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From the architecture of a skyscraper to the spiral of a seashell, everything around us follows mathematical laws.

In our undergraduate program, you’ll connect mathematics in a meaningful way to your own life. You’ll see how each topic connects to your deepest self while growing as a mathematician and a person.

Order is present everywhere

Wave patternMathematics is the study of nature from the perspective of orderliness. Mathematicians find and study patterns of orderliness and then use them to solve challenging problems in business and economics, data analysis, medical research, climate change, engineering and technology, physics, biology and agriculture, and the social sciences.

As a mathematics student at MIU, you will learn to recognize patterns in nature, data, and designs. You will build your problem-solving ability by tackling challenging problems in both abstract contexts and concrete applications.


Dive deeply into mathematics

electroencephalographWe will help you understand mathematical principles rather than just memorizing procedures. In class, you will engage in lively problem-solving sessions and in-depth discussions.

Your regular practice of the Transcendental Meditation technique enhances your pattern recognition and problem-solving ability by

  • Providing deep rest and rejuvenation
  • Unfolding your creativity and intelligence
  • Enabling you to maintain broad comprehension while focusing on details
  • Refining your intuition and ability to think abstractly

In addition, in every class, you will see that the principles governing mathematics are the same as the principles governing your own consciousness. In this way, you will never feel disconnected from what you are studying. You will discover that the principles governing your consciousness are the same as the principles governing all other disciplines.

Mathematics & Computer Science

students working together on math problemYou’ll graduate prepared for a career in a technical area or graduate study in business and other professional or scientific areas. This track combines mathematics courses with courses in computer science.

Success in this track leads directly to our graduate Computer Science program: upon graduation from this track, you’ll be prepared to complete the Master’s program in just over a year.

Recognitions and competitions

logoAs a student, you’ll have the opportunity to present your research papers at regional conferences, where several students have received Outstanding Student Paper awards.

You’ll be able to participate in national and regional mathematics competitions, including the annual Putnam Competition.

Featured courses

Unified Field Chart

Science and Technology of Consciousness

Unified Field Chart

This course will introduce you to our unique system of Consciousness-Based education. You’ll learn Transcendental Meditation, discover what we mean when we talk about “consciousness,” and participate in a 3-4 day base camp focused on team building and leadership skills.

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Calculus 1

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Calculus is the study of continuous change. You’ll gain a clear understanding of the language and concepts of calculus and how they can be practically applied to daily life and real-world situations. Topics you’ll study include limits, continuity, derivatives, applications of derivatives, integrals, and more.

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Linear Algebra 1

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You’ll learn about linearity, the simplest form of quantitative relationship, and learn how it can be applied to mathematics, biology, social sciences, and other key areas of study. Topics covered include systems of linear equations, vector equations, and matrices.

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Senior Project

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You’ll connect your mathematical research to the underlying tenets of Consciousness-Based education in a final paper. You’ll also prepare an oral presentation based on your paper to be submitted to our annual senior project competition, giving you a chance to refine your speaking skills.

Calculus, one of the most useful areas of mathematics, is the study of continuous change. It provides the language and concepts used by modern science to quantify the laws of nature and the numerical techniques through which this knowledge is applied to enrich daily life. Students gain a clear understanding of the fundamental principles of calculus and how they are applied in real-world situations. Topics include: techniques of integration, further applications of derivatives, and applications of integration. Prerequisite: MATH 281
Calculus, one of the most useful areas of mathematics, is the study of continuous change. It provides the language and concepts used by modern science to quantify the laws of nature and the numerical techniques through which this knowledge is applied to enrich daily life. Students gain a clear understanding of the fundamental principles of calculus and how they are applied in real-world situations. Topics include: limits, continuity, derivatives, applications of derivatives, integrals, and the fundamental theorem of calculus. Prerequisite: MATH 286
Discrete mathematics, the mathematical study of finite processes and discrete phenomena, is essential for computer science. Topics include: logic and sets, relations and functions, vertex-edge graphs, recursion, and combinatorics. (Same as CS 272) Prerequisite: MATH 162
Probability provides precise descriptions of the laws underlying random events, with applications in quantum physics, statistics, computer science, and control theory. Topics include: permutations and combinations, axiomatic definition of probability, conditional probability, random variables, discrete and continuous distributions, expectation and variance, and the central limit theorem. Prerequisite: MATH 282, MATH 283 recommended but not required.
This course covers programming in Java, specifically focusing on object-oriented concepts and creating GUI applications. Topics include: classes and objects, primitives and references, inheritance and polymorphism, interfaces and abstract classes, exception handling, GUI programming in Swing, and serialization and file I/O. Prerequisite: CS 201
Students use computer programming laboratory problems to apply the principles of data structure organization in a practical environment and develop advanced programming skills. The organizing power of knowledge is found to be the source of order in computer data structures. Topics include: abstract data types, internal representation of data, stacks, queues, linked lists, hash maps, binary trees, heaps, red-black trees, 3-4 trees and B trees. (4 credits) Prerequisites: MATH 162 and CS 203
Students are introduced to the study algorithms. Topics include: searching and sorting algorithms, computing time of programs and representations and algorithms for graphs. This course also includes a significant research paper around the efficiencies and running times of different algorithms (4 credits) Prerequisite: CS 221 and WTG 192
This course presents the internal structure of a computer, an introduction to assembly language, and the design of digital logic circuits and their use in structuring the various functional components of a computer, such as the memory and central processing unit. Topics include: machine organization, logic gates, circuits, machine language, assembly language, memory, I/O systems, and how these all combine to create typical and atypical architectures. (4 credits) Prerequisites: CS 201 and CS 272 / MATH 272
This course presents the fundamental principles of object-oriented programming. Students will learn how to write reusable and better-maintained software, and integrate this knowledge with laboratory assignments and projects. Topics include: fundamental principles and models of object-oriented programming, UML class diagrams and design principles that promote reusability and maintainability of software. Prerequisite: CS 221 or equivalent
This course introduces the student to best practices in software development through a software development methodology. Students will learn how to bring together their skills in object-oriented analysis and design, in the use of UML diagrams for modeling software solutions, to produce robust, easily maintainable software. A software development methodology describes when and how object-oriented concepts and UML diagrams should be used to accomplish the aim of building quality software. The course centers on a small project in which the principles discussed in the lecture format can be illustrated and applied. By the end of the course, the student will have a running application, built in accord with the high standards of a contemporary development methodology. (4 credits) Prerequisite: CS 401 or consent of the Department faculty

Featured faculty

Cathy Gorini

Cathy Gorini

Cathy Gorini

Catherine Gorini received an Award for Outstanding College Teaching from the Mathematical Association of America in 2001. Her research interests include Maharishi’s Vedic Mathematics; using the Transcendental Meditation® technique in the teaching of mathematics; geometry and symmetry; undergraduate mathematics education; using Geometer’s Sketchpad to study Euclidean geometry or analytic geometry; using JavaSketchpad to create interactive geometry web pages. Cathy received her MA and PhD from the University of Virginia and did her undergraduate work in mathematics at Cornell University.

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Anne Dow

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Dr. Anne Dow holds a PhD in in Mathematics from the University of Queensland, Australia. For many years, she has taught courses in calculus, linear algebra, abstract algebra, and many more topics at all levels of the undergraduate curriculum. She has also taught graduate courses in partial differential equations, mathematical statistics, and real and complex analysis.

Anne came to MIU because she found the students here to be happy, alert, focused, receptive, interested in mathematics, and able to understand their courses deeply. She sees mathematics from a wide perspective, where each topic covered is seen in relation to the rest of mathematics, the environment and society, all of knowledge, and oneself.


All Department Faculty

Cost & Aid, 2022-23

Annual Cost and Typical Financial Aid
Tuition and fees$16,530
Housing (single room) and meals$7,400
Health insurance (estimate)$3,506
Personal expenses, books, unexpected needs (estimate)$3,500
Cost Per Year$30,936

Full-time students may apply for up to $6,000 scholarship based on qualifying documented family income. Our undergraduate scholarship application form will be made available to you upon application to the university.


Tuition, other fees, scholarships, and financial policies are subject to change prior to the entry date.

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