Attend a wide range of lectures, seminars and events. Financial institutions or biological research colleagues. Alternatively, you may need frequent input from those who supplied the data for your research, e.g. Computer scientists for machine learning-based projects. For example, you may work shoulder-to-shoulder with individuals from different disciplines supporting your research, e.g. Liaise with others – This could take many forms.Collect and analyse data – This could comprise developing computational models, running simulations and interpreting forecasts etc.Undertake research specific to your topic – This can include defining ideas, proving theorems and identifying relationships between models.Continually read literature – This will be to help develop your knowledge and identify current gaps in the overall body of knowledge surrounding your research topic.What you do day-to-day will largely depend on your specific research topic. Theoretical and Computational Optimisation.For example, your research topic may relate to: Some examples of topics you can research are:īesides this, because maths focuses on addressing interdisciplinary real-world problems, you may work and collaborate with other STEM researchers. These areas usually fall into one of three categories: pure mathematics, applied mathematics or statistics. As such, there’s a significant number of different areas you can research as a math student. Maths is a vast subject, both in breadth and in depth.
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