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Computational Social Science Minor

This minor introduces and develops the essential skills for employing mathematical, formal, and computational methods in the social sciences. Students completing this minor will have a grasp of the fundamentals necessary for pursuing more in depth studies in the emerging fields of computational social science and big data. The foundational courses emphasize skills in Probability, Statistics, and Introductory Programming. Other courses focus on the application of formal and computational methods in the social sciences including digital analysis of texts, maps and networks. An additional elective provides breadth in social scientific studies of computation or the foundational principles of logic and computation.

20 credit hours (5 courses)

Foundational Courses (2 courses): These establish the fundamental skills necessary for statistical and computational approaches in the social sciences.

INSH 2104 Statistics in the Social and Political World OR MATH 2280, ECON 2350, CRIM 3700, SOCL 2320, POLS 2400, PSYC 2320

INSH 1500 Digital Methods for Social Sciences and Humanities* OR CS 2500 Fundamentals of Computer Science

Applications of Computational Approaches in the Social Science (choose 2): Each of these courses involves application of formal and computational skills to a specific topic within the social sciences.

INSH 2102 Bostonography
COMM 2105 Social Networks
PHIL 2001 Ethics and Evolutionary Games
SOCL xxxx Computational Text Analysis (course in development)
POLS 3310 The U.S. Congress
CRIM 4800 Crime Mapping
HIST 4620 Topics in Historical Geography
PPUA 5262 Big Data for Cities
DS 4100 Data Collection, Integration and Analysis OR DS 4200, 4300, 4400, 4410
MISM 2301 Introduction to Management Information Systems OR MISM 2501, MISM 2510, MISM 3510
*Students may complete a capstone project under the direction of a faculty member in lieu of an application course.

Elective in Social Inquiry, Computation and Logic (choose 1): This elective adds breadth to the minor by introducing students to social scientific studies of computation and the digital age or to foundational principles of probability, logic, and computation.

ANTH 3418 Wired/Unwired: Cybercultures and Technopolitics
SOCL 4528 Computers and Society
SOCL xxxx Law in the Information Age (in development)
SOCL xxxx Digitization and Robotics (in development)
ECON 4681 Information Economics and Game Theory
CS 2800 Logic and Computation
IS 2000 Principles of Information Science
PHIL 1115 Introduction to Logic OR MATH 1215 Mathematical Thinking
PHIL 4515 Advanced Logic
MATH 3081 Probability and Statistics

*INSH 1500 Digital Methods for Social Sciences and Humanities

Introduces programming skills and computational methods through application to topics in the social sciences and humanities. Methods include computational text analysis, network analysis, mapping software and analysis, computational approaches to data, big data, and/or social simulation. Students develop an understanding of the use and significance of computational tools for social sciences and humanities. No previous programming experience required.
NUpath: Analyzing and Using Data and Natural and Designed World