Courses

*Students may choose to take the Statistics I course from the Educational Psychology program (EPSY 70500) or from the Sociology program, depending on their particular interests.

The courses below are suggested Methods/Stats electives. QMSS students are allowed to take any electives from the GC, and larger CUNY system, as long as it is a master's level class or higher and you believe that it aligns with your research interests.  

*If QMSS students want to register for the DATA courses, they should email the program email datavis@gc.cuny.edu. 

*Students may choose to take the Statistics II course from the Educational Psychology program (EPSY 70500) or from the Sociology program, depending on their particular interests.

The courses below are suggested Methods/Stats electives. QMSS students are allowed to take any electives from the GC, and larger CUNY system, as long as it is a master's level class or higher and you believe that it aligns with your research interests.  

*If QMSS students want to register for the DATA courses, they should email the program email datavis@gc.cuny.edu. 

*Students may choose to take the Statistics I course from the Educational Psychology program (EPSY 70500) or from the Sociology program, depending on their particular interests.

The courses below are suggested Methods/Stats electives. QMSS students are allowed to take any electives from the GC, and larger CUNY system, as long as it is a master's level class or higher and you believe that it aligns with your research interests.  

*If QMSS students want to register for the DATA courses, they should email the program email datavis@gc.cuny.edu. 

*Students may choose to take the Statistics II course from the Educational Psychology program (EPSY 70600) or from the Sociology program, depending on their particular interests.

The courses below are suggested Methods/Stats electives. QMSS students are allowed to take any electives from the GC, and larger CUNY system, as long as it is a master's level class or higher and you believe that it aligns with your research interests.  
 

*If QMSS students want to register for the DATA courses, they should email the program email datavis@gc.cuny.edu. 

*Students may choose to take the Statistics I course from the Educational Psychology program (EPSY 70500) or from the Sociology program, depending on their particular interests.

Prof. Paul Attewell- pattewell@gc.cuny.edu
Soc. 71500: Sociological Statistics I
Mondays, 4:15-6:15pm, 3 credits

This is a first course about quantitative methods for social scientists. It presumes no previous coursework, so it is suitable for beginners. However, since most QMSS Masters students do have some background already, the course will move fairly quickly from basic to more advanced topics and go as far into the latter as time and the semester permit. The main focus will be on quantitative methods as tools for interrogating data, rather than on the mathematical or statistical underpinnings. Considerable emphasis will be placed on understanding what statistical tools to use in what contexts, and how to interpret results and how to reconfirm/test findings.

The software we will use is STATA. The class’ format, held in a computer classroom, will be a mix of lecture, demonstrations and student in-class exercises, so that students will have hands-on use of each statistical procedure as well as a theoretical understanding. Students will develop fluency in basic data management as well as in methods of analysis, using STATA.​

Prof. Jeremy Porter- jporter@gc.cuny.edu
QMSS. 81000: Quantitative Research Methods 
Mondays, 6:30-8:30pm, 3 credits

This course will cover issues pertaining to the applied research process in the collection, management, and analysis of quantitative data. Methods covered are intended to give students experience with a broad array of specific quantitative methods and a directed focus on the perspectives that underlie the application of such methods. The explicit goal of the course is to give students the foundational tools necessary to do high quality quantitative research in applied and academic settings. A sample of topics covered include; the science of science, the politics and ethics of research, developing novel research ideas, item measurement, instrumentation, sampling, understanding statistical inference, and a wide variety of topics associated with the collection, management, and analysis of quantitative data.

The courses below are suggested Methods/Stats electives. QMSS students are allowed to take any electives from the GC, and larger CUNY system, as long as it is a master's level class or higher and you believe that it aligns with your research interests.  
 

*Students may choose to take the Statistics II course from the Educational Psychology program or from the Sociology program, depending on their particular interests.

QMSS 75000 - Economics for Everyone
Thursdays, 6:30-8:30 PM, 3 Credits, Prof. Miles Corak (mcorak@gc.cuny.edu)
 
This may, or it may not be, your first economics course, but it can reasonably be your last. “Economics for Everyone” is specially designed to meet the needs of students in all disciplines who may have had only limited exposure to economics. You will learn the fundamental vocabulary and grammar of a subject central to many public policy debates—the big issues ranging from globalization to climate change, from inequality to unemployment—but also the smaller concerns central to everyday life, like why does my cappuccino cost so much? Upon completion you will have the skills and knowledge to be a more informed and engaged citizen. Our study of the subject moves through three themes. The first examines the method and scope of economics, introducing some fundamental principles, and by appealing to some important historical examples illustrates how the definition and methods of the subject have evolved. The second focuses on the “theory of value,” the micro-economics of perfectly competitive markets to illustrate the efficiency of markets and how economists think about the role of public policy when markets “fail.” The third theme introduces national income accounting and macroeconomics, the revolution in thinking in the aftermath of the Great Depression of the 1930s, and how this remains useful in understanding the Great Recession of the last decade.

*Students may choose to take the Statistics I course from the Educational Psychology program (EPSY 70500; Wed 4:15pm) or from the Sociology program, depending on their particular interests.

Prof. Paul Attewell- pattewell@gc.cuny.edu
Soc. 71500: Sociological Statistics I
Mondays, 4:15-6:15pm, 3 credits

This is a first course about quantitative methods for social scientists. It presumes no previous coursework, so it is suitable for beginners. However, since most QMSS Masters students do have some background already, the course will move fairly quickly from basic to more advanced topics and go as far into the latter as time and the semester permit. The main focus will be on quantitative methods as tools for interrogating data, rather than on the mathematical or statistical underpinnings. Considerable emphasis will be placed on understanding what statistical tools to use in what contexts, and how to interpret results and how to reconfirm/test findings.

The software we will use is STATA. The class’ format, held in a computer classroom, will be a mix of lecture, demonstrations and student in-class exercises, so that students will have hands-on use of each statistical procedure as well as a theoretical understanding. Students will develop fluency in basic data management as well as in methods of analysis, using STATA.​

Prof. Jeremy Porter- jporter@gc.cuny.edu
QMSS. 81000: Quantitative Research Methods 
Mondays, 6:30-8:30pm, 3 credits
This course will cover issues pertaining to the applied research process in the collection, management, and analysis of quantitative data. Methods covered are intended to give students experience with a broad array of specific quantitative methods and a directed focus on the perspectives that underlie the application of such methods. The explicit goal of the course is to give students the foundational tools necessary to do high quality quantitative research in applied and academic settings. A sample of topics covered include; the science of science, the politics and ethics of research, developing novel research ideas, item measurement, instrumentation, sampling, understanding statistical inference, and a wide variety of topics associated with the collection, management, and analysis of quantitative data.

The courses below are suggested Methods/Stats electives. QMSS students are allowed to take any electives from the GC, and larger CUNY system, as long as it is a master's level class or higher and you believe that it aligns with your research interests.  
 

*Students may choose to take the Statistics II course from the Educational Psychology program or from the Sociology program, depending on their particular interests.

Introduction to Demography--Professor Na Yin
Thursday 4:15-6:15pm
This course will review the demographic, social and economic determinants of fertility, health, mortality and related demographic phenomena. Further, in order to more fully understand many social and economic conditions we face today, the course examines the effects of population size, structure, and processes on these conditions. Topics will include, among others: the demographic transition; aging and mortality; fertility, family planning and reproductive health; urbanization; migration; family demography, including marriage, living arrangements, and family structure; population and environment; consequences of population growth for economic development; and the demographic future.