Course summary
This course aims to provide students with a deep knowledge of a chosen topic in mathematics or statistics and develop their research skills in project planning, reviewing literature, group discussions, research presentations and writing publications. Students can choose to work with experts from a range of areas including quantum cryptography, graph theory, statistical analysis, bioinformatics and mathematical modelling.
Modules
Core modules: Research Methods; Research Project. Optional modules: Computational Statistics and Data Analysis; Applied Statistics; Statistical Modelling; Mathematical Recipes; Topics in Mathematical Biology; Linear Systems; Topics in Applied Mathematics; Numerical Analysis and Dynamical Systems; Topics in Pure Mathematics; Coding Theory and Cryptography.
Assessment method
Research project dissertation, written assignments, oral presentation, poster presentation, formal examination, progress portfolio.
Entry requirements
A UK Honours degree (minimum 2.1) or higher qualification in a related subject. Appropriate experience or other relevant qualifications will also be considered. Applicants whose first language is not English should have an IELTS score of 6.5.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Please see our Fees and Funding page:
https://www.ntu.ac.uk/study-and-courses/postgraduate/fees-and-funding
Sponsorship information
Visit our website for more information on our scholarships and bursaries. https://www.ntu.ac.uk/study-and-courses/postgraduate/fees-and-funding
Provider information
Nottingham Trent University
50 Shakespeare Street
Nottingham
NG1 4FQ