Online Education for Working Professionals
Model natural and engineered hydraulic and hydrologic systems.

Water Resources Modeling—Graduate Certificate

Water Resources Modeling

Manage large datasets and develop hydrodynamic models.

Gain in-depth modeling experience using real-world case studies in hydrologic, hydraulic, and 2D hydrodynamic systems. If your background is in one of the physical sciences, geosciences, computational sciences, or engineering, you can boost your skill set in this data-driven world. Learn to analyze and manage large datasets. Develop digital systems for monitoring, control, and real-time decision support.

3 courses in 3 semesters.

Department Civil, Environmental, and Geospatial Engineering
Admissions requirement BS in engineering or physical or computational science with appropriate prerequisites.
Contact Angela Keranen
Length 3 courses in 2-3 semesters
Effort 3 hours per credit per week
Each course 3 credits
Total credits 9
Course type Online or on-campus
Modality Attend classes synchronously
Watch class recordings on demand
Cost Based on credits and course type
Already enrolled? Speak with your advisor.

Apply

Progress quickly with a compact curriculum.

Work with the program advisor to select courses that fit your interests and prerequisite skills.

Check your preparation.

Here are some of the pre-requisite courses for this certificate.

CEE 3620 - Water Resources Engineering

Introduction to hydrologic engineering, including rainfall-runoff modeling and hydrologic frequency analysis. Analysis and design of hydraulic systems such as pipe networks and storm water management systems. Computational, field, and experimental laboratory sessions reinforce lectures and provide hands-on learning opportunities.

  • Credits: 4.0
  • Lec-Rec-Lab: (3-0-2)
  • Semesters Offered: Fall, Spring, Summer
  • Restrictions: May not be enrolled in one of the following Class(es): Freshman
  • Pre-Requisite(s): ENG 3200 and (MA 3710(C) or CEE 3502(C) or CEE 3710(C))

CEE 4505 - Surface Water Quality Engineering

Develops the scientific basis for water quality management in lakes and rivers. Considers the origin, behavior, and fate of nutrients and toxic substances. Introduces engineered approaches for lake management, including mass balance modeling. Presents techniques for water quality restoration and the legal framework supporting pollution control.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-2-3)
  • Semesters Offered: Fall
  • Pre-Requisite(s): CEE 3501 or CEE 3503

BL 4450 - Limnology

The study of biological, physical, and chemical processes of freshwater eco systems using a watershed perspective, with emphasis on lakes.

  • Credits: 3.0
  • Lec-Rec-Lab: (2-0-3)
  • Semesters Offered: Spring - Offered alternate years beginning with the 2022-2023 academic year
  • Restrictions: May not be enrolled in one of the following Class(es): Freshman, Sophomore

MA 3520 - Elementary Differential Equations

First order equations, linear equations, and systems of equations.

  • Credits: 2.0
  • Lec-Rec-Lab: (0-2-0)
  • Semesters Offered: Fall, Spring, Summer
  • Restrictions: May not be enrolled in one of the following Major(s): Mathematics, Computer Science
  • Pre-Requisite(s): MA 2160 and (MA 2320 or MA 2321 or MA 2330)

MA 3521 - Elementary Differential Equations

Offered second half of semester, to be taken concurrently with MA2321. Topics include first order equations, linear equations and systems of equations.

  • Credits: 2.0
  • Lec-Rec-Lab: (0-4-0)
  • Semesters Offered: Fall, Spring
  • Restrictions: May not be enrolled in one of the following Major(s): Mathematics, Computer Science
  • Co-Requisite(s): MA 2321
  • Pre-Requisite(s): MA 2160

MA 3530 - Introduction to Differential Equations

First order equations, linear equations, systems of equations, and Laplace transforms. May include elementary separation of variables for partial differential equations.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-3-0)
  • Semesters Offered: Fall, Spring
  • Pre-Requisite(s): MA 2160 and (MA 2320 or MA 2321 or MA 2330)

MA 3560 - Mathematical Modeling with Differential Equations

Creating differential equation models for physical problems such as population dynamics, kinetics, mass-spring systems. Topics include nondimensionalization, numerical methods, phase-plane analysis, first-order systems, linearization, and stability. Includes modeling case studies, using a computer algebra system, and a modeling project.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-3-0)
  • Semesters Offered: Spring
  • Pre-Requisite(s): MA 2160 and (MA 2320 or MA 2321 or MA 2330)

Take 9 credits of elective courses.

CEE 4620 - River and Floodplain Hydraulics

Analysis of open channel systems, including natural channels, designed channels, flow transitions, non-uniform flow, and unsteady flow.

  • Credits: 3.0
  • Lec-Rec-Lab: (3-0-0)
  • Semesters Offered: Fall
  • Pre-Requisite(s): CEE 3620

CEE 5610 - Water Resources System Modeling & Design

Solve complicated, open-ended real-world water resources problems in natural and built systems by developing and executing models using state of the practice technologies. Includes programming to manage large datasets and validation or calibration and optimization of models for design.

  • Credits: 3.0
  • Lec-Rec-Lab: (2-1-0)
  • Semesters Offered: Spring
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate
  • Pre-Requisite(s): CEE 3620 or CEE 3650

CEE 5504 - Water Quality Modeling in Natural Systems

Application of mathematical modeling to water quality management. Models are developed to simulate natural phenomena, mass transport, and reaction kinetics in lake and river ecosystems. Students will construct simple models and be introduced to state of the art modeling tools.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-2-3)
  • Semesters Offered: Spring
  • Pre-Requisite(s): CEE 4505 or BL 4450

CEE 5520 - Introduction to Hydrodynamic Modeling

Introduce fundamental concept and numerical methods used in hydrodynamic modeling, physical process in the hydrodynamic system and their numerical representation using governing equations. Students construct simplified numerical models with application to problems of coastal oceans and large lakes, as well as engineering systems of interest to environmental and other engineers.

  • Credits: 3.0
  • Lec-Rec-Lab: (3-0-0)
  • Semesters Offered: Spring
  • Restrictions: May not be enrolled in one of the following Class(es): Freshman, Sophomore, Junior
  • Pre-Requisite(s): MA 3520 or MA 3521 or MA 3530 or MA 3560

GE 5850 - Advanced Groundwater Engineering and Remediation

Computer modeling and other advanced topics in the analysis hydrological systems, contaminant transport and fate, and subsurface remediation systems.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-2-3)
  • Semesters Offered: On Demand
  • Restrictions: Must be enrolled in one of the following Class(es): Graduate

The minimum completion time is one semester.

Here is a typical schedule for a two semester option.

Fall Spring
CEE 4620 CEE 5610
CEE 5504

Interested in taking a single, online course? Enroll as a non-degree seeking student.

Upon completion of the certificate, students will be able to:

Apply the fundamentals of modeling using data including limitations in water resources engineering design and analysis.

Michigan Tech was founded in 1885.

The University is accredited by the Higher Learning Commission and widely respected by fast-paced industries, including automotive development, infrastructure, manufacturing, and aerospace. Michigan Tech graduates deliver on rapid innovation and front-line research, leaning into any challenge with confidence.

The College of Engineering fosters excellence in education and research.

We set out as the Michigan Mining School in 1885 to train mining engineers to better operate copper mines. Today, more than 60 percent of Michigan Tech students are enrolled in our 17 undergraduate and 29 graduate engineering programs across nine departments. Our students and curriculum embrace the spirit of hard work and fortitude our founders once had. Our online graduate courses are the same, robust classes taken by our doctorate and masters candidates, taught directly by highly regarded faculty, with outstanding support from staff. We invite working professionals to join these courses, bring their own experience and challenges as part of the discussion. Leverage the national reputation of Michigan Tech to advance your career in tech leadership.

Meet the online certified instructors.

Synchronous class attendance allows students to interact with world-class instructors. Students have the flexibility to review class recordings later.

Brian Barkdoll, PE Read Full Bio

Contact

Brian Barkdoll, PE

  • Professor, Civil, Environmental, and Geospatial Engineering
  • PhD, Civil Engineering, University of Iowa
  • MS, Environmental Engineering, University of Cincinnati
  • BS, Civil Engineering, University of Akron

Biography

Dr. Barkdoll has degrees from the Universities, of Akron, Cincinnati and Iowa. He has spent 4 years as an engineer for the U.S. Peace Corps in Nepal. Dr. Barkdoll's teaching interests include fluid mechanics, hydraulics, hydrology, sediment transport, contaminant transport, and water collection and distribution. His research interests are in sedimentation, scour, oxygen transfer, clay permeability, vortices, acoustics, stream restoration, dams and reservoirs, intakes, water distribution systems, international development, and environmental sustainability.

Dr. Barkdoll is a member of the ASCE Sedimentation Committee and the Environmental Hydraulics Committee. He has won the Daniel W. Mead Award for Younger Members of the American Society of Civil Engineers and the Chi Epsilon James M. Robbins Excellence-in-Teaching Award for the S.W. District. He has published over 35 technical papers and given over 25 seminars at international conferences.

Dr. . . .

John Gierke, PE Read Full Bio

Contact

John Gierke, PE

  • Professor, Geological and Mining Engineering and Sciences
  • Affiliated Professor, Civil and Environmental Engineering
  • PhD, Michigan Technological University
  • MS, Michigan Technological University
  • BS, Michigan Technological University

Biography

My approach to learning is not to rely only on the transfer of knowledge through lectures, reading, and rote practice. I place greater importance on providing opportunities for students in both classroom and research settings to develop their own problem-solving skills by attempting to solve problems independently. The best opportunities are those where the problem is new, requires synthesizing many technical aspects, and may also require the student to learn a brand new technical skill for some aspects.

Cory McDonald Read Full Bio

Contact

Cory McDonald

  • Assistant Professor, Civil, Environmental, and Geospatial Engineering
  • PhD, Environmental Engineering, Michigan Technological University
  • MS, Environmental Engineering, Michigan Technological University
  • BS, Civil Engineering, Michigan State University

Biography

David Watkins, PE Read Full Bio

Contact

David Watkins, PE

  • Distinguished Professor, Civil, Environmental, and Geospatial Engineering
  • PhD, Civil Engineering, The University of Texas at Austin
  • MS, Environmental Health Engineering, The University of Texas at Austin
  • BS, Civil Engineering, Washington University in St. Louis
  • BS, Engineering and Public Policy, Washington University in St. Louis

Biography

Dr. Watkins' teaching interests include hydrologic and hydraulic engineering, water and environmental systems analysis, and international service learning.  He serves as a faculty advisor to the Michigan Tech student chapter of Engineers Without Borders-USA and directs an international capstone design program in Panama.  Dr. Watkins’ research interests include sustainable development and the application of decision theory and information technology to environmental and water resources problems in both the developing and industrialized world.  His current research projects include analyzing the drivers and environmental impacts of household food, energy, and water consumption; investigating household behavioral changes and food insecurity associated with the COVID-19 crisis; assess the social, technical, and economic viability of using abandoned mines for pumped energy storage; and providing technical support for climate adaptation by agricultural communities in El Salvador.  Dr. Watkins is active in the ASCE/EWRI Environmental & Water Resources Systems and River Basin, Planning, Policy & . . .

Melanie Watkins, PE Read Full Bio

Contact

Melanie Watkins, PE

  • Research Assistant Professor, Civil, Environmental, and Geospatial Engineering
  • PhD, Civil Engineering, Michigan Technological University
  • MS, Project Management/Civil Engineering, Northwestern University
  • BS, Civil Engineering, Michigan Technological University

Biography

Veronica Webster, PE Read Full Bio

Contact

Veronica Webster, PE

  • Associate Professor, Water Resources Engineering
  • PhD, Civil Engineering, Cornell University
  • MS, Civil Engineering, Cornell University
  • BS, Civil Engineering, University of Vermont

Biography

Dr. Veronica Webster is currently an associate professor of Civil, Environmental, and Geospatial Engineering. Her teaching interests include probability and statistics, stochastic hydrology, numerical methods, water resources, and risk analysis and management. Her research interests include flood frequency analysis and the evaluation of other extreme events, uncertainty analysis, and impacts of climate variability, climate change, and land use changes on the magnitude, frequency, and timing of flood flows. Dr. Webster is a recent recipient of the National Science Foundation CAREER award. She has a BS in Civil Engineering from the University of Vermont, and both MS and PhD degrees in Civil Engineering from Cornell University. Dr. Webster is currently active in the organization of the annual ASCE Environmental Water Resources Institute Congress, chair of the ASCE task committee on Statistical Applications in Hydrology, and associate editor of the ASCE Journal of Hydrologic Engineering.

Pengfei Xue Read Full Bio

Contact

Pengfei Xue

  • Associate Professor, Civil, Environmental, and Geospatial Engineering
  • Director, Numerical Geophysical Fluid Dynamics Laboratory, Great Lakes Research Center
  • PhD, University of Massachusetts Intercampus Marine Science Graduate Program
  • BS, Mathematics and Applied Mathematics, East China Normal University

Biography

Dr. Xue's research is centered around the development and application of numerical models to hydrodynamic, climate, and environmental problems in the Great Lakes and coastal oceans.  His current research focuses on an integrated regional earth system model (IRESM) for the Great Lakes region, consisting of coupled atmosphere, lake, ice, wave, sediment, land surface, biological components with the inclusion of data assimilation and machine learning techniques. By applying the IRESM to simulate and analyze regional processes across a range of spatiotemporal scales, Dr. Xue and his team, in collaboration with a wide range of scientists and experts,  try to understand and predict how the Great Lakes system responds to long- and short-term natural and anthropogenic disturbances, such as climate variability, extreme events, and coastal hazards, and other lake biophysical processes. Dr. Xue’s research has been supported by NOAA, NASA, USGS, EPA, DOE, State of Michigan, and other funding sources. . . .