Bachelor of Arts inMathematics

As the world becomes more competitive, more technical, and more data­ driven, mathematical
abilities are increasingly in demand, even in fields where historically little mathematics was used. For modern professionals, mathematical skill means a decisive advantage. The goal of our mathematics programs at Concordia is to help you develop not only foundational skills for analyzing and solving important real­ world problems, but also precise and clear ways of thinking that only an education in mathematics can cultivate.

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Mathematics Curriculum Overview

Depending on their career goals, mathematics majors can choose to earn a Bachelor of Science degree or a Bachelor of Arts degree in mathematics at Concordia University, St. Paul. In earning either degree, students will encounter a blend of classical math theory and practical problem solving techniques, but more emphasis is placed on proofs and theory in the BA degree and the BS degree is more applied.  All of the courses in the math major are offered face ­to ­face in small classes (usually less than 20 students) and the emphasis is on actively solving problems in class. Throughout the curriculum students will learn to use technology, including computer algebra systems, geometry modeling software, spreadsheets and computer programming to model and solve problems. In some courses students investigate topics and learn to present their ideas professionally, both orally and in a written format. Some of these topics lead to independent research projects that students can present at undergraduate research conferences and help the students earn honors in the major.

Required: 34 Credits
Course ID Course Name Credit Hours
MAT - 110 Intro Probability & Statistics 3
MAT - 135 Calculus I 4
MAT - 145 Calculus II 5
CSC - 210 Microsoft Excel Core 4
MAT - 220 Discrete Mathematics 3
MAT - 230 Probability and Statistics 4
MAT - 330 Advanced Prob & Stats 4
MAT - 305 Foundations of Geometry 3
MAT - 375 Diff Equations and Linear Algb 4
MAT - 450 Abstract Algebra 4
MAT - 460 Foundations of Analysis 4

This course will explore fundamental topics from probability and descriptive and inferential statistics and apply these to a range of areas of study including business, social science, and biology. Topics include probability and counting rules, probability distributions, hypothesis testing, correlation, regression, chi-square, and analysis-of-variance. (Prerequisite: Minimum grade of C- in MAT100 or MAT103 or level 3 or higher placement on the Math Placement Exam.)

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This course explores the concepts of limit and continuity, investigates techniques of differentiation and its applications, introduces integration, and provides the framework for the Fundamental Theorem. (Prerequisite: Minimum grade of C- in MAT125 or level 5 placement on the Math Placement Exam.)

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This course is a continuation of MAT135. Topics covered include techniques of integration, an introduction to differential equations, sequences and series and applications of these concepts. Other topics include parametric equations, polar equations, and conic sections. Students will be introduced to a computer algebra system. (Prerequisite: Minimum grade of C- in MAT135 or equivalent)

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Through Microsoft Excel, students will be led through an exploration of a powerful spreadsheet program. After a review of the basic commands and functionality, students will be challenged to manipulate specific data for informative reporting that is visually, accurately and dynamically representative of the learning objective. To accomplish this task advanced formulas, search strategies, and data analysis tools will be incorporated into learning projects including mastery of Pivot Tables and Pivot Charts. Further studies will include strategies for managing large data sets, linking and importing external data, mitigating security issues, and working toward automation. Upon completion of the course, students will have sufficient preparation if they wish to take the Microsoft Excel Expert Exam for the Microsoft Office Specialist Certificate.

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This course serves as an introduction to formal proofs and is prerequisite for several upper level math courses. Additional topics covered include logic, set theory, function and relations. (Prerequisite: C- or better in MAT135 or CSC175)

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This is an introductory probability and statistics course designed primarily for math and science students with a Calculus background. Topics covered include descriptive statistics, probability and probability distributions, estimation, hypothesis testing, correlation and regression, and analysis of variance. (Prerequisite: MAT135)

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This course is a Calculus-based look at Probability and Statistics. Assuming students have been exposed to the basics through an introductory course, this course will build upon that experience. Topics include an in depth investigations of probability, discrete and continuous random variables, parameter estimation, hypothesis testing, inference using the normal and binomial distributions, goodness of fit, regression and correlation, and ANOVA. The course will include a statistical software component. (Prerequisites: Minimum grade of C- in MAT145 and MAT110)

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This course provides a systematic survey of Euclidean, hyperbolic, transformation, and fractal geometries. Through the use of technology, the students are better enabled to construct, analyze, and prove conjectures. (Prerequisite: Minimum grade of C- in MAT220)

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This course is an overview of the concepts of differential equations and linear algebra necessary to solve applied problems. Topics include: Differential equations: separable, first-order linear, higher-order linear, linear systems with constant coefficients. Linear algebra: basis, dimension, matrices, eigenvalues/eigenvectors, and vector spaces. (Prerequisite: Minimum of C- in MAT145)

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This course is a rigorous introduction to abstract algebra. Topics include mappings, groups, equivalence relations, isomorphisms, rings, and fields. (Prerequisite: Minimum grade of C- in MAT220)

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This course is a formal treatment of functions of a real variable. It covers the topology of the real line, sequences and series, and classic results in continuity, differentiation, and integration. (Prerequisite: Minimum of C- in MAT145 and MAT220)

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Electives: (min of 7 credits)
Course ID Course Name Credit Hours
MAT - 255 Calculus III 4
MAT - 450 Abstract Algebra 4
MAT - 460 Foundations of Analysis 4
MAT - 478 Mathematics Seminar 3
MAT - 498 Mathematics Internship 1

This course is a continuation of MAT145. Topics covered include analytic geometry in three-dimensional space, vector calculus, partial differentiation, multiple integration, the Fundamental Theorems, and related applications. (Prerequisite: Minimum grade of C- in MAT145)

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This course is a rigorous introduction to abstract algebra. Topics include mappings, groups, equivalence relations, isomorphisms, rings, and fields. (Prerequisite: Minimum grade of C- in MAT220)

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This course is a formal treatment of functions of a real variable. It covers the topology of the real line, sequences and series, and classic results in continuity, differentiation, and integration. (Prerequisite: Minimum of C- in MAT145 and MAT220)

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Students in this seminar will explore a variety of exciting mathematics problems. The course will be offered every spring but the topic will vary depending on the interests of the faculty member and the students. Students will sharpen their mathematical abilities by exploring an assortment of problem-solving strategies and clearly presenting generalized solutions. The opened-ended course number allows for more than one such experience. (Prerequisite: Minimum grade of C- in MAT220 or consent of instructor)

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An exemplary real-world experience which allows for a deeper understanding of the mathematics used in a student's field of interest.

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Bachelor of Arts degrees at Concordia University, St. Paul consists of a major of typically 32 to 44 credits or two minors, general education courses, and elective courses totaling a minimum of 128 credits.

Meet Your Professors

Rachel Krueger Term Faculty of Mathematics

Rachel's passion is to help developmental math students to reach their potential in the mathematics necessary to succeed in their chosen field.

Dr. Robert Krueger Chair of Department of Mathematics & Computer Science

Krueger offers not only an expert knowledge of mathematics to Concordia students, he also strives to make each student’s experience as rewarding as possible.

Derek Wise, Ph.D. Assistant Professor of Mathematics
Dr. Sarah Jahn Associate Professor of Mathematics

Career Potential

Mathematics opens the doors to many career opportunities. The Department of Mathematics and Computer Science suggests pairing your mathematics major or minor with another major or minor that complements your career goals. While an undergraduate, you will have the opportunity to explore internships, undergraduate research, interdisciplinary experiences, and leadership opportunities in on‐campus clubs and organizations such as the Tri‐Pi Math Club. Recent graduates have degrees in mathematics and accounting, business administration, management, finance, computer science, education, biology, engineering, chemistry and psychology. These graduates hold positions as analysts, actuaries, biostatisticians, teachers, computational biologists, engineers, lawyers, dentists and college professors.

  • Accountant
  • Actuary
  • Business Manager
  • Catastrophe Analyst
  • College Professor
  • Cryptographer
  • Financial Planner
  • Mathematician
  • Intelligence Analyst
  • Inventory Analyst
  • Lawyer
  • Medical Doctor
  • Risk Analyst
  • Statistician
  • Underwriter
  • High School Mathematics Teacher
Student Success Stories Rex Johnson ’16 - Mathematics

" I had many conversations with Dr. Krueger about career paths and it ultimately led me to the job I have now so I really can’t thank him enough."

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