Both domestic U.S. and international students are welcome to apply.  The program is a short but comprehensive treatment of the field at an introductory fundamental level. The program is taught at the graduate level but is significantly less intensive than the onsite M.S. program in survey methodology offered by JPSM.
 

There are three types of Online Graduate Certificates. Click the sections to open panels:

Program overview

The Post Baccalaureate (Graduate) Certificate in Fundamentals of Survey Methodology is designed for the working professional whose education omitted courses in the field of survey methodology. Courses cover key core areas of survey methodology, from the design of surveys to the data collection methods, and to the analysis of the survey data.  
The program provides training in areas needed to professionally design and execute surveys of households, business establishments, institutions, and other populations. Students will learn the construction of questionnaires that reliably measure desired concepts, use of computer assistance in data collection, how different modes of data collection can be used to improve survey data, cognitive psychological applications to survey measurement, and methods of non-sampling error reduction. Students will also learn how to analyze survey data properly reflecting the complex survey design features.

Requirements and courses overview

  • The certificate will require a total of 12 credits.  Online courses are held on a semester schedule.
  • Students admitted to the certificate program can take up to 6 credits a term. The expectation is that students would complete the program in 18 months, or less.
  • Students will participate in the online courses using their own computers, providing flexibility for working professionals. The lectures will be recorded and accompanied by real time, weekly online office hours or discussion sessions.
  • Recorded lecture material will be posted online at a pre-specified time each week.
  • Students will be required to view the class within a set period (usually one week) and are required to submit regular homework assignments.
  • Mandatory online discussions hosted by the instructor will be used for answering questions and reviewing material presented in lectures.

Required Courses (7 credits)

SURV 400 - Fundamentals of Survey and Data Science (3 credits)

SURV 626 - Sampling I (2 credits)

SURV 631 - Questionnaire Design (2 credits)
 

At least two (2) credits from the following list:
 

SURV 623 Data Collection Methods in Survey Research (3 credits)

SURV 627 Experimental Design for Surveys (2 credits)

SURV 635 Usability Testing for Survey Research (1 credit)

SURV 656 Web Survey Methodology (2 credits)

SURV 702 Analysis of complex Survey Data (2 credits)

SURV 747 Practical Tools for Sampling (2 credits)

SURV 748 Practical Tools for Weighting (1 credit)

An additional three (3) credits of elective online SURV courses numbered 620 or above, including those listed above.

 

Program overview

The Post Baccalaureate (Graduate) Certificate in Fundamentals of Survey Statistics offers training in sampling design and estimation for individuals who have graduate-level coursework in statistics but desire specific knowledge and training in survey statistics.
 
The program provides training in statistical foundations of sampling and estimation in complex surveys, construction of questionnaires that reliably measure desired concepts, use of computer assistance in data collection, how different modes of data collection can be used to improve survey data, cognitive psychological applications to survey measurement, and methods of nonsampling error reduction. Students will also learn how to analyze survey data properly reflecting the complex survey design features.  

Requirements and courses overview

  • The certificate will require a total of 12 credits.  Online courses are held on a semester schedule.
  • Students admitted to the certificate program can take up to 6 credits a term. The expectation is that students would complete the program in 18 months, or less.
  • Students will participate in the online courses using their own computers, providing flexibility for working professionals. The lectures will be recorded and accompanied by real time, weekly online office hours or discussion sessions.
  • Recorded lecture material will be posted online at a pre-specified time each week.
  • Students will be required to view the class within a set period (usually one week) and are required to submit regular homework assignments.
  • Mandatory online discussions hosted by the instructor will be used for answering questions and reviewing material presented in lectures.

Required Courses (7 credits)

SURV 400 - Fundamentals of Survey and Data Science (3 credits)
SURV 626 - Sampling I (2 credits)
SURV 702 - Analysis of Complex Survey Data (2 credits)

At least two (2) credits from the following list:

SURV 636 Sampling II (2 credits)
SURV 742 Inference from Complex Surveys (2 credits)
SURV 735 Data Confidentiality and Statistical Disclosure Control (2 credits)
SURV 730 Measurement Error (1 credit)
SURV 726 Multiple Imputation (1 credit)
SURV 667 Introduction to Record Linkage with Big Data Applications (1 credit)
SURV 662 Introduction to Small Area Estimation (3 credits)
SURV 747 Practical Tools for Sampling (2 credits)
SURV 748 Practical Tools for Weighting (1 credit)

An additional three (3) credits of elective online SURV courses numbered 620 or above, including those listed above.
 

 

Program overview

The Post Baccalaureate (Graduate) Certificate in Fundamentals of Survey and Data Science prepares students to be data-centric research professionals, ready to use new technologies and methodologies to improve the quality of social and statistical data. In the program, students receive technical training about how to collect, manipulate, and analyze data to answer a research question. With its unique focus on surveys, this data science program provides students with the skills and knowledge necessary to successfully lead projects and efforts that involve data from both surveys and non-traditional Big Data sources. 

Students obtain a certificate by completing nine (8) credits of required courses and three (4) credits of electives. It is expected that students do this in two years or less. The courses are fully online and come from the growing catalog of courses offered through the Master of Professional Studies in Survey and Data Science.
 
Requirement and courses overview

  • The certificate will require a total of 12 credits.  Online courses are held on a semester schedule.
  • Students admitted to the certificate program can take up to 6 credits a term. The expectation is that students would complete the program in 18 months, or less.
  • Students will participate in the online courses using their own computers, providing flexibility for working professionals. The lectures will be recorded and accompanied by real time, weekly online office hours or discussion sessions.
  • Recorded lecture material will be posted online at a pre-specified time each week.
  • Students will be required to view the class within a set period (usually one week) and are required to submit regular homework assignments.
  • Mandatory online discussions hosted by the instructor will be used for answering questions and reviewing material presented in lectures.

Required Courses (8 credits)

SURV 400 Fundamentals of Survey and Data Science (3 credits)
SURV 751 Introduction to Big Data and Machine Learning (1 credit)
SURV 673 Python/SQL (1 credit)
SURV 736 Web Scraping and APIs (1 credit)
SURV 752 Introduction to Data Visualization (1 credit)
SURV 624 Privacy Law (1 credit)

An additional four (4) credits of elective online SURV courses numbered 620 or above,
from those listed below:

SURV 725 Item Nonresponse & Imputation (1 credit)
SURV 726 Multiple Imputation (1 credit)
SURV 730 Measurement Modeling Error (1 credit)
SURV 703 Computer-Based Content Analysis I (1 credit)
SURV 704 Computer-Based Content Analysis II (1 credit)
SURV 665 Intro to Real World Data Management (1 credit)
SURV 699J GLM – Data Analysis (2 credits)