MS in Data Science -
Social and Behavioral Analysis

A comprehensive advanced quantitative social science data science master’s degree concentration focused on the analysis of human behavior data.

The University of Connecticut’s (UConn) Master’s (MS) in Data Science - Social & Behavioral Analysis concentration is a 30-credit on-campus (Storrs Campus) graduate degree focused on data science methods used within human behavior-related fields. Consisting of 18 credits of UConn data science core courses paired with 9 credits of quantitative social science-specific courses within the field of Educational Psychology (EPSY), the program culminates with a 3-credit capstone project. The capstone experience provides graduates an in-depth understanding of how to apply data science knowledge and techniques to social science-related fields.

Learn to quantitatively analyze human behavior and social dynamics within a data science master’s degree.

By combining data science techniques with social science models of behavior, students will learn how to transform data into novel insights that can be used to improve governance, education, social services, and customer satisfaction. This concentration covers automated text analysis, modeling social phenomenon, and estimating the effects of programs within complex social structures paired with an underlying theme of ethical conduct and research technique.

A focus on quantitative, educational, and computational data and social science methodology.

Humans produce massive amounts of unstructured text data, and the extraction of information and patterns from that data provides key insights that can’t be found outside of noisy, natural language. Within this quantitative social science data science master’s concentration, we will cover important topics in social and behavioral systems analytics including text classification, text categorization and clustering, sentiment analysis, and probabilistic topic models. Further, we’ll dig deep into structural equations and hierarchical linear modeling. Significant discussion will be devoted to topics such as privacy, data integrity, and the process of identifying the appropriate texts to address analytic questions and models. 

Graduates are well prepared for employment in data science careers in both the public and private sectors, including, education, psychology and treatment, large Internet shopping enterprises, search engine and social media companies, judicial and corrections spheres of practice.

Core Courses

  • STAT 5405 Applied Statistics for Data Science (3 credits)
  • STAT 5125 Statistical Computing for Data Science (3 credits)
  • CSE 5819 Introduction to Machine Learning (3 credits)
  • CSE 5713 Data Mining and Management (3 credits)
  • OPIM 5501 Data Visualization and Communication (2 credits)
  • EPSY 5641 Research Design and Measurement for Data Science (2 credits)
  • ARE 5353  Data Ethics and Equity (2 credits)

Specialty Courses

  • EPSY 6615 Structural Equation Modeling (3 credits)
  • EPSY 6611 Hierarchical Linear Modeling (3 credits)
  • EPSY ____ Introduction to Text Analysis (3 credits)

Capstone Project

  • GRAD 5800 Applied Capstone in Data Science (3 credits)

Department Contact

Betsy McCoach
betsy.mccoach@uconn.edu

Kylie Anglin
kylie.anglin@uconn.edu

+18%
Overall job growth - 10 years


$65k
Median Salary

25% Earn more than
$70k


+6,500
healthcare and social service top industry jobs


Labor Insight:  Source: Burning Glass Technologies. Labor Insight™. 2021.

Application Deadline

Fall 2022: July 15, 2022 at 11:59 PM EDT.

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UConn’s Master’s in Data Science is an 11-month cohort based full-time in-person program and is eligible for F-1 and J-1 visa sponsorship. Courses are offered on the University of Connecticut’s Storrs, CT USA Campus. This program is eligible for the STEM OPT extension that affords certain F-1 graduate students an opportunity to apply for a 24-month extension of their post-completion optional practical training (OPT). The program does not offer graduate assistantships and scholarships at this time.