M.Eng Computational Mechanics and Scientific Computing at Duke University [DUKE UNI], Durham Fees, Entry Requirement & Application Deadline

Master of Engineering [M.Eng] [Computational Mechanics and Scientific Computing] From Duke University

Durham, North CarolinaLocation
UniversitySchool type
Estd1838established year
16130enrollment
Private (Not for Profit)
8.3/10

Master of Engineering [M.Eng] (Computational Mechanics and Scientific Computing)

1 year
Full Time
On Campus

$65,981 /Yr


Tuition Fees

Year1st Year Fees
Tuition Fees$65981

Other Expenses

HeadAvg Cost Per Year
Housing$10404
Board$3330
Health service fee is 974

Previous Year Tuition Fees

Year1st Year Fees
2023$62620
2022$60220
2021$28950

Important Dates

Reply by April 15.
EventApplication Date
Round 1 Application Deadline For 2025 Intake Jan 15, 2025
Round 2 Application Deadline For 2025 Intake Mar 15, 2025
Round 1 Decision Notification Deadline Mar 15, 2025
Round 2 Decision Notification Deadline Apr 15, 2025
  • The MEng in Computational Mechanics and Scientific Computing program at Duke University is a duration of 1-1.5 years.
  • This program is offered on a full-time basis.
  • The program consists of :
    • 30-course credits
    • 1 Seminar
    • Internship
  • Some of the main topics students learn through this program are :
    • Management of High Tech Industries
    • Business Fundamentals for Engineers 
    • Introduction to the Finite Element Method
    • Applied Stochastic Processes
    • Parallel Computing
    • Structural Dynamics
  • The student-faculty ratio of this college is 8:1.
  • The program is ideal for students who want to pursue careers in :
    • Biomedical device design
    • Automotive simulations/crashworthiness
    • Noise reduction in vehicles; mobile device design and vibration analysis
    • Infrastructure design and analysis
    • Additive manufacturing
    • Industrial product design
  • The Graduation rate of Duke University is 95%
  • Students completing the program will be well-prepared to continue on in Ph.D programs in computational science and engineering. 
  • The acceptance rate of Duke University is 9%.
  • Duke University is ranked #42 in QS Global World Rankings 2021.

Eligibility & Entry Requirement

Academic Eligibility: 

  • Students must have a  bachelor's degree in engineering or science from an accredited institution to get admission in this program.
  • Students required an average grade of 3.4.

Language Requirments:

  • Students whose official language is not English are required to submit IELTS or TOEFL scores. 

Scores Required

7 / 9

Avg. Score in

IELTS

90 / 120

Avg. Score in

TOEFL

125 / 160

Avg. Score in

Duolingo


Required Document List

The following Documents are required to attend this program:

  • Statement of Purpose: An essay or other written statement written by the student.
  • Resume/CV: Outline of academic achievements and/or awards, publications, relevant work, and/or volunteer experience.
  • Academic Documents: Submit copies of official transcripts from post-secondary institutions attended.
  • Sample of written work: Student has to write something interesting as their sample essay in the application form.
  • Three confidential letters of recommendation: Referees (Teachers, guidance counselors, or Professors) should comment on academics, and that references should submit along with the application system.
  • Tests Score statement: Students have to submit their English language proficiency scores like  IELTSTOEFL.

Ranking

2025202420232022202120202019

Times Higher Education logo
Engineering 63 out of 1250 in Global Ranking
( #24 out of 145 in USA 2025)

QS World University logo
Engineering 135 out of 550 in Global Ranking
( #28 out of 73 in USA 2025)

US News logo
Engineering 20 out of 198 in Global Ranking
( #18 out of 159 in USA 2025)

Do you think the Rankings are wrong ?  Report Here


Career and Placement after Course

After this program, students have career opportunities in :

  • Biomedical device design
  • Automotive simulations/crashworthiness
  • Noise reduction in vehicles; mobile device design and vibration analysis
  • Infrastructure design and analysis
  • Additive manufacturing


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