Master of Science Applied Mathematics


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Course Overview

The Applied Mathematics group offers the MSc in Applied Mathematics as an entry point to graduate study. The MSc has two pathways, reflecting the existing strengths within the group in numerical analysis and in industrial mathematics. The MSc consists of five core modules, covering the main areas of mathematical techniques, modelling and computing skills necessary to become a modern applied mathematician. Download Course Catalog.

Program Structure:

Course Code First Semester Courses Credit
MA 601 Numerical Optimization and Inverse Problems 5
MA 602 Approximation Theory and Finite Element Analysis 5
MA 603 Linear Algebra or MA 523 Matrix Theory 5
MA 604 Numerical Linear Algebra (NA) 5
MA 605 Numerical Analysis 5
MA 606 Linear Programming 5
TOTAL CREDITS 30
Course Code Second Semester Courses Credit
MA 611 Control 5
MA 612 Ordinary Differential Equations 5
MA 613 Partial Differential Equations 5
MA 614 Probability 5
MA 615 Matrix Theory or MA 520 Linear Algebra 5
MA 616 Introduction to Uncertainty Quantification 5
TOTAL CREDITS 30
Course Code Third Semester Courses Credit
MA 601 Introduction to Mathematical Statistics 5
MA 602 Mathematical Methods 5
MA 603 Partial Differential Equations 5
MA 604 Scientific Computing 5
MA 605 Transferable Skills for Applied Mathematicians 5
MA 606 Applied Dynamical Systems 5
TOTAL CREDITS 30
Course Code Fourth Semester Courses Credit
MA 611 Continuum Mechanics 4
MA 612 Stability theory 4
MA 613 Transport Phenomena and Conservation Laws 4
MA 614 Advanced Uncertainty Quantification 4
MA 615 Entrepreneurship 4
MA 616 Master Thesis 10
TOTAL CREDITS 30

 

Career Opportunities

The course aims to develop core skills in applied mathematics and allows students to specialize in industrial modelling or numerical analysis, in preparation for study towards a PhD or a career using mathematics within industry. An important element is the course regarding transferable skills which will link with academics and employers to deliver important skills for a successful transition to a research career or the industrial workplace.

 

Contact KIU:

  • study@kesmondsuniversity.org
  • admissions@kesmondsuniversity.org
  • www.kesmondsuniversity.org