The Dual MA in Economics/MS in Statistics allows students to earn both degrees with only 42 credit hours of coursework, a capstone economics project, and a capstone statistics project. The coursework includes 21 credit hours of economics specific coursework and 21 credit hours of mathematics/statistics specific coursework.
Economics specific coursework:
- ECON 5073 Microeconomic Theory
- ECON 5083 Macroeconomics Theory
- ECON 5813 Econometrics I
- ECON 5823 Econometrics II
- ECON 6053/6054 Seminar in Applied Economics1
- ECON 6073 Research Seminar2
- Three additional credits (typically, one course) from any ECON course numbered 5000 or higher.
Statistics MS specific coursework:
- One course from the following choices:
- MATH 5310 Probability
- MATH 5792 Probabilistic Modeling3
- MATH 6380 Stochastic Processes3
- Each of the following courses:
- MATH 5320 Statistical Inference
- MATH 5387 Applied Regression Analysis
- MATH 6330 Workshop in Statistical Consulting
- Six additional credits (typically, two courses) from the following choices:
- MATH 5337 Introduction to Statistical and Machine Learning
- MATH 5388 Machine Learning Methods
- MATH 5394 Experimental Designs4
- MATH 6101 Uncertainty Qualification
- MATH 5792 Probabilistic Modeling
- MATH 6380 Stochastic Processes
- MATH 6384 Spatial Data Analysis
- MATH 6388 Statistical and Machine Learning
- MATH 7384 Mathematical Probability4
- MATH 7386 Monte Carlo Methods
- MATH 7393 Bayesian Statistics
- MATH 7826 Topics in Probability and Statistics
- Additional courses with prior approval by the student’s advisor and the Director of the Program in Statistics.
- Three additional credits (typically, one course) from any MATH course numbered 5000 or higher except MATH 5010, MATH 5012-5015, MATH 5017, MATH 5198, and MATH 5830.
Graduate Examinations
- Students must successfully defend a capstone research paper that demonstrates their proficiency in the knowledge and skills comprising the MA degree in economics.
- A final examination in Mathematics consisting of an oral presentation is required.
Notes
1The "Seminar in Applied Economics" (ECON 6053, 6054) are 8-week 1.5 credit modules, two of which are offered each semester. These courses expose students to economic literature employing quantitative analysis within the fields being covered in the modules. Modules will include, for example, labor economics, public finance, monetary economics, and economic development. The students will be required to take two of these 8-week modules as part of the core; up to two additional modules can be taken for elective credit.
2The "Research Seminar" (ECON 6073) allows the student to undertake independent empirical research project under the guidance of department professors, who serve as mentors. This seminar replaces the traditional Masters thesis option and is intended to guide students through the process of conducting independent research and preparing a Masters paper.
3 Math 5792 and 6380 require a previous undergraduate/graduate course in probability.
4 Not regularly offered.
Program Requirements
- Students must complete a minimum of 42 credit hours of accepted coursework.
- Students must complete a minimum of 42 graduate level credit hours (courses numbered 5000 and above).
- Students must earn a minimum grade of B- (2.7) in all courses that apply to the degree and must achieve a minimum cumulative GPA of 3.0. All graded attempts in required and elective courses are calculated in the GPA. Courses taken using pass/fail grading cannot apply to program requirements.
- Students must complete all courses used for the dual degree with CU Denver faculty.
- As part of the Economics MA, all students must successfully defend a capstone research paper that demonstrates their proficiency in the knowledge and skills comprising the MA degree in Economics.
- As part of the Statistics MS, all students must take and pass a final oral examination that includes a written report (M.S. non-thesis option) or thesis (M.S. with thesis option). Passing this final oral examination fulfills the requirements of the capstone project.
Program Restrictions, Allowances, and Recommendations
- Up to nine semester hours of prior course work may be transferred in (subject to approval); these must be at the 5000 level or above with a B- or better grade. Courses already applied toward another degree (graduate or undergraduate) cannot be used toward the MS degree in Statistics. Credit cannot be transferred until the student has established a satisfactory record of at least six graduate credits in mathematics or statistics at CU Denver with a minimum GPA of 3.0. All transfer courses must be approved by the Graduate Program Director. Courses taken while registered as a non-degree student are considered transfer courses.
- According to graduate education policies and procedures, Master's students, whether enrolled full-time or part-time, must complete all degree requirements within seven years of matriculation.
- The following courses will not count toward the degree: MATH 5010, MATH 5012-5015, MATH 5017, MATH 5198, and MATH 5830
- In relation to completing the capstone project, 3-6 credits of MATH 5950 Master's Thesis or 3 credits of MATH 5960 Master's Project can be applied toward the degree. There is no co-credit between MATH 5950, MATH 5960, and MATH 6960 Research Methods in Mathematics and Statistics.