In todayâs competitive world, all types of businesses and organisations are crying out for people who can interpret complex data and explain their findings and the implications simply and effectively.
If you like working with numbers, have strong IT skills and enjoy analysing information, a future career as a data analyst or statistician might be right for you. It could lead to roles in anything from education to the environment, finance to forensics, sport technology or transportation.
Coventry has a long taught mathematics with a strong emphasis on its applications in practical situations. Accredited by the Institute of Mathematics and its Applications (IMA), this course meets the educational requirements towards gaining Chartered Mathematician status. This represents the first stage of two and you will need to undertake further training and experience in employment.
Your first year lays the foundation for the study of mathematics and statistics, including topics such as algebra, calculus and numerical methods. You should develop knowledge and understanding in the theory and practice of statistics, exploring the concept of probability.
Throughout your studies, you will have opportunities to participate in a series of skills development sessions to improve your digital literacy, as well as presentation and writing skills, particularly in a mathematical context. We aim to familiarise you with a range of computational software related to the fields of mathematics and statistics, such as LaTeX, Excel, Matlab, Python, Maple, Minitab, SPSS and R.
During the first year, you will also be given the opportunity to opt in to the scheme to participate in our Secondary Initial Teacher Training programme. As a SCITT trainee you will spend time during your second and third year of your subject degree, teaching and learning alongside expert practitioners. There will be one day a week release from your degree to facilitate this. As a Secondary SCITT accredited trainee you will train in across the 11-16 secondary phase. You will work with selected partner(s) school within the Coventry SCITT. Students who undertake this pathway must decide during their first year of their degree if they wish to opt into the Secondary School Experience pathway. This is followed by a numeracy and literacy test and interview for selection. Subject to passing the entrance test students will then follow the training pathway as defined in section 13. Those who choose not to participate will follow the normal course structure.
During the second year, you should strengthen your knowledge of the core mathematical methods and look at some of the most commonly used statistical techniques, namely multiple regression and analysis of variance (ANOVA).
Your study will have a strong practical emphasis in modern data analysis, so we will examine how statistical inference and modelling is applied in areas such as industry, medicine, agriculture, commerce, government, research and development. You will also select a module from a range of modules, such as operational research, discrete mathematics or mathematics of modern physics.
**Optional Placement Year**
Following your second year, you will have an option to apply for a one-year professional work placement or study abroad in a partner institution.
The final year should continue to deepen your specialist knowledge, incorporating areas such as optimisation and statistical design, and a choice of optional modules from topics such as financial mathematics and cryptography.
You will also engage in a dissertation project carrying out in-depth statistical investigations in a field that interests you, under the supervision of one of our statisticians. Recent statistics project topics have included modelling of football data, medical data and environmental data.
Our main study themes are:
* **Statistics**: You should learn techniques for the collection, analysis, interpretation, presentation, and organisation of different types of complex data. We will cover probability, hypothesis tests, analysis of variance, regression models, design of experiments, a range of advanced topics in statistics and statistical computing.
* **Algebra and calculus**: We will cover the core mathematical methods with an introduction to abstract algebra, including some number theory. We will examine the theory of real functions and the mathematics underpinning it.
* **Mathematical and numerical analysis**: Provides a rigorous foundation in the analysis of sequences, series and continuous functions, including differentiability and the Riemann integral. We will examine a variety of numerical analysis methods, such as graph theory, and develop basic scientific programming skills to be able to use relevant programming languages, such as Python or Matlab.
* **Mathematical modelling**: We will explore means of mathematical modelling, using case studies to illustrate different techniques and then applying them during laboratory sessions. We cover differential equations, including linear and nonlinear systems, qualitative theory, phase space, phase portraits, trajectories and the bifurcation theory for parametrized equations. We also study partial differential equation and the methods to solve them, including separation of variables, method of characteristics, integral transforms, Greenâs function etc. We will develop the use of Newtonian mechanics and its use in modelling physical situations, together with a brief introduction to special relativity.
Application deadline details:
This university is the holder of Modern Uni of the year for the past three years and sprawls across the centre of Coventry. Literally hundreds of bars and restaurants are within walking distance, in addition to Coventry's central location making all UK day-trips feasible. Top 15 uni, amazing city... It's Coventry!
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