Biostatistics In-Person Seminar: Dr. Quackenbush on Why Networks Matter: Embracing Biological Complexity
Location: RAS W 102B
Time: 12:00 PM
The Department of Biostatistics and Data Science is the academic home for statisticians and data scientists working to help people live better by translating data into public health knowledge.
We believe that the synergy between statistics and data science has the means to revolutionize the way we improve population health and deliver healthcare services. This intersection drives evidence-based decision-making in both research and industry, and already serves an integral role in enhancing the quality of life for people around the world. We equip our students with the knowledge and experiences needed to thrive in this era of Big Data. Our well-established faculty develop and maintain interdisciplinary networks across the Texas Medical Center, and use these relationships to ensure students have the opportunity to tackle real world challenges as part of their education.
“As a biostatistics student at UTHealth School of Public Health, you will develop expertise in the theory and practice of biostatistics, working with faculty who are renowned leaders in statistical theory and its applications to health sciences. Recently we have also developed new education programs in data science, including a Data Science Certificate and an Advanced Data Science Certificate, to develop our students’ ability to analyze and integrate Big Data from biomedical and health sciences.”
Dr. Hulin Wu
Statistics is a field, with a foundation in mathematics and probability theory, to develop and use the methods, theories and computational algorithms for data collection, analysis, interpretation and presentation to address scientific or business questions, in particular, dealing with the uncertainty and variation of the data.
Biostatistics is a field to develop and use statistical methods, theories and computational algorithms to address the questions from biomedical and health science fields.
Data Science is an interdisciplinary field that uses techniques, methodologies and theories from computer science, statistics, mathematics and other quantitative fields to manage, process, analyze, visualize, integrate and annotate data in order to extract useful knowledge to address scientific questions and/or improve business performance.
Preparing the next generation of statisticians and data scientists for a data-driven world.
Biostatistics uses statistical tools and methods to make sense from the vast quantities of data generated by biomedical research and real-world practice. Through classroom instruction and hands-on experience, our students learn to operate in two roles, both as leaders in their field and as expert translators of data and statistics for their project partners and clients. Each role is equally important. As leaders in statistics, our students are primed and ready to use and develop state-of-the-art statistical methods to tackle challenging data problems from real-world projects. As project partners, our students learn to collaborate with biomedical and health science investigators to address scientific questions effectively using statistical and data science methods, and articulate findings to stakeholders in a way that is meaningful and actionable. While our PhD program in biostatistics is among the top 6 of the largest biostatistics PhD programs in the country, upon completion of their degree, all of our students are prepared to safeguard public health and improve lives of people in academia, industry, government, and beyond
Authorized in 1947, the Texas State Legislature appropriated funds for the UT School of Public Health in 1967. The first class was admitted in 1969. Currently it is one of the six schools in The University of Texas Health Science Center at Houston (UTHealth), a public academic health science center in Houston, Texas, which was created in 1972 by The University of Texas System Board of Regents. It is located in the Texas Medical Center, the largest medical center in the world.
Dr. Hulin Wu
Dr. Michael Swartz
Dr. Samiran Ghosh
Dr. Wenyaw Chan
The Department of Biostatistics & Data Science has a diverse array of statistical and data science research areas available to our faculty and students. A major strength and component of our department is the Coordinating Center for Clinical Trials (CCCT), which has a more-than-40-year history of successfully coordinating large multicenter clinical trials and providing comprehensive services for these endeavors. We also recently established the Center for Big Data in Health Sciences (CBD-HS), which hosts several Big Data research projects, including development of predictive models and heterogeneous data integration methods for Electronic Healthcare Record (EHR) data, insurance claim data, and data from public databases or data repositories.
You can see the research interests for each of individual faculty members on our faculty website.
Designed for professionals working in health care or industries related to public health, research, and biostatistics, the coursework consists of data science, data analytics and predictions, analytic methods, and data management. We offer the following degree programs:
The MS in Biostatistics is a minimum of 36 semester credit hours and is generally a two-year program for full-time students. Training is offered in research design, basic statistical theory, data analysis, computer applications, and statistical consultation. The program emphasizes fundamental statistical approach and methods and computational skills and provides the basis for doctoral level biostatistical studies.
Admission Requirement: Complete multivariate calculus.
The Ph.D. in Biostatistics is a minimum of 48 semester credit hours and is generally a four-year, full-time program beyond the Masters of Science degree or a five-year, full-time program beyond the Bachelor of Arts or Bachelor of Science degree. Prepared to become independent investigators, graduates emerge with a full understanding of the development and application of biostatistical analyses to tackle human health and disease crises. The Ph.D. curriculum is designed to allow students to prepare themselves to assume senior statistical positions in governmental or private health research agencies or follow careers in teaching and research.
Admission Requirement: Complete multivariate calculus and a semester of linear algebra.
Taking a class or getting a certificate is a great way to enhance your current career skills, or help you decide if pursuing a degree in public health is the right choice for you. Non-degree or certificate courses can count towards a degree program, as long as the courses taken align with the requirements described in the degree program planner.
Our new Center for Biostatistics Collaboration and Data Services will provide opportunities for our faculty and students to collaborate and interact with biomedical and health science investigators to address scientific questions using their statistical and data science skills.
Dr. Vahed Maroufy