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:
- Liberal Arts Core (LAC) Credits
- Required Major Credits
- 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
Program Requirements:
To graduate with a B. S. in Mathematics all students must have an overall GPA of 2.0 or higher in all courses in the major (i.e. all core credits and all emphasis credits).
Degree Requirements — 120 Credits
Degree Requirements
1. Required Specified LAC — 8 credits
LAC area 2 — Mathematics
Remaining LAC — 32 credits
See
“Liberal Arts Core”.
2. Required Major — 41 credits
Take all of the following courses:
Choose one of the following concentrations:
Applied Computer Science Concentration
Take 9 credits (and 6 additional elective credits)
| CS 200 | Object-Oriented Analysis, Design, and Programming | 3 |
| CS 301 | Algorithms and Data Structures | 3 |
Choose one of the following courses:
| MATH 375 | Elementary 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 200 | Object-Oriented Analysis, Design, and Programming | 3 |
| MATH 437 | Mathematical Modeling | 3 |
Choose one of the following courses:
Choose one of the following courses:
Applied Statistics Concentration
Take nine credits (and 6 additional elective credits)
Choose two of the following courses:
Remaining Concentration
Take 3-6 credits (to total 15 in the Concentration)
Choose from the following courses:
| MATH 321 | Introduction to Abstract Algebra I | 3 |
| MATH 322 | Introduction to Abstract Algebra II | 3 |
| MATH 336 | Differential Equations II | 3 |
| MATH 341 | Introduction to Modern Geometry I | 3 |
| MATH 342 | Introduction to Modern Geometry II | 3 |
| MATH 375 | Elementary Numerical Analysis | 3 |
| MATH 391 | Introduction to Number Theory | 3 |
| MATH 431 | Basic Analysis I | 4 |
| MATH 432 | Basic Analysis II | 4 |
| MATH 460 | Introduction to Complex Analysis | 3 |
| STAT 406 | Multiple Linear Regression | 3 |
| STAT 409 | Sampling Techniques | 3 |
| STAT 411 | Fundamentals 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 — 39 credits
Complete additional credits to achieve the minimum credits needed for this degree at UNC; for this degree, that will typically be 39 credits.