CSSCRTG - Computational Social Sciences

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Eligibility for the program:

The student must be enrolled in a Ph.D. or Master's program at the University of Arizona and in good standing (this includes students currently enrolled in MA/MS programs that are prerequisite components of Ph.D. programs and who are expected to formally advance to Ph.D. programs). The student should have a 3.5 or higher graduate GPA at the University of Arizona.  Exceptions will be reviewed by the faculty advisory committee. 

Requirements for the certificate:

To successfully complete the certificate the student must complete 4 courses for a total of 12 credits, with a grade of ‘B’ or better in each course: one required three-credit course, plus three three-credit graduate level electives (5XX, 6XX) drawn from a list of courses approved by the certificate’s faculty advisory committee (see Courses Tab on the website for a list of options).  One of the three electives could be an independent study where the student would work on a project under the guidance of a faculty member from the advisory committee.  At least two of the four courses must be outside the student’s home unit to ensure breadth of exposure to different approaches.  The required course will give an overview of CSS research, introduce relevant computing skills, discuss the theory and epistemology behind CSS, and explore ethical issues particular to CSS research.

Admissions:

Students should go to the University of Arizona Graduate Admissions Application (GradApp) to submit their application (https://apply.grad.arizona.edu/users/login). The student has to submit a letter of intent describing what they want from the certificate (no more than two pages).  They also have to list the classes they tentatively plan on taking.  The student’s adviser or the DGS in his/her program needs to anwer the questions in GradApp attesting to their graduate status amd listing any special qualifications. An unofficial copy of a University of Arizona transcript must be uploaded to the application. Upon admission the Graduate College will require official transcripts. No course prerequisites, prior knowledge of a programming language, or standardized tests are required for admission.

If the applicant or faculty have questions, please contact either the Director, Prof. Joseph Galaskiewicz (galaskie@email.arizona.edu) or the Graduate Coordinator, Ms. Stephanie Amado (samado@email.arizona.edu).

Required courses (choose only one):

• INFO 514 Computational Social Science (3 credits) (TBA), or

• PA 572 Digital Research in Politics and Policy (3 credits) (Y. Shmargad)

School of Information
Elective courses:

• INFO 510 Bayesian Modeling and Inference (3 credits) (C. Morrison)

• INFO 514 Computaional Social Science (3 credits) (TBA)

• INFO 516 Introduction to Human Computer Interaction (3 credits) (L. Bozgeyikli)

• INFO 521 Introduction to Machine Learning (3 credits) (C. Morrison)

• INFO 529 Applied Cyberinfrastructure Concepts (3 credits) (N. Merchant and E. Lyons)

• INFO 523 Data Mining and Discobvery (3 credits) (H. Cui)

• INFO 550 Artificial Intelligence (3 credits) (C. Morrison)

• INFO 555 Applied Natural Language Processing (3 credits) (S. Bethard)

• INFO 557 Neural Networks (3 credits) (S. Bethard)

• INFO 575 User Interface and Website Design (3 credits) (M. Fricke)

School of Sociology
Elective courses:

• SOC 511 Formal Models for Cultural Analysis (3 credits) (R. Breiger) SOC 526 Methods for Social Network Analysis (3 credits) (R. Breiger)*

• SOC 526 Methods for Social Network Analysis (3 credits) ( R. Breiger) *

• SOC 527 Social Networks (J. Galaskiewicz)*

• SOC 552 Advanced Topics in Stratification (3 credits) (R. Breiger)*

• SOC 561 Programming for the Social Sciences (3 credits) (J. Earl)

• SOC 596a Advanced Topics in Research: BD Big Data Techniques for Social Scientists (3 credits) (Unstaffed)*

• SOC 596a Advanced Topics in Research: RM Advanced Topics in Research Methodology (3 credits) (E. Leahey)*

Department of Linguistics
Elective courses:

• LING 508 Computational techniques for linguists (3 credits) (M. Hammond)

• LING 529 Human Language Technology I (3 credits) (M. Hammond)

• LING 531 Human Langauge Technology II (3 credits) M. Hammond)

• LING 538 Computational linguistics (3 credits) (S. Fong)*

• LING 539 Statistical natural language processing (3 credits) (M. Surdeanu/Bethard)

• LING 578 Speech technology (3 credits) (M. Hammond)

• LING 581 Advanced computational linguistics (3 credits) (S. Fong)*

• LING 583 Text retrieval and web search (3 credits) (M. Surdeanu)]

• LING 696b Seminar in phonology: “neural nets and machine learning in phonology and morphology” (3 credits) (M. Hammond)

• LING 696g Topics in computational linguistics (3 credits) (S. Fong)*

Department of Communication
Elective courses:

• COMM 640: Research Methodologies III (3 credits) (J. Bonito)*

• COMM 696R: Advanced Communication Research Methods (Structural equation modeling) (3 credits) (J. Bonito)*

• COMM 696R: Advanced Communication Research Methods (Data Management in R) (3 credits) (S. Rains)

School of Anthropology

• ANTH 595D: Special Topics in Biological Anthropology: R programming for data analysis and visualization (3 credits) (E. MacLean)*

School of Government and Public Policy
Elective courses:

• PA 572: Digital Research in Politics and Policy (3 credits) (Y. Shmargad)

• POL 610: Theory and Methods for the Analysis of Political Networks (3 credits) (A. D. Henry)*

• POL 684: Causal Inference (3 credits) (L. Bakkensen)*

• POL 688: Digital Traces in Political and Social Research (3 credits) (Y. Shmargad)

Department of English
Elective courses:

• ENGL/SLAT 596o: Corpus Linguistics (S. Staples)

School of Geography

•  GEOG 557: Statistical Techniques in Geography, Regional Development and Planning

•  GIST 601B: Remote Sensing

Must take either INFO 514 Computational Social Science (3 credits) OR PA 572 Digital Research in Politics and Policy (3 credits)

Please refer to the Graduate Student Handbook for students who are pursuing this program of study.