Heriot-Watt University

Computational Mathematics MSc/Diploma

Heriot-Watt University
In Currie

Price on request
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Important information

Typology Postgraduate
Location Currie (Scotland)
Start Different dates available
  • Postgraduate
  • Currie (Scotland)
  • Start:
    Different dates available
Description

Home Postgraduate study Mathematics Computational MathematicsComputational Mathematics MSc/DiplomaHow to apply »DeliveryFull-time, Part-time, Per courseProgramme typeTaughtStudy locationEdinburghEntry dateSeptemberOverviewProgramme contentEntry requirementsFees & scholarships MACS postgraduate scholarships 3 scholarships of £3,000 will be awarded to outstanding overseas applicants to any of our Mathematics MSc programmes. 1 scholarship of £1,000 will be awarded to an outstanding Home/EU applicant to any of our Mathematics MSc programmes. Find out more. OverviewAccurate and efficient scientific computations lie at the heart of most cross-discipline collaborations. It is vital that such computations are performed in a stable, efficient manner and that the numerics converge to the true solutions of the dynamics of the physics, chemistry or biology in the problem.



The programme closely follows the structure of our MSc in Applied Mathematical Sciences and is designed to equip students with the skill to perform efficient and accurate computer simulations in a wide variety of applied mathematics, physics, chemical and industry related problems. Students will undertake research projects with a strong computational element. Examples include subjects such as Spectral Pollution, Domain Decomposition, Contamination of Groundwater, Oil Reservoir Simulation, Computational Neuroscience and Uncertainty Estimation and other cutting-edge topics. Learn more about our Computational Mathematics MSc directly from Professor Dugald Duncan video. Duration MSc - One year Diploma - 9 months Also available part-time over 2 to 3 yearsProgramme content Students will take a total of 8 courses, 4 in each of the 1st and 2nd Semesters followed by a 3-month Project in the summer. A typical distribution for this programme is as follows: Core...

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Where and when

Location

Starts

Currie (Midlothian/Edinburghshire)
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Edinburgh Campus, Riccarton, EH14 4AS

Starts

Different dates availableNow taking bookings

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What you'll learn on the course

GCSE Mathematics
Mathematics
GCSE Physics
Part Time
Applied Mathematical
Simulation
Contamination
Physics Chemistry
Chemical Industry
Industry
Biology
Professor Training
IT
Algorithms
Maths
Computational
Electromagnetism
IT Development
Media
Neuroscience
Finance
Meteorology
Algebra

Course programme

MACS postgraduate scholarships

3 scholarships of £3,000 will be awarded to outstanding overseas applicants to any of our Mathematics MSc programmes. 1 scholarship of £1,000 will be awarded to an outstanding Home/EU applicant to any of our Mathematics MSc programmes. Find out more.

Overview

Accurate and efficient scientific computations lie at the heart of most cross-discipline collaborations. It is vital that such computations are performed in a stable, efficient manner and that the numerics converge to the true solutions of the dynamics of the physics, chemistry or biology in the problem.

The programme closely follows the structure of our MSc in Applied Mathematical Sciences and is designed to equip students with the skill to perform efficient and accurate computer simulations in a wide variety of applied mathematics, physics, chemical and industry related problems.

Students will undertake research projects with a strong computational element. Examples include subjects such as Spectral Pollution, Domain Decomposition, Contamination of Groundwater, Oil Reservoir Simulation, Computational Neuroscience and Uncertainty Estimation and other cutting-edge topics.

Learn more about our Computational Mathematics MSc directly from Professor Dugald Duncan video.

Duration
  • MSc - One year
  • Diploma - 9 months

Also available part-time over 2 to 3 years

Additional information

Programme content Students will take a total of 8 courses, 4 in each of the 1st and 2nd Semesters followed by a 3-month Project in the summer. A typical distribution for this programme is as follows: Core courses:Modelling and Tools;Stochastic Simulation;Applied Linear Algebra;Numerical Analysis;Optional Courses: Dynamical Systems; Optimization;Partial Differential Equations;Numerical Analysis of ODEs;Applied Mathematics;Statistical Methods;Functional Analysis;Software Engineering Foundations;Mathematical Biology and Medicine;Biologically Inspired...

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