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Organization, Regulations, and Courses 2016-17


Quantitative Social Science

Chair:  Yusaku Horiuchi

Professors J. M. Carey (Government), M. C. Herron (Government), Y. Horiuchi (Government), J. H. Levine (Quantitative Social Science), S. D. Pauls (Mathematics), D. Rockmore (Mathematics, Computer Science), A. A. Samwick (Economics), R. A. Shumsky (Operations at Tuck Business School); Assistant Professor K. B. Rogers (Sociology); Adjunct Assistant Professor J. Chipman (Geography and Earth Sciences).

The Program in Quantitative Social Science (QSS) brings together Dartmouth faculty and students who are interested in applying statistical, computational, and mathematical tools to social science questions. QSS offers undergraduates a minor and an honors major, both of which combine mathematical training with one or more of the social sciences. Through QSS, Dartmouth undergraduates can integrate the power of modern quantitative and computational methods with the substance of a social science discipline.

 

To view Quantitative Social Science courses, click here.

  

The Major in Quantitative Social Science

Honors standing is required (described in the Regulations section of this catalog).

The major consists of courses to be selected from the following areas:

Prerequisites: 

• Programming: either COSC 1 or ENGS 20, or another programming course approved by the QSS Chair.

• Mathematics: MATH 3 and MATH 8.

• Introductory statistics: either ECON 10, GOV 10, MATH 10, QSS 15, PSYC 10, or SOCY 10, or another introductory statistics course approved by the QSS Chair. 

• Intermediate statistics: either ECON 20, GOV 19, MATH 40, MATH 50, or another intermediate statistics course approved by the QSS Chair.

• Modeling: either ECON 21, GOV 18/QSS 18, or another game theory course approved by the QSS Chair.

Introductory social science: one of ANTH 1, ANTH 6, ECON 1, EDUC 1, GEOG 1, GEOG 6, GOV 3, GOV 4, GOV 5, GOV 6, PSYC 1, or SOC 1, or another course approved by the QSS Chair.

Methods-oriented requirements:

MATH 11, MATH 13, or MATH 22.

AND two courses from the following:

COSC 74, Machine Learning and Statistical Data Analysis
GEOG 50, Geographical Information Systems
GEOG 54, Geovisualization
MATH 36, Mathematical Models in the Social Sciences
MATH 50, Introduction to Linear Models
MATH 76, Topics in Applied Mathematics (to be approved by the QSS Chair)
QSS 17, Data Visualization
QSS 30, Special Topics in QSS
QSS 41, Analysis of Social Networks

The special topics course, QSS 30, may be taken more than once as long as different electives are selected.  Moreover, with permission of the QSS Chair students may substitute other courses offered at Dartmouth for any of the two required courses listed above.

Social science requirements:

Four non-introductory courses that focus on a social science area of the student's choosing.  A student pursuing the major in QSS should consider the extent to which his or her social science courses are coherent, and the QSS Chair will be available to offer guidance on this.

Thesis requirement:

Each QSS major must complete an honors thesis and take QSS 88 for credit at some point during the student's thesis year.  This course will in general be taken in the winter quarter.  The thesis will be graded and presented in accordance with Dartmouth College thesis rules and guidelines that have been established by the QSS Steering Committee and can be viewed on the QSS website.

For further details, consult the QSS Chair.

 

The Minor in Quantitative Social Science

The QSS minor was designed based on the belief that quantitatively- and computationally-oriented students who have interests in social science should be taught a core set of skills. Such students need to know the basics of computer programming; they need a foundation in calculus; they need to know the basics of statistical inference; they need exposure to mathematical modeling; they need to be familiar with research design; and, they need hands-on exposure to the rewards and difficulties of research.   The QSS minor embodies these objectives and empowers students to answer important empirical questions about the world.

 

The minor consists of courses to be selected from the following areas:

Five prerequisites: 

• Programming: either COSC 1 or ENGS 20.

• Intermediate calculus: MATH 8.

• Mathematical modeling: either GOV 18, MATH 36, QSS 30.04, or ECON 21 (or another course approved by the QSS Chair).

• Introductory statistics: either ECON 10, ENVS 10, GOV 10, MATH 10, QSS 15, PSYC 10, or SOCY 10.

• Intermediate statistics: either ECON 20, GOV 19, MATH 40, MATH 50, or QSS 45.

 AND Three courses from the following:

COSC 74, Machine Learning and Statistical Data Analysis
GEOG 50, Geographical Information Systems
GEOG 54, Geovisualization
GOV 83.21, Experiments in Politics
MATH 70, Elements of Multivariate Statistics and Statistical Learning
QSS 17, Data Visualization
QSS 30, Special Topics in QSS
QSS 41, Analysis of Social Networks

The special topics course, QSS 30, may be taken more than once.  Moreover, with permission of the QSS chair students may substitute other courses offered at Dartmouth for any of the three required courses listed above.

AND One research seminar:  QSS 80