division welcoming and our services useful. We invite you to explore the opportunities available through the division so that you, too, can take advantage of the strengths in statistics and scientific computation on our campus. It is a worthy enterprise for both this institution and the world in which we live.

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21 May 2013—On May 16th, 2013, the Division of Statistics ...
Below are two internship positions at Freescale: Intern –...
On Tuesday, February 26, SSC core faculty hooked up with inv...
6 March 2013—The Division of Statistics and Scientific Com...

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Why Statistics and Scientific Computation?

Statistics unlike many other fields, is inherently interdisciplinary. The available statistical tools and methodologies, which are continually advancing through research, have applications in virtually every discipline. To name just a few...social science researchers use statistical modeling to examine hypotheses regarding the effectiveness of treatments influencing human behavior and the complex relationships and interactions among variables. Health professionals use similar methods to study the impacts of medicinal treatments. Engineers use statistical techniques and simulations to model uncertainty in product design and measure system reliability. Business analysts study risk in financial flows and decision making. Meteorologists use statistical models to predict weather patterns.

Scientific computation is the use of mathematical, statistical and computer-based techniques to investigate complex systems. It has applications in science, engineering, economics, medicine, sociology and many other disciplines. For example, scientific computation has helped us to understand the causes and effects of climate change, financial catastrophes, and the motions of stars, to optimize the performance of mechanical systems, to model the human brain, to control the spread of disease, and to develop more effective medicines.