Mathematics (B.S.)
Required course work includes the university requirements (see regulation J-3) and:
| Code | Title | Hours |
|---|---|---|
| MATH 1170 | Calculus I | 4 |
| MATH 1750 | Calculus II | 4 |
| MATH 2750 | Calculus III | 3 |
| MATH 3100 | Ordinary Differential Equations | 3 |
| MATH 3300 | Linear Algebra | 3 |
| Options | ||
| Select one of the following options: | 36-54 | |
| Total Hours | 53-71 | |
A. General Option
This is the traditional curriculum in mathematics. It is more mathematically rigorous than the other options. It is especially good for secondary education majors and students intending to go to graduate school in mathematics or other sciences.
| Code | Title | Hours |
|---|---|---|
| Math Courses | ||
| MATH 1760 | Discrete Mathematics | 3 |
| MATH 2150 | Proof via Number Theory | 3 |
| MATH 4610 | Abstract Algebra I | 3 |
| MATH 4710 | Introduction to Analysis I | 3 |
| Select one of the following: | 3 | |
| Advanced Linear Algebra | ||
| Mathematical Statistics | ||
| Stochastic Models | ||
| Abstract Algebra II | ||
| Introduction to Analysis II | ||
| Combinatorics | ||
| Select four math courses above 3100 | 12 | |
| Supporting Courses | ||
| STAT 3010 | Probability and Statistics | 3 |
| CS 1112 | Computational Thinking and Problem Solving | 3 |
| or CS 1120 | Computer Science I | |
| Total Hours | 33 | |
Courses to total 120 credits for this degree
B. Applied - Computation Option
The emphasis is on the mathematics related to computer science and technology. With a major or minor in computer sciences, this is a good preparation for work in the computer industry.
| Code | Title | Hours |
|---|---|---|
| Math Courses | ||
| MATH 1760 | Discrete Mathematics | 3 |
| MATH 2150 | Proof via Number Theory | 3 |
| MATH 3850 | Theory of Computation | 3 |
| MATH 3950 | Analysis of Algorithms | 3 |
| MATH 4150 | Cryptography | 3 |
| MATH 4280 | Numerical Methods | 3 |
| or MATH 4320 | Numerical Linear Algebra | |
| MATH 4520 | Mathematical Statistics | 3 |
| or STAT 3010 | Probability and Statistics | |
| Select two additional courses from the following: | 6 | |
| Discrete Mathematics II | ||
| Discrete Optimization | ||
| Advanced Linear Algebra | ||
| Numerical Linear Algebra | ||
| Probability Theory | ||
| Mathematical Statistics | ||
| Abstract Algebra I | ||
| Abstract Algebra II | ||
| Combinatorics | ||
| Supporting Courses | ||
| CS 1120 | Computer Science I | 4 |
| CS 1121 | Computer Science II | 3 |
| Total Hours | 34 | |
Courses to total 120 credits for this degree
C. Applied - Modeling and Data Science Option
The emphasis is on the mathematics used to model phenomena in engineering, science, business and economics. With a second major in one of these disciplines, this provides ideal preparation for graduate school.
| Code | Title | Hours |
|---|---|---|
| Math Courses | ||
| MATH 1760 | Discrete Mathematics | 3 |
| MATH 1830 | Introduction to Data Science in Python | 3 |
| MATH 4280 | Numerical Methods | 3 |
| or MATH 4320 | Numerical Linear Algebra | |
| MATH 4510 | Probability Theory | 3 |
| MATH 4830 | Foundations of Machine Learning | 3 |
| or MATH 4380 | Mathematical Modeling | |
| STAT 3010 | Probability and Statistics | 3 |
| or MATH 4520 | Mathematical Statistics | |
| Select four additional courses from the following: | 12 | |
| Database Systems | ||
| Theory of Computation | ||
| Analysis of Algorithms | ||
| Parallel Programming | ||
| Computational Biology: Sequence Analysis | ||
| Data Communication Systems | ||
| Artificial Intelligence | ||
| Data Science | ||
| Mathematical Physics | ||
| Discrete Mathematics II | ||
| Complex Variables | ||
| Numerical Methods | ||
| Numerical Linear Algebra | ||
| Mathematical Biology | ||
| Mathematical Modeling | ||
| Mathematical Statistics | ||
| Stochastic Models | ||
| Combinatorics | ||
| Partial Differential Equations | ||
| Foundations of Machine Learning | ||
| Database Design | ||
| Data Management for Big Data | ||
| Dynamic Modeling of Engineering Systems | ||
| Social Data Analysis | ||
| Statistical Analysis | ||
| Quantitative Electives | ||
| Select 6 credits of advisor-approved quantitative electives in Science, Engineering, Business, Economics, etc. These electives can be drawn from the above list, as long as they are not used to fulfill the elective requirement. | 6 | |
| Total Hours | 36 | |
Courses to total 120 credits for this degree
D. Applied - Mathematical Biology Option
This option offers training across mathematics and biology and provides the background to pursue a career in technical industries and to obtain graduate degrees in biomathematics, biostatistics, and bioinformatics.
| Code | Title | Hours |
|---|---|---|
| Math Courses | ||
| MATH 4370 | Mathematical Biology | 3 |
| MATH 4510 | Probability Theory | 3 |
| MATH 4530 | Stochastic Models | 3 |
| MATH 4800 | Partial Differential Equations | 3 |
| Select one course from the following: | 3 | |
| Numerical Methods | ||
| Numerical Linear Algebra | ||
| Select three courses from the following: | 9 | |
| Complex Variables | ||
| Advanced Linear Algebra | ||
| Mathematical Modeling | ||
| Mathematical Statistics | ||
| Introduction to Analysis I | ||
| Introduction to Analysis II | ||
| Foundations of Machine Learning | ||
| Biology Courses | ||
| Select 9 credits of advisor-approved electives in the biological sciences | 9 | |
| Supporting Courses | ||
| Select one from the following | 3 | |
| Computer Science I | ||
| Introduction to Data Science in Python | ||
| Introduction to SAS/R Programming | ||
| SAS Programming | ||
| R Programming | ||
| Total Hours | 36 | |
Courses to total 120 credits for this degree
General Option
| Fall Term 1 | Hours | |
|---|---|---|
| ENGL 1101 | Writing and Rhetoric I | 3 |
| MATH 1143 | Precalculus I: Algebra | 3 |
| COMM 1101 | Fundamentals of Oral Communication | 3 |
| Scientific Ways of Knowing Course | 4 | |
| American Experience Course | 3 | |
| Hours | 16 | |
| Spring Term 1 | ||
| ENGL 1102 | Writing and Rhetoric II | 3 |
| MATH 1144 | Precalculus II: Trigonometry | 1 |
| MATH 1170 | Calculus I | 4 |
| Humanistic and Artistic Ways of Knowing Course | 3 | |
| CS 1112 OR CS 1120 | 3 | |
| Hours | 14 | |
| Fall Term 2 | ||
| MATH 1750 | Calculus II | 4 |
| MATH 1760 | Discrete Mathematics | 3 |
| International Course | 3 | |
| Social and Behavioral Ways of Knowing Course | 3 | |
| Elective Course | 2 | |
| Hours | 15 | |
| Spring Term 2 | ||
| MATH 2150 | Proof via Number Theory | 3 |
| MATH 2750 | Calculus III | 3 |
| MATH 3300 | Linear Algebra | 3 |
| Social and Behavioral Ways of Knowing Course | 3 | |
| Scientific Ways of Knowing Course | 4 | |
| Hours | 16 | |
| Fall Term 3 | ||
| STAT 3010 | Probability and Statistics | 3 |
| MATH 3100 | Ordinary Differential Equations | 3 |
| MATH 4610 | Abstract Algebra I | 3 |
| Elective Course | 3 | |
| Elective Course | 3 | |
| Hours | 15 | |
| Spring Term 3 | ||
| Mathematics above 3100, Major Elective Course | 3 | |
| Humanistic and Artistic Ways of Knowing Course | 3 | |
| Elective Course | 3 | |
| Elective Course | 3 | |
| MATH 4300 OR MATH 4520 OR MATH 4530 OR MATH 4620 OR MATH 4720 OR MATH 4760 | 3 | |
| Hours | 15 | |
| Fall Term 4 | ||
| MATH 4150 | Cryptography | 3 |
| MATH 4710 | Introduction to Analysis I | 3 |
| Mathematics above 3100, Major Elective Course | 3 | |
| Elective Course | 3 | |
| Elective Course | 3 | |
| Hours | 15 | |
| Spring Term 4 | ||
| Mathematics above 3100, Major Elective Course | 3 | |
| Mathematics above 3100, Major Elective Course | 3 | |
| Elective Course | 3 | |
| Elective Course | 3 | |
| Elective Course | 2 | |
| Hours | 14 | |
| Total Hours | 120 | |
Applied - Computation Option
| Fall Term 1 | Hours | |
|---|---|---|
| ENGL 1101 | Writing and Rhetoric I | 3 |
| MATH 1143 | Precalculus I: Algebra | 3 |
| American Experience Course | 3 | |
| Oral Communication Course | 3 | |
| Scientific Ways of Knowing Course | 4 | |
| Hours | 16 | |
| Spring Term 1 | ||
| CS 1120 | Computer Science I | 4 |
| ENGL 1102 | Writing and Rhetoric II | 3 |
| MATH 1144 | Precalculus II: Trigonometry | 1 |
| MATH 1170 | Calculus I | 4 |
| Humanistic and Artistic Ways of Knowing Course | 3 | |
| Hours | 15 | |
| Fall Term 2 | ||
| CS 1121 | Computer Science II | 3 |
| MATH 1750 | Calculus II | 4 |
| MATH 1760 | Discrete Mathematics | 3 |
| International Course | 3 | |
| Elective Course | 2 | |
| Hours | 15 | |
| Spring Term 2 | ||
| MATH 2150 | Proof via Number Theory | 3 |
| MATH 2750 | Calculus III | 3 |
| MATH 3300 | Linear Algebra | 3 |
| Scientific Ways of Knowing Course | 4 | |
| Social and Behavioral Ways of Knowing Course | 3 | |
| Hours | 16 | |
| Fall Term 3 | ||
| MATH 3100 | Ordinary Differential Equations | 3 |
| MATH 3850 | Theory of Computation | 3 |
| Elective Course | 3 | |
| Social and Behavioral Ways of Knowing Course | 3 | |
| MATH 4520 OR STAT 3010 | 3 | |
| Hours | 15 | |
| Spring Term 3 | ||
| MATH 3950 | Analysis of Algorithms | 3 |
| Humanistic and Artistic Ways of Knowing Course | 3 | |
| Elective Course | 3 | |
| Elective Course | 3 | |
| MATH 3760 OR MATH 4260 OR MATH 4300 OR MATH 4320 OR MATH 4510 OR MATH 4520 OR MATH 4610 OR MATH 4620 OR MATH 4760 | 3 | |
| Hours | 15 | |
| Fall Term 4 | ||
| MATH 4150 | Cryptography | 3 |
| Elective Course | 3 | |
| Elective Course | 3 | |
| Elective Course | 3 | |
| MATH 3760 OR MATH 4260 OR MATH 4320 OR MATH 4510 OR MATH 4520 OR MATH 4610 OR MATH 4620 OR MATH 4760 | 3 | |
| Hours | 15 | |
| Spring Term 4 | ||
| Elective Course | 3 | |
| Elective Course | 3 | |
| Elective Course | 3 | |
| 1 credit Elective Course | 1 | |
| MATH 4280 OR MATH 4320 | 3 | |
| Hours | 13 | |
| Total Hours | 120 | |
Applied - Modeling and Data Science Option
| Fall Term 1 | Hours | |
|---|---|---|
| ENGL 1101 | Writing and Rhetoric I | 3 |
| MATH 1143 | Precalculus I: Algebra | 3 |
| American Experience Course | 3 | |
| Oral Communication Course | 3 | |
| Scientific Ways of Knowing Course | 4 | |
| Hours | 16 | |
| Spring Term 1 | ||
| ENGL 1102 | Writing and Rhetoric II | 3 |
| MATH 1144 | Precalculus II: Trigonometry | 1 |
| MATH 1170 | Calculus I | 4 |
| Humanistic and Artistic Ways of Knowing Course | 3 | |
| Scientific Ways of Knowing Course | 4 | |
| Hours | 15 | |
| Fall Term 2 | ||
| MATH 1750 | Calculus II | 4 |
| MATH 1760 | Discrete Mathematics | 3 |
| Social and Behavioral Ways of Knowing Course | 3 | |
| International Course | 3 | |
| Elective Course | 2 | |
| Hours | 15 | |
| Spring Term 2 | ||
| MATH 1830 | Introduction to Data Science in Python | 3 |
| MATH 2750 | Calculus III | 3 |
| MATH 3300 | Linear Algebra | 3 |
| Elective Course | 3 | |
| Social and Behavioral Ways of Knowing Course | 3 | |
| Hours | 15 | |
| Fall Term 3 | ||
| MATH 3100 | Ordinary Differential Equations | 3 |
| MATH 4510 | Probability Theory | 3 |
| Elective Course | 3 | |
| Elective Course | 3 | |
| Mathematics, Major Elective Course | 3 | |
| Hours | 15 | |
| Spring Term 3 | ||
| MATH elec, or Senior Exp., Major Elective Course | 3 | |
| Modeling, Major Elective Course | 3 | |
| Humanistic and Artistic Ways of Knowing Course | 3 | |
| Elective Course | 3 | |
| MATH 4520 OR STAT 3010 | 3 | |
| Hours | 15 | |
| Fall Term 4 | ||
| Modeling, Major Elective Course | 3 | |
| MATH elective or Senior Exp., Major Elective Course | 3 | |
| Mathematics, Major Elective Course | 3 | |
| Elective Course | 3 | |
| MATH 4380 OR MATH 4830 | 3 | |
| Hours | 15 | |
| Spring Term 4 | ||
| Mathematics, Major Elective Course | 3 | |
| Mathematics, Major Elective Course | 3 | |
| Elective Course | 3 | |
| Elective Course | 2 | |
| MATH 4280 OR MATH 4320 | 3 | |
| Hours | 14 | |
| Total Hours | 120 | |
Applied - Mathematical Biology Option
| Fall Term 1 | Hours | |
|---|---|---|
| ENGL 1101 | Writing and Rhetoric I | 3 |
| MATH 1143 | Precalculus I: Algebra | 3 |
| BIOL 1140 | Organisms and Environments | 4 |
| COMM 1101 | Fundamentals of Oral Communication | 3 |
| American Experience Course | 3 | |
| Hours | 16 | |
| Spring Term 1 | ||
| ENGL 1102 | Writing and Rhetoric II | 3 |
| MATH 1144 | Precalculus II: Trigonometry | 1 |
| MATH 1170 | Calculus I | 4 |
| CHEM 1111 | General Chemistry I | 3 |
| CHEM 1111L | General Chemistry I Laboratory | 1 |
| Humanistic and Artistic Ways of Knowing Course | 3 | |
| Hours | 15 | |
| Fall Term 2 | ||
| MATH 1750 | Calculus II | 4 |
| BIOL 1150 | Cells and the Evolution of Life | 3 |
| BIOL 1150L | Cells and the Evolution of Life Laboratory | 1 |
| Social and Behavioral Ways of Knowing Course | 3 | |
| International Course | 3 | |
| Hours | 14 | |
| Spring Term 2 | ||
| MATH 2750 | Calculus III | 3 |
| MATH 3300 | Linear Algebra | 3 |
| Humanistic and Artistic Ways of Knowing Course | 3 | |
| UPDV Biology, Major Elective Course | 3 | |
| STAT 2510 OR STAT 3010 | 3 | |
| Hours | 15 | |
| Fall Term 3 | ||
| BIOL 3100 | Genetics | 3 |
| MATH 4510 | Probability Theory | 3 |
| Elective Course | 3 | |
| Elective Course | 3 | |
| MATH 3100 OR MATH 4530 OR STAT 4310 | 3 | |
| Hours | 15 | |
| Spring Term 3 | ||
| MATH 4370 | Mathematical Biology | 3 |
| MATH 4520 | Mathematical Statistics | 3 |
| UPDV Biology, Major Elective Course | 3 | |
| Social and Behavioral Ways of Knowing Course | 3 | |
| Elective Course | 3 | |
| Hours | 15 | |
| Fall Term 4 | ||
| BIOL 4560 | Computer Skills for Biologists | 3 |
| MATH 4150 | Cryptography | 3 |
| UPDV Biology, Major Elective Course | 3 | |
| Elective Course | 3 | |
| MATH 4280 OR MATH 4300 OR MATH 4800 | 3 | |
| Hours | 15 | |
| Spring Term 4 | ||
| UPDV Biology, Elective Course | 3 | |
| Elective Course | 3 | |
| Elective Course | 3 | |
| MATH 3100 OR MATH 4530 OR STAT 4310 | 3 | |
| MATH 4280 OR MATH 4300 OR MATH 4800 | 3 | |
| Hours | 15 | |
| Total Hours | 120 | |
The degree map is a guide for the timely completion of your curricular requirements. Your academic advisor or department may be contacted for assistance in interpreting this map. This map is not reflective of your academic history or transcript and it is not official notification of completion of degree or certificate requirements. Please contact the Registrar's Office regarding your official degree/certificate completion status.
- Students should be able to think critically, apply problem solving strategies, and be able to construct and defend mathematical proofs.
- Students should be able to use mathematical structures and the language of mathematics to formulate models for real-world problems.
- Students should be able to effectively communicate their work and should gain experience working in collaborative settings.
- Students should be able to interpret and extract relevant information from data using appropriate modeling techniques.