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The University of Texas at Austin

Lyndon B. Johnson School of Public Affairs

The Quantitative Sequence

Quantitative Prerequisites

In order to enroll in the beginning course of the quantitative sequence, Introduction to Quantitative Analysis (QA), a student must have completed either formal undergraduate coursework with a grade of C or better in calculus and statistics or passed the LBJ validation exam(s).

If you have already taken those prerequisite courses as part of your undergraduate curriculum, they will show in your admissions transcript and you need to do nothing else.

If you have not taken the required course(s), you have several options between your admission date and fall orientation in August:

If you have questions about enrolling in a certain course, the Camp LBJ quantitative syllabus is a source of information about course content. If you have the URL or syllabus for a prospective course you may send either to the Graduate Adviser for advice.

Summer Review

For new students who need to brush-up on their algebra, calculus, and/or statistics, a quantitative segment is offered as part of Camp LBJ. This segment is not a substitute for those who have never had an undergraduate math course.

Introduction to Quantitative Analysis (QA)

This course introduces students to the concepts, tools and pitfalls of quantitative analysis in decision-making. Its primary objective is the development of analytic thinking and communication skills through quantitative models.

Analytic ability is an indispensable element of a successful public administrator or policy analyst. While most of the core courses in the MPAff curriculum are designed to help develop this ability, this course focuses on one particular aspect: the rational approach to decision-making with emphasis on mathematical and statistical methodology. The intent of this course is neither to advocate this approach in public policy nor to dwell on the mechanics of specific techniques. Rather, the emphasis is on the abilities to conceptualize and to communicate issues in precise, analytic terms. Such abilities will be of prime importance in public service careers. The quantitative techniques acquired in this course should be considered beneficial side-products.

Advanced Emprical Methods for Policy Analysis

AEM is a required flexible course that offers students opportunities to study quantitative applications in depth. A range of topics are offered, from which MPAff students must select at least one. Successful completion of QA is a prerequisite.