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Teresa Brunsdon

Dr Teresa Brunsdon PhD, MSc, BSc (Hons), FRSS

Senior Lecturer in Applied Statistics


Teresa delivers modules on our BSc Mathematics degree. She recently stepped down as the course leader for MSc Big Data Analytics to launch a new undergraduate degree in BSc (Honours) in Data Science. She now has the role as course leader of this new and exciting degree route. Teresa has the responsibility for the smooth running of this route. She works closely with other academic, administrative and IT colleagues to ensure that students gain the skills they need to equip them for employment whilst at the same time giving them an excellent student experience. She is a fellow of the Royal Statistical Society.


Teresa gained her first degree in Mathematics and then went on to study a Masters degree in Applied Statistics. Her PhD was on the Time Series Analysis of Compositional Data. After her PhD Teresa was a post-doctoral research fellow on the use of Dynamic Factor Analysis and she had a Teaching fellowship at Southampton University. She joined Sheffield Hallam (then Sheffield City Polytechnic) in September 1988.

Specialist areas of interest

Health Data
Data Mining
Time Series of Compositional Data
Statistics and the links with Machine Learning and Artificial Intelligence


Department of Engineering and Mathematics

College of Business, Technology and Engineering

Applied Statistics
Data Mining
SAS statistical software

BSc (Hons) Mathematics
BSc (Hons) Mathematics(Statistics)

Data Mining with Business Applications
Statistical Theory and Methods
Mathematical Technology
Final Year Projects


Research groups

  • Mathematics, Statistics and Mathematics Education Research Group (MSME)
  • Cultural Communication and Computing Research Institute
  • Collaboration with Faculty of Health and Wellbeing, Sheffield Hallam University
  • Collaboration with Sheffield Business School

Teresa is currently working with a team looking at Sheffield Health Care Data, with particular reference to hospital admissions. In addition, she is working on the area concerning text classification. She supervises seven Doctoral students. These students are working on banking data, oil price data and text analytics in a variety of domains.

Faculty of Health and Wellbeing, Sheffield Hallam University


Journal articles

Hirsch, L., & Brunsdon, T. (2018). A comparison of Lucene search queries evolved as textclassifiers. Applied Artificial Intelligence, 32 (7-8), 768-784.

Conference papers

Baldwin, J., Brunsdon, T., Gaudoin, J., & Hirsch, L. (2018). Towards a social media research methodology: Defining approaches and ethical concerns. International journal on advances in life sciences, 10.

Theses / Dissertations

Ogunleye, B.O. (2022). Statistical learning approaches to sentiment analysis in the Nigerian banking context. (Doctoral thesis). Supervised by Gaudoin, J., Brunsdon, T., Maswera, T., & Hirsch, L.

Zhao, K. (2021). Comparative bank financial risk management models in fintechs and challenger banks. (Doctoral thesis). Supervised by Serbera, J.-.P., Lingham, E., Katsiampa, P., Brunsdon, T., & Ezepue, P.

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