MS in Data Science -
Dependent Data Analysis

A 30-credit data science master’s degree focused on modeling and forecasting beyond independent data to address the needs of government and industry.

The University of Connecticut’s (UConn) Master’s (MS) in Data Science - Dependent Data Analysis concentration focuses on statistical methods used for analyzing clustered, time series, spatial, or spatio-temporal data. All widely encountered methods used within a number of applications. This concentration deepens and broadens expertise beyond the integrated 18 credits of the core curriculum with three courses (9 credits) of specific statistics (STAT) courses and an aligned 3 credit-hour applied-statistics-focused capstone project. The capstone experience provides graduates with an in-depth understanding of how to apply data science knowledge and techniques to dependent data analysis in domains such as business, economics, engineering, environmental sciences, finance, geosciences, and public health. The MS DS Dependent Data Analysis concentration is a 30-credit on-campus (Storrs Campus) graduate degree. 

Gain working knowledge of clustered, spatial, and time-series data analytics with your MS in Data Science.

With applied and hands-on courses in clustered, time series, spatial, and spatio-temporal data analysis, this concentration fuses the core competencies of data analytics with technical skills. This concentration is widely applicable for those working with complex datasets, regardless of field. A primary goal of the concentration is to develop versatile practitioners capable of modeling and forecasting.

Graduates are trained for data science careers lending themselves to government entities, such as the Bureau of Labor Statistics (BLS), US Census Bureau, Environmental Protection Agency (EPA), as well as, within in industry sectors such as banking, the environment, finance, healthcare, insurance and marketing.

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

  • BIST 5815 Longitudinal Data Analysis  (3 credits)
  • STAT 5825 Applied Time Series   (3 credits)
  • STAT 5845 Applied Spatio-Temporal Statistics  (3 credits)

Capstone Project

  • STAT 5915 Statistical Data Science in Action (3 credits)

Department Contact

Nalini Ravishanker
nalini.ravishanker@uconn.edu

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Application Deadline

Fall 2023: June 1, 2023 at 11:59 PM EDT.

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.