The major in Economics and Statistics provides an interdisciplinary course of study aimed at students with a strong interest in the empirical analysis of economic data. Jointly administered by the Department of Statistics and the Undergraduate Economics Program, the major's curriculum provides students with a solid foundation in the theories and methods of both fields. Students in this major are trained to advance the understanding of economic issues through the analysis, synthesis and reporting of data using the advanced empirical research methods of statistics and econometrics. Graduates are well positioned for admission to competitive graduate programs, including those in statistics, economics and management, as well as for employment in positions requiring strong analytic and conceptual skills - especially those in economics, finance, education, and public policy.
Curriculum
| I. Prerequisites | 66/76 units | |
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| 1. Mathematical Foundations | 38 units | |
| 21-120 | Differential and Integral Calculus | |
| 21-122 | Integration, Diff Equations, and Approximations | |
| 21-259 | Calculus in Three Dimensions | |
| 21-240 or 21-241 | Matrix Algebra | |
| 2. Economics Foundations | 10 units | |
| 73-100 | Principles of Economics | |
| 3. Statistical Foundations | 18 units | |
| 36-201* | Introduction to Statistical Reasoning and Practice | |
| and one of the following: | ||
| 36-202 | Introduction to Statistical Methods | |
| 36-208 | Regression Analysis (cross listed as 70-208) | |
| 36-309 | Experimental Design for Behavioral & Social Sciences | |
| or extra statistical elective** | ||
| 4. Programming Prerequisite+ | 10 units | |
| 15-110 | Principles of Computer Science | |
| II. Disciplinary Core |
129/120 units |
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| 1. Economics Core | 48 units | |
| 73-150 | Intermediate Microeconomics | |
| 73-200 | Intermediate Macroeconomics | |
| 73-252 | Advanced Microeconomic Theory | |
| 73-253 | Advanced Macroeconomic Theory | |
| 73-261 | Econometrics | |
| 73-270 | Writing for Economists | |
| 2. Statistics Core | 36 units | |
| 36-225*** | Introduction to Probability Theory | |
| 36-226*** | Introduction to Statistical Inference | |
| 36-401*** | Applied Linear Regression | |
| 36-402 | Advanced Data Analysis | |
| 3. Advanced Electives | 45/36 units | |
| Students must take two advanced economics elective courses (numbered 73-300 through 73-495) and two advanced statistics elective courses (numbered 36-300 through 36-495).
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| Total number of units for the MAJOR |
195 units |
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| Total number of units for the DEGREE | 360 units | |
* Acceptable equivalents for 36-201 are 36-207, 36-220, 36-247.
** For students who enter the program with 36-225/226. Discuss options with your advisor.
*** In order to be a major in good standing, a grade of at least a C is required in 36-225 (or 36-217), 36-226, and 36-401. Otherwise, you will not be allowed to continue in the major.
+ Programming requirement only applicable to students graduating prior to Fall 2012
++ Additional fifth elective only applicable to students graduating after Summer 2012
The College of Humanities and Social Sciences General Education Requirements apply to all Statistics majors. For other applicable College policies see the undergraduate catalog. The University policies on transfer credit apply to all Statistics majors.
© 2012 Department of Statistics, Carnegie Mellon University