Department of Mathematics and Statistics

Mathematics and Statistics are living subjects which underpin the modern world of science, technology and business.

The Department of Mathematics and Statistics aims to provide high quality training for future professional mathematicians, statisticians, engineers, business professionals and other scientists, and to undertake cutting edge research which will impact on the real world.

 Research

To organise teaching and to promote and encourage research, activities have been focused into five groups:

• Applied Analysis
• Continuum Mechanics and Industrial Mathematics
• Numerical Analysis and Scientific Computing
• Population Modelling and Epidemiology
• Stochastic Analysis

 Fully-funded PhD studentships available

The University of Strathclyde has more than 40 fully-funded PhD studentships available for research projects in the fields of Engineering, Science, Business and the Humanities.

The following studentships are available in the Department of Mathematics and Statistics:

• Development and implementation of parallel adaptive solution algorithms for computational electromagnetics
• Data mining for exotic pathogen spread
• Mathematical modelling: a tool for improving the performance of Intelligent Inks Systems

Flashes of Inspiration - full details of all 40 Studentships (external link)

 Courses

The Department offers an enhanced MMath Undergraduate degree in Mathematics, a range of BSc Honours Undergraduate Degrees and MPhil, MSc, MRes and PhD Postgraduate Degrees.

For information about applying to study please visit our pages on:

• Undergraduate Courses
• Postgraduate Degrees

Vacancies

• EPSRC Case Studentship: Stochastic Modelling in Finance: Monte Carlo Simulations and Parameter Estimation

View more Vacancies.

 Seminars

• Tue 7th, 4pm - LT907Dr Dalibor LukasMultigrid-FETI for Magnetostatics, Fast BEM for Acoustics
• Tue 14th, 9:30am - LT907Professor J.S. (Pat) Heslop-Harrison
  Prof. Peter Swain
  Dr R. Grima
  Dr J. Kim
  Dr Y. Mao
  Dr. Y. Zhao
  Dr. A. TournierWorkshop on Stochastic Modelling of Biological Networks

View more Seminars.