Social Science Research Methods

 Description

The concentration in  certificate program prepares students to acquire, manage and analyze a broad range of data on human thought and human behavior. Data can be qualitative (e.g., text, images, sound) or quantitative (e.g., direct observation, surveys, GIS). Data acquisition skills may include the downloading and managing of information from online sources or the primary collection of data in surveys or by direct observation. A key feature of this program is a focus on data analysis so that students will be able to analyze any data they collect. All students in this program will demonstrate skills in statistical analysis plus skills in a selection of methods related to their interests.

Requirements

• Students must complete a minimum of 18 credit hours including 12 of upper division hours for this concentration.
• All courses must be completed with a grade of “C” (2.00) or higher.
• A minimum 12 hours must be taken in courses offered at ASU.

Core 3 Hours Required

STP 452 Multivariate Statistics or an equivalent course approved by academic advisor (3)

Electives (12 credit hours; choose any four upper-division courses from the following list)

ACO 100: All About Data: Design, Query, and Visualization (CS) (3) 

ACT 435: Statistics for Risk Modeling (3) 

ACT 450: Actuarial Models and Modeling I (3)

ALA 235: Introduction to Computer Modeling (CS) (3) 

AML 253: Introduction to Mathematical Tools and Modeling for the Life and Social Sciences (3)

AML 441 / 494 / SOC 441 Mathematical Concepts and Tools in Sustainability (3)

ASM 494: Models in Social Evolution (3)

BME 301: Numerical Methods in Biomedical Engineering (2) 

BMI 211: Modeling Biomedical Decisions (3) 

BMI 311: Modeling Biomedical Knowledge (3) 

BMI 312: Modeling Biomedical Data (3) 

BMI 461: Advanced Topics in Biomedical Informatics I (3) 

BMI 462: Advanced Topics In Biomedical Informatics II (3) 

COM 308: Advanced Research Methods in Communication (L) (3) 

COM 407: Advanced Critical Methods in Communication (3) 

CRJ 303: Statistical Analysis (CS) (3) 

ECN 410: Applied Regression Analysis and Forecasting (3) 

ECN 416: Game Theory and Economic Behavior (3)

EDP 454: Statistical Data Analysis in Education (CS) (3) 

FAS 361  / SOC 391 Research Methods (L or SB) (3)

FAS 498 [*ADVAN* *STATI*] (1-4)

GCU 351: Population Geography (SB & G) (3)

GCU 373 Introduction to Geographic Information Science (SG) (4)

GCU 442 Geographical Analysis of Transportation (SB) (3)

GCU 496 Geographic Research Methods (L) (3) (Prerequisite(s): GPH 111 with C or better; GCU 102 with C or better; GIS 205 with C or better)

GIS 311 Geographic Information Science II (CS) (4) (Prerequisite(s): GIS 211 with C or better)

GIS 322 Spatial Data Structures and Algorithms (3) (Prerequisite(s): GIS 222 with C or better)

GIS 341 Introduction to Cartography and Georepresentation (CS) (3) (Prerequisite(s): GIS 205 with C or better)

GIS 431 Spatial Databases (3) (Pre-requisite: GIS 311; GIS 322)

GIS 441 Geographics Interactive and Animated Cartography and Geovisualization (CS) (3) (Prerequisite(s): GIS 222 with C or better)

GIS 461 / PUP 481 / GCU 494 Optimization Fundamentals for Spatial Analysis (3) (Prerequisite(s): MAT 170, 270, 271, or 272 with C or better; Credit is allowed for only GIS 461 or GIS 561 or PUP 481 or PUP 581)

GIS 462 / PUP 482 Location Analysis and Modeling (3) (Prerequisite(s): GIS 211 with C or better; GIS 461 with C or better; Credit is allowed for only GIS 462 or GIS 562 or PUP 482 or PUP 582 or PUP 598 (Location Modeling))

GIS 470 Statistics for Geographers (CS) (3) (Prerequisite(s) GIS 270 with C or better)

GIS 471 Geographic Information Analysis (3) (Pre-requisite: GIS 470)

GIS 472 Spatial Regression Analysis (3) (Pre-requisite: GIS 471; Credit is allowed for only GIS 472 or GPH 598 (Spatial Regression))

HSE 290: Experimental Methods for Human Systems Research (L) (3)

HSE 390: Qualitative Research Methods (L) (3)

IFT 200: Information Modeling, Storage and Retrieval (3)

MKT 352: Marketing Research (L) (3)

POS 301 / SGS 305 Empirical Political Inquiry (SB) OR SGS 305 Empirical Political Inquiry (SB) (3) (Prerequisite(s): minimum 45 hours; Credit is allowed for only POS 301 or SGS 305)

POS 401 Political Statistics (CS) OR SGS 401 Political Statistics (CS) (3) (Prerequisite(s): POS 301 or SGS 305 with C or better; Credit is allowed for only POS 401 or SGS 401)

PUP 424 Planning Methods (4) (Prerequisite(s): PUP 301 with C or better)

PSY 330: Statistical Methods (CS) (3) 

SBS 302: Qualitative Methods (3) 

SBS 404: Social Statistics II: Multivariate Analysis (CS) (3) 

SOC 389 / SBS 389 / ASB 389: Ethnographic Field Lab (1-6) 

SOS 211: Calculus and Probability for the Life and Social Sciences (MA) (3) 

STP 280: Probability and Statistics for Researchers (CS) (3)

STP 310 Design and Analysis of Experiments (3)

STP 311 Regression & Time Series Analyses (3)

STP 315 Statistical Computing (3)

STP 420 Introductory Applied Statistics (CS) (3)

STP 421: Probability (3) 

STP 425: Stochastic Processes (3)

STP 429 Experimental Statistics (CS) (3) (Prerequisite(s): STP 420 with C or better)

STP 450 Nonparametric Statistics (3)

STP 460 Categorical Data Analysis (3) (Prerequisite(s): STP 310, 311; MAT 272)

TWC 301: Fundamentals of Writing for Digital Media (L) (3) 

TWC 411: Principles of Visual Communication (L) (3)

Required Capstone Course (3 credit hours)

ASB 499 Individualized Instruction or an equivalent capstone course approved by academic advisor (3)