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Graduate Program



M.S. in Civil and Environmental Engineering

Field of Study: Applied Data Science

The next generation of civil and environmental engineering and health professionals will face many grand challenges that occur at the intersection of natural resources and human systems, with competing and often conflicting demands for air, water, food, energy, infrastructure, and health. To address these challenges, engineering and health professionals will need not only a deep knowledge base but also the ability to analyze data to find innovative and efficient ways to address societal problems within a real-world context.

To meet these needs, our one-year M.S. with a specialty in the field of applied data science will prepare students to understand, manage, and analyze data and to use data to make discoveries that can inform policies and make for more efficient decisions, all within the context of civil engineering, environmental engineering, and environmental health applications. Students can choose between one of three domains: infrastructure and natural hazards, environmental health and technology, and water diplomacy, or can design their own area of focus.

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. Ten credits are required: 2 core classes (2 credits), 4 modular tool-based training elements (2 credits), 4 classes in a research domain (4 credits), a seminar (1 credit), and a capstone project (1 credit).

  1. Core classes (2 credits) - In the core classes, students learn data analysis theory and methods.
  2. Analytical toolkit (2 credits) - The toolkit trains students in key statistical and computer programs, GIS methods, and data processing and management.
  3. Domain-specific classes (4 credits) - 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.
  4. Design experience/internship (1 credit) - Students obtain hands-on experience applying data analytics and tools to address a question or topic of their choosing.
  5. Seminar series (1 credit) - Students attend a year-long seminar series that demonstrates how data analytics are used in real-world applications.

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 (2 course credits) may replace the equivalent number of course credits in domain-specific courses.

Faculty:

Laurie Gaskins Baise
Geosystems Engineering, Earthquake Engineering, Seismic Mapping

Steven Chapra
Water Quality Modeling, Numerical Methods, Advanced Computer Applications in Environmental Engineering

Wayne Chudyk
Drinking Water Quality and Toxic Materials, Groundwater Monitoring

David M. Gute
Environmental and Occupational Epidemiology, Environmental Health and Safety

Shafiqul Islam
Water Diplomacy, Hydroclimatology, Hydroepidemiology, Remote Sensing, Climate Change

Daniel A. Kuchma
Design, Behavior, and Modeling of Concrete Structures

Jonathan Lamontagne
Water Resources, Decision-Making Under Uncertainty, Hydrologic Statistics, Integrated Global Change Assessment

Daniele Lantagne
Water Treatment, Developing Countries, Water Quality

Babak Moaveni
Structural Health Monitoring, System and Damage Identification of Civil Structures, Experimental Modal Analysis, Signal Processing, Uncertainty Quantification

Amy Pickering
Water Quality, Sanitation, Developing Countries, Climate, Child Health

Masoud Sanayei
Structural Engineering, Health Monitoring of Bridges, Nondestructive Testing, Structural Dynamics, Floor Vibrations for Human Comfort and Sensitive Equipment

Helen Suh
Environmental Epidemiology, Air Pollution Measurements and Modeling, Exposure Assessment

Mark A. Woodin
Epidemiologic Methods

How to apply:

Apply now for the M.S. in Civil and Environmental Engineering.

Please also review our Admissions Information, and reach out to Laura Sacco, our CEE graduate program coordinator, with any questions.