Every day, around the world, people use data to make decisions. But where does this data come from? Who interprets it, and how does their interpretation influence our decisions? If you like working with data and you’re good with math, then think about statistics as a way to bring together all of your talents, skills and interests. Whether you want to shape public policy, design clinical trials, help organizations grow or improve healthcare outcomes, see how you can change the world as a statistician.
As a statistics major, you'll learn how to manage and analyze data in different contexts (such as health care and finance) using various types of software to solve real-world problems. You'll typically take a few required courses in statistics methods, probability theory and other key concepts, as well as some classes in calculus. Beyond that, many of your courses will be electives, including advanced statistics classes where you can dive into topics such as surveys, quality control and computing.
At UB, you'll find plenty of opportunities to make friends, build your professional network and learn more about your interests.
Nearly every type of organization deals with data, which means they need people (like you!) who can understand and interpret it. With a statistics degree, you might find yourself working in:
Some common career choices include:
You can also choose to continue your education with a graduate degree in applied statistics, theoretical statistics or a related field.
"I have had wonderful faculty members as mentors to support and guide me to my success at UB."
As our students will tell you, the faculty members at UB support you every step of the way. They're here to inspire you, answer your questions and help you prepare for whatever comes next after graduation.
In addition, our professors are expert researchers who have used, developed and applied statistical techniques in a variety of fields, and have collaborated with leading organizations such as the National Institutes of Health (NIH). Faculty members have expertise in a range of related areas, often including (but certainly not limited to) health care informatics, computer science, data science and artificial intelligence.