Mathematics and Statistics at Coventry University - UCAS

Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

In today’s competitive world, many types of businesses and organisations are seeking out 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 areas such as education to the environment, finance to forensics, sport technology or transportation. This course combines the study of mathematics and data analysis, helping to prepare you to tackle a huge variety of interesting and engaging problems from business forecasting and simulation to medical statistics and survival analysis. You will develop a range of core graduate skills, much valued by employers, including the ability to think clearly and logically, analyse complicated data sets, solve problems, make recommendations, and communicate technical information in a language everyone can understand. You will have an opportunity for industrial collaboration. Coventry University has a long tradition of teaching mathematics and statistics with a special emphasis on its applications in practical situations. We have a strong portfolio of previous industrial research collaborations with, for example, the National Energy Laboratory, Calham Centre for Fusion Energy and Alcan. Key Course Benefits

  • You will be taught by a teaching team which includes active world renowned researchers in applied mathematics with expertise in complex systems and fluid dynamics, who share their cutting edge research expertise through teaching and supervising projects.
  • The teaching team is passionate about and uniquely oriented towards success and well being of their students.
  • You’ll have access to our computing facilities, which enable you to gain experience using mathematical software packages, like R, python, and MATLAB®.
  • You’ll also receive tailored one-to-one assistance from Sigma, the university’s Centre for Excellence in Mathematics and Statistics Support, which previously won the Times Higher Education (THE) award for Outstanding Support for Students.
  • You will be encouraged and supported to adopt an international perspective with opportunities to conduct Online International Learning (OIL) activities with students from around the world, participate in field trips overseas or spend a year studying abroad in Europe, America or Australia*. We also provide support to help you apply for professional experience on placement opportunities. Previous sandwich year opportunities have been offered by GlaxoSmithKline pharmaceuticals, Jagex Game Studios, The Warner Bros, National Grid, Morgan Stanley financial services, E.ON, Cummins, TATA and Birmingham Airport.
*Note that travel costs for mandatory field trips are covered by the University’s flying-start scheme. The cost of optional international field trips is borne by the student. Please note that we are unable to guarantee any placement or study abroad opportunities and that all such opportunities may be subject to additional costs (for example travel, visas and accommodation etc.), competitive application, availability and/or meeting any applicable visa requirements. To ensure that you fully understand the requirements in this regard, please contact the International Office for further details if you are an EU or International student.

Modules

This course has a common first year. In the first year, the curriculum is shared across related courses allowing you to gain a broad grounding in the discipline before going on, in the second and third years, to specialist modules in your chosen field. We want your degree to fit around you, so upon successful completion of your first year, you could swap degrees with another course in your common first year (subject to meeting progression requirements). Common first-year courses: Mathematics BSc (Hons) Physics and Mathematics BSc (Hons) Modules Calculus Algebra Programming 1: Concepts and Algorithms Probability and Statistics Mechanics and Numerical Methods Mathematical Case Studies Year Two In the second year you will develop the mathematics and statistics which you started in year one concentrating further on a core of theoretical and applicable mathematics, from linear algebra and further calculus, through ordinary and partial differential equations to real analysis and a block of bespoke modules on statistics. Modules Further Calculus and Complex Analysis Linear Algebra and Differential Equations Statistical Computing Partial Differential Equations and Analytical Mechanics Real Analysis Linear Statistical Models Placement Year There’s no better way to find out what you love doing than trying it out for yourself, which is why a work placement* can often be beneficial. Work placements usually occur between your second and final year of study. They’re a great way to help you explore your potential career path and gain valuable work experience, whilst developing transferable skills for the future. If you choose to do a work placement year, you will pay a reduced tuition fee* of £1,250. For more information, please go to the fees and funding section. During this time, you will receive guidance from your employer or partner institution, along with your assigned academic mentor who will ensure you have the support you need to complete your placement. Final Year Year three aims to bring you to the level to enter the world of work by consolidating your knowledge and skills from year one and two. You will develop more advanced knowledge and skills to do with: number theory and cryptography, statistical methods, and financial mathematics, amongst others. Modules Number Theory and Cryptography Statistical Methods for Data Science Machine Learning Advanced Topics in Statistics Project Optional Modules (one of the following): Financial Mathematics Artificial Neural Network We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated. Before accepting any offers, please check the website for the most up to date course content. For full module details please check the course page on the Coventry University website. *For further information please check the course page on the Coventry University website

Assessment method

This course will be assessed using a variety of methods which will vary depending upon the module. Assessment methods may include: Formal examinations Phase tests Essays Group work Presentations Reports Projects Coursework Individual Assignments The Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards achieving the intended learning outcomes. We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated. Before accepting any offers, please check the website for the most up to date course content. For full module details please check the course page on the Coventry University website. *For further information please check the course page on the Coventry University website

Professional bodies

Professionally accredited courses provide industry-wide recognition of the quality of your qualification.

  • Mathematics and its Applications, Institute of

How to apply

Application codes

Please select a course option – you will then see the application code you need to use to apply for the course.

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

All applications are considered on an individual basis and the whole application is reviewed which includes previous and predicted qualifications, experience, reference and your motivation to study the course. The University also accepts the BTEC Level 3 National Extended Certificate / BTEC Level 3 Subsidiary Diploma and BTEC Level 3 National Diploma / BTEC Level 3 Diploma for entry onto degree programmes, provided that they are studied in combination with other qualifications that are equivalent to three A2 Levels. This may include subject specific requirements where necessary. If you are successful in receiving an offer, you will be invited to an Applicant Visit Day to discover more about the course and studying at Coventry University.


Student Outcomes

Operated by the Office for Students

There is no data available for this course. For further information visit the Discover Uni website.

Fees and funding

Tuition fees

England £9250* Year 1
Northern Ireland £9250* Year 1
Scotland £9250* Year 1
Wales £9250* Year 1
Channel Islands £9250* Year 1
Republic of Ireland £9250* Year 1

*This is a provisional fee and subject to change.

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Mathematics and Statistics at Coventry University - UCAS