Studyportals
M.Sc. On Campus

Civil and Environmental Engineering (Computational Mechanics and Scientific Computing track)

24 months
Duration
60220 USD/year
60220 USD/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Duke University's Master of Science (MS) in Civil and Environmental Engineering (Computational Mechanics and Scientific Computing track) programme provides a solid foundation of rigorous training and research experience to propel your career, focused on discovery and engineering of improved materials, processes, phenomena and devices.

Overview

Computational mechanics encompasses the development and use of computational methods for studying problems governed by the laws of mechanics. Modern computational mechanics is embodied in the broad field of computational science and engineering.

This discipline plays a fundamental role in a vast number of many important problems in science and engineering. Duke University has unique facilities and world-renowned faculty in this area.

Students of this Master of Science in Civil and Environmental Engineering (Computational Mechanics and Scientific Computing track) programme receive premier training in the core disciplines of applied mathematics, numerical methods, computer science, and mechanics.

Master's Career Outcomes

A master's degree from Duke University open opportunities for success.

Most graduates of our master's programs have gone on to careers at leading engineering, construction, consulting and technology firms, while others have pursued further study at leading academic institutions.

At Duke University, you become part of a close-knit community of faculty who are tackling the tricky, messy problems that don't fit neatly inside traditional disciplines. Our research, teaching, and hallway discussions focus on pushing the boundaries.

Programme Structure

Courses include:

  • Basic Analysis
  • Applied Stochastic Processes
  • Applied Partial Differential Equations and Complex Variables
  • Scientific Computing
  • Functional Analysis
  • Mathematical Analysis of the Finite Element Method
  • Finite Element Methods for Problems in Fluid Mechanics
  • Nonlinear Finite Element Method
  • Data Structures and Algorithms
  • Software Design
  • Programming, Data Structues, and Algorithms in C++
  • Continuum Mechanics
  • Thermodynamics
  • Computational Materials Science
  • Intermediate Fluid Dynamics
  • Advanced Fluid Dynamics
  • Numerical Optimization

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Credits

36 SCH

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

Other requirements

General requirements

  • Bachelor's degree in engineering or science from an accredited institution (transcripts required, including an estimated GPA and a grade scale)
  • Statement of Purpose
  • Resume
  • Three recommendations
  • Graduate Record Exam (GRE) or equivalent—official results
  • English Language Testing (TOEFL or IELTS)—official results 
  • Interview and/or a video introduction
  • Nonrefundable application fee of US$75— paid by credit card, or by a check made payable to Duke University

Tuition Fee

To alway see correct tuition fees
  • International

    60220 USD/year
    Tuition Fee
    Based on the tuition of 30110 USD per semester during 24 months.
  • National

    60220 USD/year
    Tuition Fee
    Based on the tuition of 30110 USD per semester during 24 months.

Living costs for Durham

990 - 1670 USD /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Civil and Environmental Engineering (Computational Mechanics and Scientific Computing track)
-
Duke University

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