The LMU Mathematics, Statistics and Data Science Department offers undergraduate degrees in Mathematics (B.A. and B.S.), Applied Mathematics (B.S.), and Statistics and Data Science (B.S.), as well as a Master's degree in teaching mathematics (M.A.T.). In addition, we offer options for minoring in mathematics and we support a mathematics concentration for the Liberal Studies major.
Mathematics majors obtain a broad foundation in pure, applied, and computational mathematics that prepares them for a wide variety of career options in industry, business, government and teaching, as well as for admission to graduate programs or professional schools. Recent LMU math alumni now work for Intel, Raytheon, Kaiser Permanente, Google, JPL, and Mercer Consulting. Others have pursued advanced degrees in mathematics, statistics, economics, public health and psychology. Still others have become educators or attended law and medical school. All of our students have enormous flexibility in their future opportunities because of the training and experiences gained through our programs.
In addition to their coursework, our students participate in a variety of activities outside the classroom, including a seminar series featuring academic and industry professionals, performing research with faculty, attending and giving presentations at conferences, and many others.
Degrees and Courses

The Bachelor of Science in Mathematics program is designed for students who want a broad foundation in mathematics. By choosing appropriate mathematics elective in consultation with her/his faculty advisor, students can emphasize in pure mathematics, applied and computational mathematics, or a combination of both. The degree can be tailored to meet the needs of students who want to pursue a graduate degree in pure or applied mathematics, or intend to work in a mathematicsrelated field in industry.
Please view the degree requirements (including a sample fouryear plan), as found in the LMU Bulletin. Please pay special attention to the fouryear plan, as it outlines the typical sequence of courses, assuming you enter LMU as a firstyear student and have no AP or prior University credit for courses. Students are strongly encouraged to consult frequently with their advisor about the sequence of classes.

The Bachelor of Science in Applied Mathematics program is designed for students who want an interdisciplinary program that combines the study of applied and computational mathematics with a scientific area of specialization. This program can be tailored to meet the needs of students who expect to pursue a graduate degree in applied mathematics or science, expect to doublemajor or minor in a scientific field, or intend to work in a mathematicsrelated interdisciplinary field in industry.
Please view the degree requirements (including a sample fouryear plan), as found in the LMU Bulletin. Please pay special attention to the fouryear plan, as it outlines the typical sequence of courses, assuming you enter LMU as a firstyear student and have no AP or prior University credit for courses. Students are strongly encouraged to consult frequently with their advisor about the sequence of classes.

This degree program is designed for students who want an interdisciplinary course of study that combines computing with statistical analysis and data science. The degree is designed to meet the needs of students who expect to work in a data related field in industry or pursue a graduate degree in either statistics or data science.
Please view the Statistics and Data Science Degree Requirements (including a sample fouryear plan). A version detailed in the bulletin is forthcoming. Please pay special attention to the fouryear plan, as it outlines the typical sequence of courses, assuming you enter LMU as a firstyear student and have no AP or prior University credit for courses. Students are strongly encouraged to consult frequently with their advisor about the sequence of classes.

The Bachelor of Arts in Mathematics program is designed for students who are interested in pursuing a career in teaching mathematics at the secondary (i.e., high school) level. With the help of her/his advisor, the student may design a schedule carefully so that s/he can complete the 2042 California Preliminary Single Subject (Secondary) Teaching Credential during her/his four years at LMU. For more details on the additional requirements for a Teaching Credential, and a sample fouryear curriculum which includes both the requirement for the Bachelor of Arts in Mathematics and the Teaching Credential, see the Secondary Teacher Preparation Program section of the LMU Bulletin.
Please consult with your academic advisor on how to finish the Bachelor of Arts in Mathematics and the Teaching Credential. Please view the degree requirements (including a sample fouryear plan), as found in the LMU Bulletin. Please pay special attention to the fouryear plan, as it outlines the typical sequence of courses, assuming you enter LMU as a firstyear student and have no AP or prior University credit for courses. Students are strongly encouraged to consult frequently with their advisor about the sequence of classes.

This major is designed for students with interests in a variety of disciplines to study mathematics. The Bachelor of Mathematics degree is an intentionally flexible program that provides a solid base of lower and upper division mathematics courses and has over onethird of the mathematics requirements made up of electives. Modelled after degree requirements in the Bellarmine College of Liberal Arts, this program requires students to complete the full University Core and is ideal for students interested in doublemajoring in mathematics and a liberal art.
View curriculum requirements.

The Master of Arts in Teaching Mathematics program provides an opportunity for secondary school teachers to broaden their background in the mathematical sciences and to connect this knowledge with current education practices.
Visit the MAT Program page.

The Mathematics Department offers minors in Mathematics and Statistics and Data Science. The Mathematics minors are designed for students majoring in another discipline (e.g. engineering, physics, business, economics, computer science, or liberal studies) who have an interest in continued mathematical study and who wish to develop an undergraduate background in mathematics that goes beyond the requirements of their degree program. The additional mathematics preparation provided by our minors give students a real advantage in pursuing graduate work in their discipline as well as important quantitative and reasoning tools directly applicable in their chosen careers.

Mathematics (MATH)
 MATH 101 Algebra
 MATH 102 Quantitative Skills for the Modern World
 MATH 103 Quantitative Skills for the Modern World Lab
 MATH 104 Elementary Statistics
 MATH 106 Mathematics for Elementary Teachers I
 MATH 112 Calculus for Business
 MATH 120 Precalculus Mathematics
 MATH 122 Calculus for the Life Sciences I
 MATH 123 Calculus for the Life Sciences II
 MATH 131 Calculus I
 MATH 132 Calculus II
 MATH 181 Introduction to Programming
 MATH 190 Workshop in Mathematics I
 MATH 191 Workshop in Mathematics II
 MATH 198 Special Studies
 MATH 199 Independent Studies
 MATH 204 Applied Statistics
 MATH 205 Applied Statistics
 MATH 207 Mathematics for Elementary Teachers II
 MATH 234 Calculus III
 MATH 245 Ordinary Differential Equations
 MATH 246 Differential Equations and Linear Algebra
 MATH 248 Introduction to Methods of Proof
 MATH 249 Introduction to Methods of Proof
 MATH 250 Linear Algebra
 MATH 251 Applied Linear Algebra
 MATH 261 Mathematics: Contributions by Women
 MATH 264 Cryptography through the Ages
 MATH 282 Elementary Computational Methods
 MATH 290 Workshop in Mathematics II
 MATH 293 Mathematics Teaching Field Experience
 MATH 298 Special Studies
 MATH 299 Independent Studies
 MATH 304 Multivariable Statistics
 MATH 307 Teaching Math Practicum
 MATH 321 Real Variables I
 MATH 322 Real Variables II
 MATH 323 Real Analysis I
 MATH 331 Elements of Group Theory
 MATH 332 Elements of the Theory of Rings and Fields
 MATH 333 Abstract Algebra I
 MATH 350 Advanced Linear Algebra
 MATH 355 Methods of Applied Mathematics
 MATH 356 Methods of Applied Mathematics
 MATH 357 Complex Variables
 MATH 358 Complex Analysis
 MATH 360 Introduction to Probability and Statistics
 MATH 361 Probability and Mathematical Statistics
 MATH 366 Discrete Methods
 MATH 367 Discrete Methods
 MATH 382 Applied Numerical Methods
 MATH 388 Survey of Biomathematics
 MATH 390 Workshop in Mathematics III
 MATH 393 Mathematics Internship
 MATH 397 Putnam Competition Preparation
 MATH 398 Special Studies
 MATH 399 Independent Studies
 MATH 423 Real Analysis II
 MATH 433 Abstract Algebra II
 MATH 450 Advanced Linear Algebra
 MATH 451 Fundamental Concepts of Geometry
 MATH 460 Advanced Topics in Probability
 MATH 470 Machine Learning
 MATH 471 Topology
 MATH 472 Topology
 MATH 473 Differential Geometry
 MATH 480 Big Data Visualization
 MATH 482 Advanced Numerical Methods
 MATH 490 History of Mathematics
 MATH 491 Senior Mathematics Seminar
 MATH 492 Workshop in Mathematics IV
 MATH 493 Senior Seminar for Future Mathematics Educators
 MATH 494 Senior Seminar for Future Mathematics Educators
 MATH 495 Mathematical Modeling
 MATH 496 Mathematical Modeling
 MATH 497 Senior Thesis
 MATH 498 Special Studies
 MATH 499 Independent Studies
 MATH 504 Modern Computational Statistics
 MATH 540 Deep Learning
 MATH 550 Fundamental Concepts of Geometry
 MATH 560 Advanced Topics in Probability and/or Statistics
 MATH 561 Computational Methods in Linear Algebra
 MATH 562 Numerical Analysis
 MATH 590 History of Mathematics for Secondary Teachers
 MATH 593 Seminar for Mathematics Educators
 MATH 598 Special Studies
 MATH 599 Independent Studies
 MATH 601 Methods of Proof for Teachers
 MATH 604 Statistics/Modeling for Teachers
 MATH 621 Real Analysis for Teachers
 MATH 631 Abstract Algebra for Teachers
 MATH 650 Geometry for Teachers
 MATH 660 Discrete Math and Probability for Teachers
 MATH 698 Special Studies
 MATH 699 Independent Studies

Student learning outcomes for the mathematics majors:
 Content Proficiency. In each of the following subject areas of mathematics:
 calculus and analysis,
 abstract and linear algebra,
 probability, combinatorics and statistics,
 elementary numerical methods;
Students will be able to: State and use basic definitions and theorems.
 Solve basic problems.
 Decide on useful approaches to more complicated problems.
 Explain the central concepts of the subject.
 Communication. Students will be able to communicate mathematics both orally and in writing. They will do so according to accepted standards in mathematics.
 Tools. Students will employ a variety of tools such as the library, Internet, computers, and calculators to solve problems and do undergraduate research.
 Independent Learners. Students will be able to independently investigate a mathematical topic.
 Career and Professional Preparation. LMU mathematics graduates will be prepared to engage in mathematicsrelated professions or in a graduate school academic environment. This preparation will include significant preprofessional experiences.
 Content Proficiency. In each of the following subject areas of mathematics: