Second Major in Financial Engineering (Business or Engineering) Second Major in Systems Science and Engineering. Modules on counting; combinatorial tools; binomial coefficients and Pascal's triangle; Fibonacci numbers; combinatorial probability; integers, divisors and primes; and graphs will be covered as well as additional topics as time permits. Lead. Topics include no-arbitrage pricing of financial derivatives, risk-neutral probability measures, the Cox-Ross-Rubenstein and Black-Scholes-Merton options pricing models, and implied volatility. AP credit can be applied, and students who have completed Math 203 Honors Mathematics I and Math 204 Honors Mathematics II will have this requirement waived. We also offer a Data Science option which is ideal for students with an interest in developing … Students will learn a critical approach to reading statistical analyses reported in the media, and how to correctly interpret the outputs of common statistical routines for fitting models to data and testing hypotheses. L24 Math 460 Multivariate Statistical Analysis. Continuation of Math 233 emphasizing topics of interest in the physical sciences. Some plan careers in secondary education. Systems Science & Engineering. Study Abroad: Students interested in a semester or year abroad studying mathematics intensively should consider the Budapest Semesters in Mathematics Program. Learn. L24 Math 3200 Elementary to Intermediate Statistics and Data Analysis. Prerequisite: CSE 131 or 200, Math 3200, or permission of instructor. Prerequisite: Math 233 and 217, or permission of instructor. Students intending to pursue a major or minor in mathematics or wishing to take 400-level or above statistics courses should instead take Math 3200. Credit 3 units. Recommendations for students to receive Latin honors (which are awarded by the College of Arts & Sciences, not the department) are keyed to the requirements for the distinction awards, as indicated below. Instructors: Frankel | Johnson | Schaefer | Deng | Sampat | Sinha Babu | Huang | Fragkos | John E. McCarthy Spencer T. Olin Professor of Mathematics PhD, University of California, Berkeley Analysis; operator theory; one and several complex variables, José Figueroa-López Director of Undergraduate Studies PhD, Georgia Institute of Technology Statistics; probability and stochastic processes; mathematical finance, Brett Wick Director of Graduate Studies; Professor of Mathematics PhD, Brown University Complex analysis; harmonic analysis; operator theory; several complex variables, Soumendra Lahiri Stanley A. Sawyer Professor PhD, Michigan State University Mathematical statistics and data science, Rachel Roberts Elinor Anheuser Professor of Mathematics PhD, Cornell University Low-dimensional topology, Quo-Shin Chi PhD, Stanford University Differential geometry, Renato Feres PhD, California Institute of Technology Differential geometry; dynamical systems, José Figueroa-López PhD, Georgia Institute of Technology Statistics; probability and stochastic processes; mathematical finance, Matthew Kerr PhD, Princeton University Algebraic geometry; Hodge theory, Steven G. Krantz PhD, Princeton University Several complex variables; geometric analysis, Nan Lin PhD, University of Illinois at Urbana-Champaign Statistics, John Shareshian PhD, Rutgers University Algebraic and topological combinatorics, Xiang Tang PhD, University of California, Berkeley Symplectic geometry; noncommutative geometry; mathematical physics, Brett Wick PhD, Brown University Complex analysis; harmonic analysis; operator theory; several complex variables, Mladen Victor Wickerhauser PhD, Yale University Harmonic analysis; wavelets; numerical algorithms for data compression, Roya Beheshti Zavareh PhD, Massachusetts Institute of Technology Algebraic geometry, Jimin Ding PhD, University of California, Davis Statistics, Gregory Knese PhD, Washington University Complex function theory; operators; harmonic analysis, Todd Kuffner PhD, Imperial College London Statistics; likelihood; asymptotics; econometrics, Ari Stern PhD, California Institute of Technology Geometric numerical analysis; computational mathematics, Aliakbar Daemi PhD, Harvard University Gauge theory; low-dimensional topology; symplectic geometry, Francesco di Plinio PhD, Indiana University Bloomington Harmonic analysis; partial differential equations, Laura Escobar Vega PhD, Cornell University Combinatorics and algebraic geometry, Steven Frankel PhD, University of Cambridge Geometric topology and dynamics, Martha Precup PhD, University of Notre Dame Applications of Lie theory to algebraic geometry and the related combinatorics, Yanli Song PhD, Pennsylvania State University Noncommutative geometry; symplectic geometry; representation theory, William M. Boothby PhD, University of Michigan Differential geometry, Lawrence Conlon PhD, Harvard University Differential topology, Ron Freiwald PhD, University of Rochester General topology, Gary R. Jensen PhD, University of California, Berkeley Differential geometry, Robert McDowell PhD, Purdue University General topology, Richard Rochberg PhD, Harvard University Complex analysis; interpolation theory, Jack Shapiro PhD, City University of New York Algebraic K-theory, Edward Spitznagel PhD, University of Chicago Statistics; statistical computation; application of statistics to medicine, Guido L. Weiss PhD, University of Chicago Interpolation of operators; harmonic analysis; Lie groups, Edward N. Wilson PhD, Washington University Harmonic analysis; differential geometry, David Wright PhD, Columbia University Affine algebraic geometry; polynomial automorphisms, Michael Landry PhD, Yale University Low-dimensional geometry and topology, Majid Noroozi PhD, University of Central Florida Data science and machine learning, Andrew Walton Green PhD, Clemson University Harmonic analysis and partial differential equations, Ben Wormleighton PhD, University of California, Berkeley Algebraic and symplectic geometry, Meric Augat PhD, University of Florida Free analysis; multivariable operator theory; noncommutative algebra; free skew fields, Shuhao Cao PhD, Purdue University Numerical PDF and optimization, Benjamin Cooper Boniece PhD, Tulane University Long-range dependence; self-similar processes; wavelet-based statistical inference, Humberto Diaz PhD, Duke University Algebraic geometry, Abigail Jager PhD, University of Chicago Statistics and causal inference, Silas Johnson PhD, University of Wisconsin-Madison Algebraic number theory; arithmetic statistics, Karl Schaefer PhD, University of Chicago Algebraic number theory, Blake Thornton PhD, University of Utah Geometric topology, Lisa M. Kuehne Program Coordinator, University College & Center for Advanced Learning AM Mathematics, Washington University Undergraduate mathematics education, On this page: The three-course calculus sequence (9 units)* and an introductory computer science course (3 units)**: One of the following full-year 400-level sequences*: At least one course from the following list (that has not already been used to fulfill any of the previous requirements listed): At least two probability or statistics courses at the 400 level or above, which may include the following: Students who entered Washington University. Designed specifically for high school students—our on-campus summer programs give you a taste of life at WashU. Depending on time and interests, additional topics will be chosen from: compressive sensing; efficient acquisition of data; sparsity; low-rank matrix recovery. Linear and quasilinear first-order equations, derivation of some of the classical PDE's of physics, and standard solution techniques for boundary and initial value problems. Credit 4 units. L24 Math 410 Introduction to Fourier Series and Integrals. Math 131E covers the same content as Math 131 but includes the additional review of precalculus concepts integrated throughout the semester. • Physics 501/Math 501 and Physics 502/Math 502 also are recommended. Offer to work as a grader for a course (best time to ask is in the mid to late summer), or as a Peer-Led Team Learning (PLTL) group leader (apply in March for the following academic year). This could be for a number of reasons, such as not having enough data on the major or school to make an accurate assessment of its quality. Washington University in St. Louis 1 Brookings Drive St. Louis, MO 63130-4899. Eight upper-level courses from Math or Computer Science & Engineering can be chosen from an approved list, with the following caveats: No fewer than three courses can be chosen from each department. Past offerings have included such topics as random walks, Markov chains, Gaussian processes, empirical processes, Markov jump processes and a short introduction to martingales, Brownian motion and stochastic integrals. Due to this, the school was ranked #719 out of all colleges and universities that offer this degree. The Bachelor of Science program in Statistics provides rigorous training in the theoretical foundations of statistics, statistical modeling and methodology, and applied data analysis. St. Louis, MO 63130 The connection between intervals and logarithms. A brief review of the definite integral and Fundamental Theorem of Calculus. Courses from University College cannot be used to fulfill major requirements. Graduate Admissions Campus Box 1220 One Brookings Drive St. Louis, MO 63130 314-935-5830 Email us This major provides useful general knowledge about statistics for students who will be looking for a job after the undergraduate degree. Core topics include: probability in high dimensions; curses and blessings of dimensionality; concentration of measure; matrix concentration inequalities. Introduction to the rigorous techniques used in more advanced mathematics. Math 318 or Math 308 is recommended. Cross-validation. No upper-level course used to satisfy a minor requirement can be counted toward the requirements of any other major or minor (i.e., no double-counting of courses). A summer internship can be a good addition to your resume and a chance to see whether you might like working in a certain field. So, when in doubt, ask. At least three of the four upper-level courses required for the minor must be courses that are home-based in the mathematics and statistics department. Courses transferred from other accredited colleges and universities with department approval can be counted, with the following caveats: Courses transferred from a two-year college (e.g., a community college) cannot be used to satisfy upper-level requirements. Techniques of survival analysis are used in medical research, industrial planning and the insurance industry. Mathematics has always held a central position in the liberal arts, and over time it has also come to play an important role in more and more aspects of our lives. Learn@Work will help you manage your work and career planning at Washington University in a single application. Visit the Career Center to find possible internships that spark your interest. Theory and practice of linear regression, analysis of variance (ANOVA) and their extensions, including testing, estimation, confidence interval procedures, modeling, regression diagnostics and plots, polynomial regression, colinearity and confounding, model selection, geometry of least squares, etc. Majors are encouraged (but not required) to consider a senior project or an honors project. Prerequisites: Math 132, 309 and 310, or permission of the instructor. The MS in Data Analytics and Statistics (MSDAS) is an academic master's degree designed for students interested in learning statistical techniques necessary to make informed decisions based on data analysis. Qualitative theory of ordinary differential equations. A willingness to learn new mathematics as needed is essential. The definite integral and Fundamental Theorem of Calculus. Western's B.S. The MS in Data Analytics and Statistics (MSDAS) is an academic master's degree designed for students interested in learning statistical techniques necessary to make informed decisions based on data analysis. WashU offers students an abundance of majors, programs, and career paths in four schools with excellent academic advising. WebSTAC, ©2020-21 Washington University in St. Louis, One course in computer science chosen from, One additional upper-level (300- or 400-level) elective, Major in Mathematics and Computer Science, Notes to All Majors in Mathematics and Statistics, Department of Mathematics and Statistics webpage, Department of Mathematics and Statistics website, Budapest Semesters in Mathematics Program, Elementary to Intermediate Statistics and Data Analysis, Introduction to Fourier Series and Integrals, Calculus I (AP credit may satisfy this requirement), Calculus II (AP credit may satisfy this requirement), Foundations for Higher Mathematics with Writing, Probability and Statistics for Engineering, Introduction to Calculus of Several Variables. Prerequisites: Math 493 and either Math 3200 or 494; or permission of the instructor. Introduction to graph theory including the basic definitions and theorems and some more advanced topics that drive much current research in graph theory: Ramsey's Theorem, random graph theory and, if time permits, Szemeredi's regularity lemma. This is the first half of a one-year calculus sequence for first year students with a strong interest in mathematics with an emphasis on rigor and proofs. Matrices, linear systems, and determinants. L24 Math 302 Elementary Geometry from an Advanced Point of View. Studying Mathematics and Statistics at WashU The Department of Mathematics and Statistics is committed to providing a setting that fosters excellence in teaching, learning and research, and that communicates to students the beauty and excitement of mathematics. Introduces the Bayesian approach to statistical inference for data analysis in a variety of applications. A modern course in multivariate statistics. You might not even be able to guess what those around you have been through to get here. University College: Office of Admissions and Student Services MSC 1085-414-20 Washington University in St. Louis 11 N. Jackson Ave, Suite 1000 St. Louis, MO 63105-2153 The basic theory of Fourier series and Fourier integrals including different types of convergence. Prerequisite: Math 310 or permission of instructor. Use Learn@Work to complete and track compliance-based training, LinkedIn Learning courses, and other professional development activities. At Washington University, the biology department has a nationally recognized research program, a distinguished history, and a strong commitment to excellence in undergraduate teaching. At most 3 units of independent study or research work can count toward the major requirements. Prerequisites: Math 233. A major objective of the course is to gain familiarity with basic R commands to implement common data analysis procedures. The department offers: Major in Mathematical Sciences, Major in Mathematics, Major in Applied Mathematics, Major in Statistics, Major in Mathematics and Computer Science, Minor in Mathematics. Math 2200 or 3200 (Elementary Probability and Statistics; required for tracks in Ecology and Evolution, Genomics and Computational Biology, and Microbiology) and Math 322 (Biostatistics) are valuable, particularly in research. Credit 3 units. Prerequisites: CSE 131 or 200, Math 309 and 3200, or permission of the instructor. All Statistics majors MUST complete STAT 342 prior to enrolling in STAT 421 and 423. 1,164,502 outpatient visits to Washington University Physicians in 2018 Student-organized clinics, established by medical students and staffed by students and faculty, provide free medical care to needy people in the St. Louis community. Art: NSM, L24 Math 308 Mathematics for the Physical Sciences. W I started at WashU knowing I was interested in math, but I wasn't sure how I could make that into a career. Visit online course listings to view semester offerings for L24 Math. Prerequisite: Math 310 or permission of instructor. Make your mark. Credit 3 units. Majors are encouraged to complete additional work (perhaps even a minor or a second major) in other related areas. Prerequisites: Math 439 and a course in linear algebra (such as Math 309 or 429), or consent of instructor. By volunteering you can get to know statistics students, develop leadership skills and to find out if STAT major is the right choice for you. Total units required: 24 units of upper-level courses, including the following: Students whose primary major is secondary education may fulfill this requirement by taking Math 302 Elementary Geometry from an Advanced Point of View and Math 331 Algebraic Systems. 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