Undergraduate Catalog 2021-2022

Mathematics B.S. – Applied Mathematical Sciences Emphasis

College of Natural and Health Sciences

Contact: Virgil U. Pierce, Ph.D., School Director

Location: Ross Hall 2239

Telephone: 970.351.2820

Website: www.unco.edu/NHS/mathsci

Advising Information

Students must consult with their assigned major advisor each semester prior to registering.

To find your advisor, log into ursa.unco.edu; go to 'Student' tab and click 'View Student Information' link. If no advisor is listed, contact the major program for advisor information.

The program consists of three parts:

  1. Liberal Arts Curriculum (LAC) Credits
  2. Required Major Credits
  3. University-Wide Credits

Program Description:

All undergraduate programs require a core of common courses to provide students with a solid foundation in the mathematical sciences. Thereafter, students can choose from three different emphasis areas depending on their educational interests and goals.

Applied Mathematical Sciences Emphasis

Expanded scientific, statistical and mathematical knowledge, combined with growing needs in technological as well as social areas, have created increased demands for individuals trained in applied mathematics. Within this emphasis area, students can choose one of three concentrations.

Applied Computer Science Concentration

One significant application of applied mathematics is in the area of software development. This concentration will allow the student to be better prepared to take a job with a computer software company or jobs involving a significant use of computer technology.

Applied Mathematics Concentration

This concentration focuses on applications of mathematics to real-life problems and includes some supporting computer science and statistics. Graduates are prepared for technical positions in such areas as environmental, governmental, industrial, military, and social settings and for additional graduate study in mathematics and other related disciplines.

Applied Statistics Concentration

This concentration focuses on statistical foundations and their applications to problems in varied disciplines, e.g. business, agriculture, medicine, law, literature, psychology and other social sciences, and on the design and analysis of statistical models in a wide variety of settings. Graduates are prepared for positions involving the design and analysis of statistical models in such areas as environmental, governmental, industrial, military, and social settings and for additional graduate study in the areas of applied statistics and operations research.

Program Admission Requirements:

Academic Good Standing

Degree Requirements — 120 Credits

1. Liberal Arts Curriculum — 31 credits

To complete the degree in 120 credits as outlined, the program recommends the below LAC courses that also count toward the required major credits.

Any additional LAC coursework completed outside of the recommended list below may extend the length of the program of study.

Written Communication — 6 credits

Select any courses to fulfill this requirement from the currently approved LAC course list.

See Written Communication courses

Mathematics — 3 credits

MATH 131 (4) or MATH 132 (4) is recommended to fulfill Mathematics requirement and will fulfill both LAC and major requirements.

See Mathematics courses

Arts & Humanities, History, Social & Behavioral Sciences, U.S. Multicultural Studies, and International Studies — 15 Credits

To complete the LAC in the minimum number of credits, be sure to choose at least one course with an IS designation and one course with an MS designation.

Select any courses to fulfill this requirement from the currently approved LAC course list.

See Arts & Humanities, History, and Social & Behavioral Sciences courses

Natural & Physical Sciences — 7 credits

Select any courses to fulfill this requirement from the currently approved LAC course list.

See Natural & Physical Sciences courses

See Liberal Arts Curriculum

2. Required Major — 49 credits

Take all of the following courses:

CS 120Introduction to Programming

3

CS 160Structured Programming

3

MATH 131Calculus ILAX1

4

MATH 132Calculus IILAX1

4

MATH 221Elementary Linear Algebra

3

MATH 228Discrete Mathematics

3

MATH 233Calculus III

4

MATH 335Differential Equations I

3

MATH 350Elementary Probability Theory

4

MATH 495Topics in Mathematics

1- 3

MATH 131 and MATH 132 satisfy LAC Mathematics.

Note: MATH 495 - Take 3 credits.

Choose one of the following concentrations:

Applied Computer Science Concentration

Take 9 credits (and 6 additional elective credits)

CS 200Object-Oriented Analysis, Design, and Programming

3

CS 301Algorithms and Data Structures

3

Choose one of the following courses:
MATH 375Elementary Numerical Analysis

3

Any CS course at the 300-level or higher

3

Applied Mathematics Concentration

Take 12 credits (and 3 additional elective credits)

CS 200Object-Oriented Analysis, Design, and Programming

3

MATH 437Mathematical Modeling

3

Choose one of the following courses:
MATH 351Elementary Statistics Theory

3

STAT 406Multiple Linear Regression

3

STAT 411Fundamentals of Data Science

3

Choose one of the following courses:
MATH 336Differential Equations II

3

MATH 375Elementary Numerical Analysis

3

Applied Statistics Concentration

Take nine credits (and 6 additional elective credits)

MATH 351Elementary Statistics Theory

3

Choose two of the following courses:

STAT 406Multiple Linear Regression

3

STAT 409Sampling Techniques

3

STAT 411Fundamentals of Data Science

3

Remaining Concentration

Take 3-6 credits (to total 15 in the Concentration)

Choose from the following courses:

MATH 321Introduction to Abstract Algebra I

3

MATH 322Introduction to Abstract Algebra II

3

MATH 336Differential Equations II

3

MATH 341Introduction to Modern Geometry I

3

MATH 342Introduction to Modern Geometry II

3

MATH 375Elementary Numerical Analysis

3

MATH 391Introduction to Number Theory

3

MATH 431Basic Analysis I

4

MATH 432Basic Analysis II

4

MATH 460Introduction to Complex Analysis

3

STAT 406Multiple Linear Regression

3

STAT 409Sampling Techniques

3

STAT 411Fundamentals of Data Science

3

Any CS course at the 300-level or higher

3

Any course listed in the required concentration courses

3. University-Wide Credits — 40 credits*

Complete additional credits to achieve the minimum credits needed for any degree at UNC; for this program, that will typically be 40 credits.

*Note: Students who apply the recommended courses to both the liberal arts curriculum and the major requirements will have an increased number of university wide electives to apply to this degree. See your advisor for details.