1. My course optionsCourse options
  2. Course info
  3. My top 5

BSc (Hons) Mathematics and Statistics (Sandwich)

Coventry University
Make sure to register or to save your preferences and uni choices!
Key facts Update preferences
Distance
Location:
Main Site
Miles from home:
add postcode to get distance
Train time:
Car time:
National student survey KIS
University score:
91%

Graduate salary information not available.

Financial KIS

Graduate salary information not available.

Course details
Course UCAS code: GG13
Qualification type:
  • BSc (Hons), Sandwich , Duration: 4 Years
Course Summary:
In today’s 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. **Year 1** 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. **Year 2** 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. **Final Year** 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.
Modules:
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, Green’s 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:

15 January

Not specified Not specified
Not specified
Not specified
Not specified
Not specified
Not specified

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!

Set for Year 1 for EU at £9,250
Set for Year 1 for England at £9,250
Set for Year 1 for Northern Ireland at £9,250
Set for Year 1 for Scotland at £9,250
Set for Year 1 for Wales at £9,250
UK Admissions Office:
Tel. 024 7765 2222
Email. [email protected]

UK Admissions Office:
Tel. 024 7765 2222
Email. [email protected]

 
Top TSR member reviews
  • Navakiza's avatar by Navakiza on 5th October 2015
    Awesome, seems like these next three years are really going to prepare me for the world of work and give me a good degree.
  • lightergait's avatar by lightergait on 18th September 2015
    Absolutely brilliant. They have changed my entire personality in a positive way, which has made me such a better person. They allowed to fulfil my environmental activist dreams and goals and support me no matter what.
  •  
     
    Ask a question
    Super! Your question has now been posted
    Your question will be posted in the Coventry University forum

    Please enter what your question is about.

    Please enter your question.

    Your message must have two characters or more.

    Connect with other students interested in this course

    Stay ahead of the uni application process by connecting with students who are applying to this uni. Keep up to date with who is getting interviews, when they receive offers and if they have accepted a place.

    1,295
    students are already connected at Coventry University
    Update your information
    Distance from home
    1. OR choose a region(s)
    Your predicted grades
    1. Total points: 0
    2. add another

    The Student Room, Get Revising and Marked by Teachers are trading names of The Student Room Group Ltd.

    Register Number: 04666380 (England and Wales), VAT No. 806 8067 22 Registered Office: International House, Queens Road, Brighton, BN1 3XE