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Mathematics & Statistics Concentrations
Both our Mathematics Major, B.S. and Statistical Science Major, B.S. require students to declare a concentration.
Our concentrations include:
Applied Mathematics
General Mathematics
Mathematics Education
Probability and Statistics
Theoretical Mathematics
The following information is based on the 2022-23 Course Catalog. For information regarding other catalog years, speak with a faculty advisor.
Major in Mathematics with Applied Mathematics Concentration
The concentration in Applied Mathematics is designed to meet the needs of the scientific, technical, and computer-based economy and to prepare the student for graduate study. Our curriculum provides students with state-of-the-art practices and technologies, to ensure that they ae equipped with real-world, hands-on experience.
Applied Math Concentration Required Courses
- MTH 1410 – Calculus I Credits: 4
- MTH 2410 – Calculus II Credits: 4
- MTH 2420 – Calculus III Credits: 4
- MTH 3100 – Introduction to Mathematical Proofs Credits: 3
- MTH 2520 – R Programming Credits: 4
- MTH 2540 – Scientific Computing with Python Credits: 4
- CS 1050 – Computer Science 1 Credits: 4
- MTH 3140 – Linear Algebra Credits: 4
- MTH 3210 – Probability and Statistics Credits: 4
- MTH 3420 – Differential Equations Credits: 4
- MTH 4480 – Numerical Analysis I Credits: 4
- MTH 3420 – Differential Equations Credits: 4
- MTH 4440 – Partial Differential Equations Credits: 4
-or-
- MTH 3420 – Differential Equations Credits: 4
- MTH 3430 – Mathematical Modeling Credits: 4
-or-
- MTH 4480 – Numerical Analysis I Credits: 4
- MTH 4490 – Numerical Analysis II Credits: 4
-or-
- MTH 4410 – Real Analysis I Credits: 4
- MTH 4420 – Real Analysis II Credits: 3
-or-
- MTH 3450 – Complex Variables Credits: 4
- MTH 4410 – Real Analysis I Credits: 4
- MTH 3220 – Statistical Methods Credits: 4
- MTH 3230 – Stochastic Processes Credits: 4
- MTH 3400 – Chaos and Nonlinear Dynamics Credits: 4
- MTH 3430 – Mathematical Modeling Credits: 4
- MTH 3450 – Complex Variables Credits: 4
- MTH 4210 – Probability Theory Credits: 4
- MTH 4410 – Real Analysis I Credits: 4
- MTH 4420 – Real Analysis II Credits: 3
- MTH 4440 – Partial Differential Equations Credits: 4
- MTH 4490 – Numerical Analysis II Credits: 4
- MTH 4480 – Numerical Analysis I
Senior experience credits are counted elsewhere in the concentration.
- The concentration in applied mathematics requires a total of at least 42 credits. At least 26 of the 42 hours must be at the level of 3000 or above.
- A grade of “C-” or better is required in each course included in the major.
- Regarding substitution of MTH 3140: MTH 3130 and one of the following: MTH 3110, MTH 3650, MTH 4110, MTH 4150, MTH 4410, MTH 4660 may substitute for MTH 3140. If MTH 4410 is used for this substitution it can also be used in the other categories.
- Students who are considering graduate school in mathematics are strongly encouraged to take MTH 4410 – Real Analysis I.
Applied Mathematics Advisors
Interested in Applied Mathematics Concentration? Reach out to one of our Applied Mathematics Advisors!
Henricus Bouwmeester, Ph.D.
Mathematics Associate Chair & Associate Professor of Mathematics
Applied Mathematics Advisor
[email protected] 303-615-0758
Brendan Fry, Ph.D.
Associate Professor of Mathematics
Applied Mathematics Advisor
[email protected] 303-615-0729 Dr. Fry's Website
Christopher Harder, Ph.D.
Associate Professor of Mathematics
Applied Mathematics Advisor
[email protected] 303-615-0748
Robert Niemeyer, Ph.D.
Assistant Professor of Mathematics
Applied & Theoretical Mathematics Advisor
[email protected] 303-605-7192
Shelley B. Poole, Ph.D.
Associate Professor of Applied Mathematics
Applied Mathematics Advisor
[email protected] 303-615-0756
David Ruch, Ph.D.
Professor of Applied & Theoretical Mathematics
Applied & Theoretical Mathematics Advisor
[email protected] 303-615-0736
Linda Sundbye, Ph.D.
Professor of Mathematics
Applied & Theoretical Mathematics Advisor
[email protected] 303-615-0746 Dr. Sundbye's WebsiteMajor in Mathematics with Mathematics Education Concentration
The goals of this program are to provide students with broad-based and coherent preparation in the various disciplines that constitute the mathematical sciences and the pedagogical knowledge of mathematics needed to begin a career as a middle or high school mathematics teacher.
Obtaining this degree, however, does not require that you obtain licensure to be a middle or high school mathematics teacher. This concentration also prepares students for continued study of the mathematical sciences at the graduate level.
Math Education Concentration Required Courses
- MTH 1410 – Calculus I Credits: 4
- MTH 2410 – Calculus II Credits: 4
- MTH 2420 – Calculus III Credits: 4
- MTH 3100 – Intro to Mathematical Proofs Credits: 3
- MTH 3110 – Abstract Algebra I Credits: 4
- MTH 3140 – Linear Algebra Credits: 4
- MTH 3210 – Probability and Statistics Credits: 4
- MTH 3470 – Introduction to Discrete Mathematics and Modeling Credits: 4
- MTL 3620 – Mathematics of the Secondary Curriculum Credits: 4
- MTH 3640 – History of Mathematics Credits: 4
- MTH 3650 – Foundations of Geometry Credits: 3
- Any 1000 level (or higher) course with a CS prefix
- Any programming-specific MTH course:
- MTH 2520 – R Programming Credits: 4
- MTH 2540 – Scientific Computing with Python Credits: 4
- MTH 3510 – SAS Programming Credits: 4
- Any 3000 or 4000 level MTH course with the exception of MTH 3240
MTH 3240 does not count toward a mathematics major or minor. - Any MTL course with the exception of MTL 3600
MTL 3600 does not count as an elective.
- MTL 4630 – Teaching Secondary Mathematics Credits: 3
- A grade of “C-“ or better is required in each course included in the major.
- Regarding substitution of MTH 3140: MTH 3130 and one of the following: MTH 3640, MTH 3650, MTH 4150 may substitute for MTH 3140.
- For licensure students, MTL 4630 must be taken concurrently with MTL 3638 and EDS 3280 (see more information regarding licensure requirements below).
- Students seeking licensure should see the course catalog for required Education coursework.
Students seeking licensure should see the course catalog for required Education coursework.
- Plan to take MTL 3620 two semesters before student teaching.
- Plan to take MTL 3630 and MTL 3638 in the semester immediately prior to student teaching.
- Plan to take the Secondary Math or Middle Math Praxis exam prior to student teaching. All students must earn the state-required score to be recommended for licensure. Note: MSU Denver can only recommend candidates for one license (secondary or middle) not both.
- Before the Department of Mathematics & Statistics will approve you for student teaching, you must have completed all the mathematics and computer science courses required for the major, with a cumulative grade point average of at least 2.75.
Mathematics Education Advisors
Interested in the Mathematics Education Concentration? Reach out to one of our Mathematics Education Advisors!
John Carter, Ph.D.
Professor of Mathematics
Mathematics Education & Theoretical Mathematics Advisor
[email protected] 303-615-0726
Brooke Evans, Ph.D.
Professor of Mathematics
Mathematics Education Advisor
[email protected] 303-615-0733
Don Gilmore, Ph.D.
Professor of Mathematics
Mathematics Education Advisor
[email protected] 303-615-0738
Mark Koester, Ph.D.
Professor of Mathematics
Mathematics Education Advisor
[email protected] 303-615-0759
Patricia McKenna, Ph.D.
Professor of Mathematics
Mathematics Education & Theoretical Mathematics Advisor
[email protected] 303-615-0734Major in Mathematics with Probability and Statistics Concentration
The goals of this program are to provide students with broad-based and coherent preparation in the various disciplines that constitute the mathematical sciences and the specialized training necessary to begin a career in actuarial science, design of experiments, biostatistics, demography, and other areas related to probability and statistics.
This concentration also prepares students for continued study of the mathematical sciences at the graduate level.
Probability and Statistics Concentration Required Courses
- MTH 1410 – Calculus I Credits: 4
- MTH 2410 – Calculus II Credits: 4
- MTH 2420 – Calculus III Credits: 4
- MTH 3100 – Intro to Mathematical Proofs Credits: 3
- MTH 3210 – Probability and Statistics Credits: 4
- MTH 3220 – Statistical Methods Credits: 4
- MTH 4210 – Probability Theory Credits: 4
- MTH 4230 – Regression and Computational Statistics Credits: 4
- MTH 3130 – Applied Methods in Linear Algebra Credits: 4
- MTH 3140 – Linear Algebra Credits: 4
- MTH 2520 – R Programming Credits: 4
- MTH 2540 – Scientific Computing with Python Credits: 4
- MTH 3510 – SAS Programming Credits: 4
- CS 1050 – Computer Science I Credits: 4
- MTH 3230 – Stochastic Processes Credits: 4
- MTH 3270 – Data Science Credits: 4
- MTH 3430 – Mathematical Modeling Credits: 4
- MTH 4250 – Statistical Theory Credits: 4
- MTH 4410 – Real Analysis I Credits: 4
- MTH 4210 – Probability Theory
Senior experience credits are counted elsewhere in the concentration.
- The concentration in probability and statistics requires a total of 43 credits.
- A grade of “C-“ or better is required in each course included in the major.
Probability and Statistics Advisors
Shahar Boneh, Ph.D.
Professor of Mathematics
Statistical Science Advisor
[email protected] 303-615-0740
Benjamin Dyhr, Ph.D.
Professor of Mathematics
Statistical Science Advisor
[email protected] 303-615-0749
Nels Grevstad, Ph.D.
Professor of Mathematics
Statistical Science Advisor
[email protected] 303-615-0728 Dr. Grevstad's website
Yanxi Li, Ph.D.
Associate Professor of Mathematics & Statistics
Associate Professor of Mathematics & Statistics
[email protected] 303-615-0436Major in Mathematics with Theoretical Mathematics Concentration
The goals of this program are to provide students with direct links to course work at the graduate level. The program concentrates on abstract concepts in mathematics.
Theoretical Math Concentration Required Courses
- MTH 1410 – Calculus I Credits: 4
- MTH 2410 – Calculus II Credits: 4
- MTH 2420 – Calculus III Credits: 4
- MTH 3100 – Intro to Mathematical Proofs Credits: 3
- MTH 2520 – R Programming Credits: 4
- MTH 2540 – Scientific Computing with Python Credits: 4
- MTH 3510 – SAS Programming Credits: 4
- CS 1050 – Computer Science I Credits: 4
- MTH 3110 – Abstract Algebra I Credits: 4
- MTH 3140 – Linear Algebra Credits: 4
- MTH 4410 – Real Analysis I Credits: 4
- MTH 4420 – Real Analysis II Credits: 3
- MTH 3450 – Complex Variables Credits: 4
- MTH 4110 – Abstract Algebra II Credits: 3
- MTH 4150 – Elementary Number Theory Credits: 3
- MTH 4660 – Introduction to Topology Credits: 3
- MTH 4410 – Real Analysis I
Senior experience credits are counted elsewhere in the concentration.
- The concentration in theoretical mathematics requires a total of at least 40 credits.
- A grade of “C-“ or better is required in each course included in the major.
- Regarding substitution of MTH 3140: MTH 3130 and one of the following: MTH 3640, MTH 3650, MTH 4150 may substitute for MTH 3140.
Theoretical Mathematics Advisors
John Carter, Ph.D.
Professor of Mathematics
Mathematics Education & Theoretical Mathematics Advisor
[email protected] 303-615-0726
Diane Davis, Ph.D.
Professor of Mathematics
Theoretical Mathematics Advisor
[email protected] 303-615-0730 Dr. Davis' Website
John Ethier, Ph.D.
Professor of Mathematics
Theoretical Mathematics Advisor
[email protected] 303-615-0739
Patricia McKenna, Ph.D.
Professor of Mathematics
Mathematics Education & Theoretical Mathematics Advisor
[email protected] 303-616-0734
Mona Mocanasu, Ph.D.
Professor of Mathematics
Theoretical Mathematics Advisor
[email protected] 303-615-0747
Robert Niemeyer, Ph.D.
Assistant Professor of Mathematics
Applied & Theoretical Mathematics Advisor
[email protected] 303-605-7192
David Ruch, Ph.D.
Professor of Applied & Theoretical Mathematics
Applied & Theoretical Mathematics Advisor
[email protected] 303-615-0736
Linda Sundbye, Ph.D.
Professor of Mathematics
Applied & Theoretical Mathematics Advisor
[email protected] 303-615-0746 Dr. Sundbye's WebsiteMajor in Mathematics with General Mathematics Concentration
The goals of this program are to provide students with broad-based and coherent preparation in the various disciplines that constitute the mathematical sciences and considerable flexibility among upper division course choices to meet the needs of those students with diverse mathematical interests.
General Math Concentration Required Courses
- MTH 1410 – Calculus I Credits: 4
- MTH 2410 – Calculus II Credits: 4
- MTH 2420 – Calculus III Credits: 4
- MTH 3100 – Intro to Mathematical Proofs Credits: 3
- MTH 2520 – R Programming Credits: 4
- MTH 2540 – Scientific Computing with Python Credits: 4
- CS 1050 – Computer Science I Credits: 4
- MTH 3110 – Abstract Algebra I Credits: 4
- MTH 3140 – Linear Algebra Credits: 4
-or-
- MTH 3110 – Abstract Algebra I Credits: 4
- MTH 4110 – Abstract Algebra II Credits: 3
-or-
- MTH 3210 – Probability and Statistics Credits: 4
- MTH 3220 – Statistical Methods Credits: 4
-or-
- MTH 3420 – Differential Equations Credits: 4
- MTH 4440 – Partial Differential Equations Credits: 4
-or-
- MTH 4210 – Probability Theory Credits: 4
- MTH 4230 – Regression and Computational Statistics Credits: 4
-or-
- MTH 4410 – Real Analysis I Credits: 4
- MTH 4420 – Real Analysis II Credits: 3
-or-
- MTH 4480 – Numerical Analysis I Credits: 4
- MTH 4490 – Numerical Analysis II Credits: 4
- MTH 2140 – Computational Matrix Algebra
- Any upper-division mathematics courses with the exception of MTH 3240.
MTH 3240 does not count toward a mathematics major or minor. - Only one of the three courses MTH 2140, MTH 3130, and MTH 3140 can be counted.
One of the following:
- MTH 4210 – Probability Theory
- MTH 4410 – Real Analysis I
- MTH 4480 – Numerical Analysis I
Senior experience credits are counted elsewhere in the concentration.
- The concentration in applied mathematics requires a total of at least 41 credits. At least 7 hours must be at the level of 4000 or above.
- A grade of “C-“ or better is required in each course included in the major.
- Only one of the three courses MTH 2140, MTH 3130, and MTH 3140 can be counted.
- Students who are considering graduate school in mathematics are strongly encouraged to take MTH 4410 – Real Analysis I.
Any Faculty Advisor is able to advise for the General Mathematics Concentration
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Email usPhone:
303.615.0299
Office Location:
Main Office: Science Building, Suite 1022 (SI 1022)
Office Hours:
Monday – Thursday
8:00 a.m. – 4:00 p.m.
Friday
8:00 a.m. – 3:30 p.m.
Address:
Metropolitan State University of Denver
Department of Mathematics & Statistics
1150 12th St.
Denver, CO 80204