Advanced Computational Mathematics 12 months Postgraduate Programme By University of Strathclyde |TopUniversities
Subject Ranking

# 251-300QS Subject Rankings

Programme Duration

12 monthsProgramme duration

Main Subject Area

MathematicsMain Subject Area

Programme overview

Main Subject

Mathematics

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Study with us
  • designed for students with a strong background in mathematics, computational science, or numerical methods
  • develop expertise in computational methods, algorithm development, machine learning theory and numerical methods
  • gain computational skills that are highly sought after in finance, engineering and data-driven industries


Why this course?

Our MSc Advanced Computational Mathematics is an advanced course, offering the opportunity to develop understanding of computational mathematics and numerical analysis, enabling students to model complex real-world problems. The course combines theoretical foundations with practical computing skills, making students highly employable in finance, technology and scientific computing. 

You will have the opportunity to gain skills in:

  • computation and algorithmic techniques
  • machine learning
  • development and implementation of numerical methods
  • working in an interdisciplinary framework
  • problem solving
  • effective communication

Programme overview

Main Subject

Mathematics

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Study with us
  • designed for students with a strong background in mathematics, computational science, or numerical methods
  • develop expertise in computational methods, algorithm development, machine learning theory and numerical methods
  • gain computational skills that are highly sought after in finance, engineering and data-driven industries


Why this course?

Our MSc Advanced Computational Mathematics is an advanced course, offering the opportunity to develop understanding of computational mathematics and numerical analysis, enabling students to model complex real-world problems. The course combines theoretical foundations with practical computing skills, making students highly employable in finance, technology and scientific computing. 

You will have the opportunity to gain skills in:

  • computation and algorithmic techniques
  • machine learning
  • development and implementation of numerical methods
  • working in an interdisciplinary framework
  • problem solving
  • effective communication

Admission Requirements

12 Months
Sep

Scholarships

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