Economics BA/Mathematics, BS - Dual Degree
Introduction
Please click here to see Economics department information or here for Mathematical and Statistical Sciences department information.
A solid training in the mathematical and statistical sciences is fundamental to optimally prepare economics students for graduate school. A dual degree in economics and mathematics will substantially increase program quality and career prospects for our students, as well as enhance the reputation of the economics program at CU Denver. Similarly, a solid training in quantitative and qualitative economic principles offers significant benefits to mathematics majors who seek industrial and/or consulting positions.
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 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 major courses taken at CU Denver and must achieve a minimum cumulative GPA of 2.0 in ECON courses and a cumulative GPA of 2.25 in MATH courses. 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 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.
Required Courses
Economics
| Code | Title | Hours |
|---|---|---|
| Take all of the following Economics courses: | 15 | |
| ECON 2012 | Principles of Economics: Macroeconomics | 3 |
| ECON 2022 | Principles of Economics: Microeconomics | 3 |
| ECON 4071 | Intermediate Microeconomic Theory | 3 |
| ECON 4081 | Intermediate Macroeconomic Theory | 3 |
| ECON 4811 | Introduction to Econometrics | 3 |
Mathematics
| Code | Title | Hours |
|---|---|---|
| Take all of the following Mathematics courses: | 30 | |
| 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 3200 | Elementary Differential Equations | 3 |
| MATH 3382 | Statistical Theory | 3 |
| MATH 4310 | Introduction to Real Analysis I | 3 |
| MATH 4779 | Math Clinic | 3 |
Programming Requirements
| Code | Title | Hours |
|---|---|---|
| Take one of the following programming requirements: | 3-4 | |
| MATH 1376 | Programming for Data Science | 3 |
| CSCI 1410 & CSCI 1411 | Fundamentals of Computing and Fundamentals of Computing Laboratory | 4 |
Electives
Economics
| Code | Title | Hours |
|---|---|---|
| Take 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. | ||
| ECON 3050 | Decision Making | 3 |
| ECON 3100 | Economics of Race and Gender | 3 |
| ECON 3300 | Economics of Crime and Punishment | 3 |
| ECON 3366 | Managerial Economics | 3 |
| ECON 3400 | Economics of Sex and Drugs | 3 |
| ECON 3415 | Issues in International Trade and Finance | 3 |
| ECON 3770 | Issues in Economic Development | 3 |
| ECON 4001 | Topics in Economics | 3 |
| ECON 4030 | Data Analysis with SAS | 3 |
| ECON 4050 | Special Economic Problems | 3 |
| ECON 4090 | History of Economic Thought | 3 |
| ECON 4110 | Money and Banking | 3 |
| ECON 4150 | Economic Forecasting | 3 |
| ECON 4210 | Public Finance | 3 |
| ECON 4240 | Economic Policy Analysis | 3 |
| ECON 4310 | Managerial Economics | 3 |
| ECON 4318 | Urban Economics | 3 |
| ECON 4320 | Financial Economics | 3 |
| ECON 4410 | International Trade | 3 |
| ECON 4420 | International Finance | 3 |
| ECON 4430 | Economic Growth | 3 |
| ECON 4461 | Economic Incentives | 3 |
| ECON 4530 | Economics of Natural Resources | 3 |
| ECON 4540 | Environmental Economics | 3 |
| ECON 4550 | Game Theory and Economic Applications | 3 |
| ECON 4610 | Labor Economics | 3 |
| ECON 4640 | Sports Economics | 3 |
| ECON 4660 | Health Economics. | 3 |
| ECON 4670 | Economics of Population and Growth | 3 |
| ECON 4740 | Industrial Organization | 3 |
| ECON 4770 | Development Economics | 3 |
| ECON 4812 | Advanced Econometric Methods | 3 |
| MATH 3301 | Introduction to Optimization | 3 |
| MATH 3302 | Simulation in Operations Research | 3 |
| MATH 4390 | Game Theory | 3 |
| MATH 4387 | Applied Regression Analysis | 3 |
| MATH 4650 | Numerical Analysis I | 3 |
| MATH 4733 | Partial Differential Equations | 3 |
| MATH 4810 | Introduction to Probability | 3 |
| MATH 5350 | Mathematical Theory of Interest | 3 |
Mathematics
| Code | Title | Hours |
|---|---|---|
| Take 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 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 can be double counted as the fourth Mathematics elective. | ||
| ECON 4030 | Data Analysis with SAS | 3 |
| ECON 4110 | Money and Banking | 3 |
| ECON 4150 | Economic Forecasting | 3 |
| ECON 4320 | Financial Economics | 3 |
| ECON 4430 | Economic Growth | 3 |
| ECON 4550 | Game Theory and Economic Applications | 3 |
| ECON 4610 | Labor Economics | 3 |
| ECON 4740 | Industrial Organization | 3 |
| MATH 3041 | Fundamental Mathematics: Algebra, Probability and Data Analysis | 3 |
| MATH 3210 | Higher Geometry I | 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 4015 | Capstone Course for Secondary Teachers | 3 |
| MATH 4027 | Topics in Mathematics | 3 |
| MATH 4110 | Theory of Numbers | 3 |
| MATH 4140 | Introduction to Modern Algebra | 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 4733 | Partial Differential Equations | 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 |
| MATH 4820 | Introduction to Mathematical Statistics | 3 |
| MATH 5350 | Mathematical Theory of Interest | 3 |
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.