The Department of Statistics and Probability at Michigan State University offers undergraduate majors in Statistics and Quantitative Risk Analytics.
Undergraduate Major in Statistics
Statistics involves the practice of extracting relevant information from data. From daily health information collected by our Apple or Fitbit watches to massive databases put together by corporations about prospective customers, data is practically available everywhere. Whether intentionally or inadvertently, we use data to inform us about every aspect of our daily lives. The Department of Statistics and Probability at Michigan State University (MSU) offers the necessary training to equip our undergraduate statistics majors in solving complex world problems by extracting valuable information from data through critical thinking and evidence-based methodologies.
According to the Bureau of Labor Statistics, Statisticians and Data Scientists are among the top ten fastest growing occupations in the United States. Our undergraduate program at Michigan State University prepares graduating students for entry and mid-level positions in various areas of applications of statistics including healthcare, business, manufacturing, education, finance, government and so on.
Undergraduate Major in Quantitative Risk Analytics
The Bachelor of Science degree in Quantitative Risk Analytics provides students the quantitative skills necessary for employment in the insurance and risk industry, including a mathematical treatment of probability and statistics, interest-rate theory and financial mathematics, predictive analytics and other data science tools, and insurance operations.
Contact STT for more information
If you are interested in further discussion about the STT majors, please set up an appointment to meet with the Undergraduate Advisor, Dr. Leonard Johnson, using MSU's Student Information System (SIS). You may also email him at firstname.lastname@example.org.
Arkaprabha Ganguli, STT PhD candidate, received a 2022 IMS International Conference on Statistics and Data Science student travel award to present his work “Feature selection integrated deep learning for ultrahigh dimensional and highly correlated feature space.” In recognition of this award, his name appeared in the first page of the 2022 October/November issue of the IMS Bulletin https://imstat.org/wp-content/uploads/2022/07/Bulletin51_7.pdf .
Congratulations to PhD candidate Sarah Manski for winning first place for her oral presentation at the 2022 Conference on Applied Statistics in Agriculture and Natural Resources in May at Utah State University in Logan, Utah.
Abhijnan Chattopadhyay graduated from MSU with a Ph.D. in statistics this summer under the co-mentorship of Tapabrata Maiti and David Kramer. As a statistician, Abhijnan had the flexibility and skillset to work in several disciplines, which is how he found himself at the MSU-DOE Plant Research Laboratory (PRL).
PhD candidate Andriana Manousidaki was recently presented with the 2021-2022 William L. Harkness Award for outstanding teaching by a graduate student. The award is made possible by a generous gift from William Harkness, a doctoral alumnus from the Department of Statistics and Probability. Recipients are chosen for their remarkable teaching based on student evaluations and faculty observations of teaching.