The fields of mathematics and economics are inextricably linked. In economics, mathematics and statistics are used extensively in theory construction, tests of existing theories and discovery of regularities to inform new theories. Economics also gives mathematicians/statisticians new challenges, new outlets and new ideas to incorporate in mathematics. These complementarities have long been recognized and economics graduate students have always been advised to take advanced courses in statistics.
There are an increasing number of economics MA students wishing to obtain graduate training and a degree in statistics. Having an MA degree in economics and an MS degree in Statistics will make a student highly employable in the job market and provide them an edge in applying for elite PhD programs.
42 hours: 21 in Economics and 21 in Mathematics and Statistical Sciences
Core Courses (36 hours) B- or better required in all core courses with a B average or above over all coursework. No course may be taken a third time.
Microeconomic Theory (Econ 5073) - 3 hrs.
Macroeconomic Theory (Econ 5083) - 3 hrs.
Econometrics I (Econ 5813) - 3 hrs.
Econometrics II (Econ 5823) - 3 hrs.
Sem. in Applied Econ. (Econ 6053/6054) - 3 hrs.
Applied Analysis (Math 5070) - 3 hrs.
Applied Linear Algebra (Math 5718) - 3 hrs.
Workshop in Statistical Consulting (Math 6330) - 3 hrs.
Advanced Stat. Methods for Research (Math 6388) - 3 hrs.
Mathematical Statistics I (Math 7381) - 3 hrs.
Mathematical Statistics II (Math 7382) - 3 hrs.
Research Seminar (Econ 6073) - 3 hrs.
This course satisfies the final examination for MA in Economics through a research project and presentation.
A final examination in Mathematics consisting of an oral presentation is required (no associated course or credit).
3 hours in Economics and 3 hours in Mathematics at the 5000 level or above.
The following courses do not count towards any graduate degree in applied mathematics: MATH5000-5010, MATH5017, MATH5198, and MATH5250.