BS Mathematics Advising Pathways

The Bachelor of Science in Mathematics allows each student to choose a concentration based on their own academic and career goals. While earning a BS Mathematics degree a student may choose to follow a pathway in pure mathematics, applied mathematics, statistics and probability, data science, scientific computation, actuarial science, or UTeach. The BS Mathematics Pathways provide guidance on relevant courses and certificate programs for these different fields and applications of mathematics. These pathways prepare graduates to either enter the workforce or to pursue graduate studies.

All students pursuing the Bachelor of Science in Mathematics (Option VII: Mathematics) degree must complete a lower-division calculus sequence, a minimum of 33 hours of upper-division coursework in mathematics, an introductory computer programming course, and a Math in Context course.

Pure Mathematics Pathway
The Pure Mathematics pathway is suitable for students who intend to go to graduate school and continue their studies in pure mathematics.
Faculty Advisor: Jennifer Austin

Applied Mathematics Pathway
Applied Mathematics, Computation, Data Science, and Statistics are critical fields of study for university students in the 21st century. Science and Technology increasingly address complex and non-linear problems that require both mathematical and computational tools. The objective of the Applied Mathematics pathway is to offer BS majors in Mathematics an opportunity to assemble a slate of courses that coupled with strong academic records will better prepare them for positions in high-tech, finance, health, government agencies, national laboratories, or graduate study where innovative quantitative skills are required. This program focuses on algorithms, computation, modeling, numerical analysis, PDEs, and theoretical statistics. The University of Texas is a world-center for interdisciplinary applied mathematics, and the department’s research group in Applied Mathematics is ranked #8 in the country.
Faculty Advisor: Jennifer Austin
Faculty Contacts: Todd Arbogast, Irene Gamba, Rachel Ward 

Statistics and Probability Pathway
The Statistics and Probability Pathway is aimed for the students who want to go to graduate school to continue their studies in Probability, Statistics, and other fields (see below) or those who intend to enter the job market right away. Note that this pathway is most suitable for math majors intending to go to graduate studies (Master in Statistics, Finance, Economics, etc. or Ph.D.). Math Majors who want to get a job in the field right away may have to take some, if not most, classes from the Data Science Pathway (or some coding classes).
Faculty Advisor: Jennifer Austin
Faculty Contacts: Mihai Sirbu, Gordan Zitkovic, Joe Neeman, Stephen Walker

Data Science Pathway
Data science is revolutionizing every industry, every area of science, and everyday life. The foundation of data science lies in Mathematics. The Data Science Pathway is suitable for mathematics majors who plan to enter the job market directly after completing their BS mathematics degree.
Faculty Advisor: Jennifer Austin
Faculty Contacts: Ngoc Tran, Rachel Ward, Per-Gunnar Martinsson, Peter Mueller, Stephen Walker

Scientific Computation Pathway
Computation has become an equal and indispensable partner of theory and experimentation in the advancement of scientific knowledge and engineering practice. Numerical simulation is used to study complex systems and natural phenomena, and especially in cases that would be too expensive, too dangerous, or impossible to study any other way. Scientific computing involves the study and advancement of computational methods and data analysis techniques, and it integrates concepts and principles from mathematics with computer science and the various branches of science, engineering, and medicine. The Scientific Computation Pathway is suitable for students who intend to pursue employment in a company using technical computing and those who seek to enroll in graduate school to continue their studies in scientific computing and numerical analysis.
Faculty Advisor: Jennifer Austin
Faculty Contacts: Todd Arbogast, Bjorn Engquist, Irene Gamba, Oscar Gonzalez, Per-Gunnar Martinsson, Kui Ren, Richard Tsai

Actuarial Mathematics
Most students wishing to enter the actuarial profession choose to major in mathematics within the College of Natural Sciences and concentrate in Actuarial Science.
Faculty Advisor: Mark Maxwell
Faculty Mentor: Alisa Havens Walch

UTeach Mathematics
UTeach allows you to complete a rigorous degree in any STEM field and qualify to teach mathematics, science, engineering, or computer science at the high school level.
Faculty Advisor: Pamela Elias
Staff Advisor: Annette Hairston