Go beyond the numbers. Statistics at the University of St. Thomas integrates sophisticated technology with modern statistical methods to solve real-world problems. You will learn mathematical and statistical fundamentals, technological skills for acquiring and managing data and advanced methods of data analysis and visualization throughout your undergraduate career.
Statistics is a joint collaboration between the and Departments at St. Thomas. Not only will you gain a strong understanding of statistical methods, but you will also gain technological, communication and critical thinking skills needed to analyze big data. You will be able to take classes focusing on topics like data mining, machine learning, artificial intelligence, predictive modeling and more depending on your interests and goals. Our graduates go on to work in a variety of industries as risk analysts, bio-statisticians, epidemiologists, data scientists and more.
You will take classes in mathematics, statistics, and data science. First, you will develop a strong mathematical foundation by taking Calculus, Linear Algebra, and Probability. Then, you will study statistical inference, including estimation, hypothesis testing, regression methods, time series, and predictive modeling. While completing electives focused on topics like Bayesian models, network science, and biostatistics, you will also foster your computer programming and communication skills. You will conclude your studies with practical statistical research projects in the Capstone course.
Beyond the foundational statistics coursework, you have access to a wide array of courses and electives focusing on spatial statistics, simulation and modeling, data visualization and more. We recommend connecting with a member of our faculty to develop a four-year plan that matches your interests and goals.
Sample Four-Year Plans
Statistics students will have the opportunity to work on campus as tutors and/or graders for the Mathematics Resource Center (MaRC). Students can participate in the Center for Applied Mathematics' (CAM) summer research program. Faculty members in the Mathematics and Computer and Information Sciences departments also hire students for professional research opportunities.
You will take classes in mathematics, statistics, and data science. First, you will develop a strong mathematical foundation by taking Calculus, Linear Algebra, and Probability. Then, you will study statistical inference, including estimation, hypothesis testing, regression methods, time series, and predictive modeling. While completing electives focused on topics like Bayesian models, network science, and biostatistics, you will also foster your computer programming and communication skills. You will conclude your studies with practical statistical research projects in the Capstone course.
Beyond the foundational statistics coursework, you have access to a wide array of courses and electives focusing on spatial statistics, simulation and modeling, data visualization and more. We recommend connecting with a member of our faculty to develop a four-year plan that matches your interests and goals.
Sample Four-Year Plans
Statistics students will have the opportunity to work on campus as tutors and/or graders for the Mathematics Resource Center (MaRC). Students can participate in the Center for Applied Mathematics' (CAM) summer research program. Faculty members in the Mathematics and Computer and Information Sciences departments also hire students for professional research opportunities.
Abigail is a double major in applied statistics and computer science. In addition to being involved with multiple music ensembles, Abigail also spent last January traveling to Morocco, Spain and Portugal with the Wind Ensemble. She is partnering with Dr. Sergey Berg to conduct a population reconstruction to be used by wildlife management companies or the DNR as part of her capstone project.
Statistics students have a variety of unique opportunities throughout their time at St. Thomas, including interacting with faculty one-on-one in a range of settings.
Seminars, events and student-run clubs—the possibilities are endless for getting involved at St. Thomas.
Dr. Berg uses statistical simulations to compare strategies for combating the spread of chronic wasting disease in Minnesota.
Dr. Shemyakin studies ancient games of chance to trace the history of simulation and randomized decision-making.
Choosing to major or minor in statistics means you will have access to fantastic technology in the classroom to challenge yourself and develop your skills.
Statistics students at St. Thomas learn to integrate sophisticated technology with modern statistical methods to address real-world issues. They graduate with valuable and practical skills needed in multiple industries.
There is more to learn about St. Thomas; including our ranking as a Best Value School by U.S. News & World Report, the many classroom and extracurricular activities that will be part of your student experience and so much more. Schedule a visit to see our beautiful campus or start your application today.