Economics BA/Mathematics, BS - Dual Degree
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 minimum of 72 hours with a minimum of 30 ECON credit hours and a minimum of 39 MATH credit hours.
- Students must complete a minimum of 27 upper division (3000-level and above) ECON credit hours and a minimum of 27 upper division (3000-level and above) MATH credit hours.
- Students must earn a minimum grade of C- (1.7) in all courses that apply to the majors and must achieve a minimum cumulative GPA of 2.0 in ECON courses and a cumulative GPA of 2.25 in MATH courses. One ECON elective with a grade of D+, D, or D- will count towards major requirements. Courses taken using P+/P/F or S/U grading cannot apply to major requirements.
- Students must complete a minimum of 18 ECON credit hours including ECON 4811 Introduction to Econometrics, with CU Denver faculty. Once a student has enrolled at CU Denver, no more courses in the major can be taken outside the CU Denver Economics Department. This includes courses offered at Metropolitan State University. The department reserves the right to require a demonstration of competence for any core courses not taken from CU Denver faculty. Additionally, the Department of Mathematical and Statistical Sciences requires that at least 15 upper-division Mathematics credits must be taken at CU Denver.
Program Restrictions, Allowances and Recommendations
- In addition to the CLAS residence requirements, the Economics Department requires that all courses other than ECON 2012 Principles of Economics: Macroeconomics and ECON 2022 Principles of Economics: Microeconomics require written department approval to be transferred in as satisfying major requirements.
- A student who attempts the dual degree but who does not fulfill all requirements for the Mathematics BS will need to complete the requirements for the Economics BA as a stand-alone degree. A Mathematics elective will substitute for one of the six economics electives only if all requirements of the Mathematics major are met.
| Code | Title | Hours |
|---|---|---|
| Complete one of the following programming requirements: | 3 | |
| Programming for Data Science | ||
| Fundamentals of Computing and Fundamentals of Computing Laboratory | ||
| Complete all of the following Economics courses: | 15 | |
| Principles of Economics: Macroeconomics | ||
| Principles of Economics: Microeconomics | ||
| Intermediate Microeconomic Theory | ||
| Intermediate Macroeconomic Theory | ||
| Introduction to Econometrics | ||
| Complete all of the following Mathematics courses: | 30 | |
| Calculus I | ||
| Calculus II | ||
| Calculus III | ||
| Introduction to Abstract Mathematics | ||
| Applied Linear Algebra | ||
| Elementary Differential Equations | ||
| Introduction to Real Analysis I | ||
| Statistical Theory | ||
| Math Clinic | ||
| Complete a minimum of 15 elective credit hours in ECON | 15 | |
| Complete a minimum of 9 elective credit hours in MATH | 9 | |
| Total Hours | 72 | |
Economics Electives
| Code | Title | Hours |
|---|---|---|
| Complete six upper division level Economics elective courses or five Economics elective courses plus one Mathematics elective course from the list below. | 15 | |
| A minimum of four of these courses must be at the 4000-level. | ||
| ECON 3801 Introduction to Mathematical Economics and ECON 3811 Statistics with Computer Applications cannot be counted as electives. | ||
| One of the following approved Mathematics electives can be double counted as the sixth Economics elective. | ||
| Decision Making | ||
| Economics of Race and Gender | ||
| Economics of Crime and Punishment | ||
| Managerial Economics | ||
| Economics of Sex and Drugs | ||
| Issues in International Trade and Finance | ||
| Issues in Economic Development | ||
| Topics in Economics | ||
| Data Analysis with SAS | ||
| Special Economic Problems | ||
| History of Economic Thought | ||
| Money and Banking | ||
| Economic Forecasting | ||
| Public Finance | ||
| Economic Policy Analysis | ||
| Managerial Economics | ||
| Urban Economics | ||
| Financial Economics | ||
| International Trade | ||
| International Finance | ||
| Economic Growth | ||
| Economic Incentives | ||
| Economics of Natural Resources | ||
| Environmental Economics | ||
| Game Theory and Economic Applications | ||
| Labor Economics | ||
| Sports Economics | ||
| Health Economics. | ||
| Economics of Population and Growth | ||
| Industrial Organization | ||
| Development Economics | ||
| Advanced Econometric Methods | ||
| Introduction to Optimization | ||
| Introduction to Probability | ||
| Game Theory | ||
| Applied Regression Analysis | ||
| Numerical Analysis I | ||
| Partial Differential Equations | ||
Mathematics Electives
| Code | Title | Hours |
|---|---|---|
| Complete four upper-division level Mathematics elective courses or three Mathematics elective course plus one Economics elective course from the list of approved Economics electives below. | 9 | |
| Excluding MATH 3041 Fundamental Math: Algebra, Probability and Data Analysis, MATH 3195 Linear Algebra and Differential Equations, MATH 3511 Mathematics of Chemistry, MATH 3800 Probability and Statistics for Engineers, and MATH 4830 Applied Statistics. | ||
| One of the following approved Economics electives at the end of the list can be double counted as the fourth Mathematics elective. | ||
| Introduction to Optimization | ||
| Data Wrangling & Visualization | ||
| Introduction to Symbolic Logic | ||
| Introduction to Probability | ||
| History of Mathematics | ||
| Topics in Mathematics | ||
| Theory of Numbers | ||
| Introduction to Modern Algebra | ||
| Introduction to Real Analysis II | ||
| Intro to Statistical and Machine Learning | ||
| Applied Regression Analysis | ||
| Machine Learning Methods | ||
| Game Theory | ||
| Applied Graph Theory | ||
| Applied Combinatorics | ||
| Complex Variables | ||
| Numerical Analysis I | ||
| Numerical Analysis II | ||
| Partial Differential Equations | ||
| Probabilistic Modeling | ||
| Data Analysis with SAS | ||
| Money and Banking | ||
| Economic Forecasting | ||
| Financial Economics | ||
| Economic Growth | ||
| Game Theory and Economic Applications | ||
| Labor Economics | ||
| Industrial Organization | ||
| Advanced Econometric Methods | ||
To learn more about the Economics BA Student Learning Outcomes for this program, please visit our website.
To learn more about the Mathematics BS Student Learning Outcomes for this program, please visit our website.
To review the Degree Map for this program, please visit our website.