Mathematics - Probability and Statistics Option, BS
Introduction
Please click here to see Mathematical and Statistical Sciences department information.
These degree requirements are subject to periodic revision by the academic department, and the College reserves the right to make exceptions and substitutions as judged necessary in individual cases. Therefore, the College strongly urges students to consult regularly with their major advisor and CLAS advisor to confirm the best plans of study before finalizing them.
Program Delivery
- This is an on-campus program.
Declaring This Major
- Click here to go to information about declaring a major.
General Requirements
To earn a degree, students must satisfy all requirements in each of the three areas below, in addition to their individual major requirements.
- CU Denver General Graduation Requirements
- CU Denver Core Curriculum
- College of Liberal Arts & Sciences Graduation Requirements
- Click here for information about Academic Policies
Program Requirements
- Students must complete a total of 54 credit hours, including a minimum of 42 MATH credit hours and 9 credit hours in ancillary coursework.
- Students must complete at least 30 upper-division (3000-level and above) credit hours in the major.
- Students must earn a minimum grade of C- (1.7) in all major courses taken at CU Denver and must achieve a minimum cumulative major GPA of 2.25. All graded attempts in required and elective courses are calculated in the major GPA. Students cannot complete major or ancillary course requirements as pass/fail.
- Students must complete a minimum of 15 upper-division level MATH credit hours with CU Denver faculty.
Program Restrictions, Allowances and Recommendations
- Students must complete at least 15 of their upper-division level MATH credits with CU Denver faculty.
- Students may not use any of the following MATH courses to count toward major requirements:
- MATH 3195 Linear Algebra and Differential Equations
- MATH 3511 Mathematics of Chemistry
- MATH 3800 Probability and Statistics for Engineers
- MATH 4830 Applied Statistics
Programming Requirements
| Code | Title | Hours |
|---|---|---|
| Take one of the following programming requirements: | 3-4 | |
| MATH 1376 | Programming for Data Science | 3 |
| Or | ||
| CSCI 1410 & CSCI 1411 | Fundamentals of Computing and Fundamentals of Computing Laboratory | 4 |
Mathematics Courses
| Code | Title | Hours |
|---|---|---|
| Take all of the following Mathematics courses: | 33 | |
| MATH 1401 | Calculus I | 4 |
| MATH 2411 | Calculus II | 4 |
| MATH 2421 | Calculus III | 4 |
| MATH 3000 | Introduction to Abstract Mathematics | 3 |
| MATH 3191 | Applied Linear Algebra | 3 |
| MATH 3382 | Statistical Theory | 3 |
| MATH 4310 | Introduction to Real Analysis I | 3 |
| MATH 4387 | Applied Regression Analysis | 3 |
| MATH 4810 | Introduction to Probability | 3 |
| MATH 4779 | Math Clinic | 3 |
| or MATH 6330 | Workshop in Statistical Consulting | |
Probability and Statistics Courses
| Code | Title | Hours |
|---|---|---|
| Take one of the following Probability and Statistics courses: | 3 | |
| MATH 4390 | Game Theory | 3 |
| MATH 4394 | Experimental Designs | 3 |
| MATH 4792 | Probabilistic Modeling | 3 |
| MATH 5350 | Mathematical Theory of Interest | 3 |
| ECON 4030 | Data Analysis with SAS | 3 |
Electives
| Code | Title | Hours |
|---|---|---|
| Take two approved MATH electives (at least six semester hours) above the 3000 level, excluding 3195, 3511, 3800, and 4830. | 6 | |
| MATH 3200 | Elementary Differential Equations | 3 |
| MATH 3301 | Introduction to Optimization | 3 |
| MATH 3302 | Simulation in Operations Research | 3 |
| MATH 3376 | Data Wrangling & Visualization | 3 |
| MATH 3440 | Introduction to Symbolic Logic | 3 |
| MATH 4010 | History of Mathematics | 3 |
| MATH 4027 | Topics in Mathematics | 3 |
| MATH 4110 | Theory of Numbers | 3 |
| MATH 4140 | Introduction to Modern Algebra | 3 |
| MATH 4310 | Introduction to Real Analysis I | 3 |
| MATH 4320 | Introduction to Real Analysis II | 3 |
| MATH 4337 | Intro to Statistical and Machine Learning | 3 |
| MATH 4387 | Applied Regression Analysis | 3 |
| MATH 4388 | Machine Learning Methods | 3 |
| MATH 4390 | Game Theory | 3 |
| MATH 4394 | Experimental Designs | 3 |
| MATH 4408 | Applied Graph Theory | 3 |
| MATH 4409 | Applied Combinatorics | 3 |
| MATH 4450 | Complex Variables | 3 |
| MATH 4650 | Numerical Analysis I | 3 |
| MATH 4660 | Numerical Analysis II | 3 |
| MATH 4791 | Continuous Modeling | 3 |
| MATH 4792 | Probabilistic Modeling | 3 |
| MATH 4793 | Discrete Math Modeling | 3 |
| MATH 4794 | Optimization Modeling | 3 |
| MATH 4810 | Introduction to Probability | 3 |
Additional Courses
| Code | Title | Hours |
|---|---|---|
| Take three additional courses (typically 9 credits), countable towards a major in one of the following subjects, at any level: | 9 | |
Business
- Accounting - BS in Business Administration with Specialization in Information Systems
- Accounting, BS in Business Administration
- Entrepreneurship, BS in Business Administration
- Finance, BS in Business Administration
- Financial Management with Specialization in Information Systems, BS in Business Administration
- Financial Management, BS in Business Administration
- Human Resources Management, BS in Business Administration
- Information Systems, BS in Business Administration
- International Business, BS in Business Administration
- Management with Specialization in Information Systems, BS in Business Administration
- Management, BS in Business Administration
- Marketing with Specialization in Information Systems, BS in Business Administration
- Marketing, BS in Business Administration
- Risk Management and Insurance, BS in Business Administration
- Sports Business, BS in Business Administration
Biology
Chemistry
Computer Science
Economics
Geography and Environmental Science
- Geography - Environment, Society and Sustainability Option, BA
- Geography - Environmental Science Option, BA
- Geography - Urban Studies and Planning, BA
- Geography, BA
Health and Behavioral Science
Physics
Sociology
Other areas allowable on a case-by-case basis.
To learn more about the Student Learning Outcomes for this program, please visit our website.
To review the Degree Map for this program, please visit our website.