Field of Study: Applied Data Science

Satellite view of networks

This problem-focused field of study:

  • Emphasizes data-driven discovery, design, and decision-making for civil and environmental engineering and health applications
  • Teaches students how to manage and analyze data using a variety of statistical, computing, and GIS programs
  • Provides students with domain-specific expertise in infrastructure and natural hazards, environmental health and technologies, water diplomacy, or other domains of interest
  • Demonstrates how theory and practice are used to solve real-world issues through a year-old colloquium series

Requirements:

A full-time student can complete this option (MS-non-thesis) in one year. 30 SHUs are required.

  1. Core classes (2 courses – 6 SHUs)

    CEE201 (fall) Applied Probability Theory

    CEE202 (fall) Data Analysis and Statistical Methods

    CEE203 (spring) Statistical Inferences and Prediction

    CEE204 (spring) Hypothesis Testing and Uncertainty Analysis

  2. Data Driven Decision Making (1 SHU)

    CEE209 (fall & spring) Problem Focused Immersion for Making Data Driven Decisions

    CEE292 (fall & spring) Graduate Seminar Series - Students attend a year-long seminar series that demonstrates how data analytics are used in real-world applications.

  3. Applied Data Science Tools, Techniques, and Methods (9 SHUs)

    Machine Learning: CEE132 Data Science for Sustainability or CS135 Intro to Machine Learning and Data Mining

    Optimization and Uncertainty Quantification: CEE214 Water Systems or CEE227 Structural Reliability or CEE293 Model Verification and Validation or UEP238 Data Science for Urban Sustainability or MATH190 Uncertainty Quantification

    Spatial Analysis: CEE187 Geographic Information Systems or UEP232 Introduction to Geographic Information Systems or UEP236 Spatial Statistics or UEP239 Geospatial Programming with Python

    Other courses can be considered with advisor approval.

  4. Domain-specific classes (12 SHUs) - Students obtain knowledge by taking classes in a chosen domain—infrastructure and natural hazards, environmental health and technology, water diplomacy, or in an area of the student's choosing—and learn how data are used to address key issues in these areas.

Note that full-time students may choose to complete a thesis as part of their degree program, in which case the program may take 1.5 to 2 years to complete, and thesis research (6 SHUs) may replace the equivalent number of course credits.

Faculty: Laurie Baise, Shafik Islam, Jonathan Lamontagne, Babak Moaveni, Helen Suh, Deborah Sunter