Coventry University
UCAS Code: GG13 | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
A level
Mathematics at grade B or above. Excludes General Studies.
Considered on an individual basis.
GCSE/National 4/National 5
5 GCSEs at grade 4 / C or above to include English and Mathematics.
International Baccalaureate Diploma Programme
to include 5 points in Mathematics at Higher Level.
Considered on an individual basis.
Scottish Higher
B,C,C,C,C-C,C,C,C,C
to include Mathematics at Advanced Higher.
UCAS Tariff
[1] 4 qualifications for tariff points allowed (excludes general studies) [2] Must include 40 Tariff points in mathematics qualification [3] May also include AS level and EPQ
About this course
This course has alternative study modes. Contact the university to find out how the information below might vary.
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 methods
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
Tuition fees
Select where you currently live to see what you'll pay:
The Uni
Coventry University
School of Computing, Mathematics and Data Science
What students say
We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.
How do students rate their degree experience?
The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.
Mathematics
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
Statistics
Sorry, no information to show
This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.
Mathematics
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
Want to feel needed? This is one of the most flexible degrees of all and with so much of modern work being based on data, there are options everywhere for maths graduates. With all that training in handling figures, it's hardly surprising that a lot of maths graduates go into well-paid jobs in the IT or finance industries, and last year, a maths graduate in London could expect a very respectable average starting salary of £27k. And we're always short of teachers in maths, so that is an excellent option for anyone wanting to help the next generation. And if you want a research job, you'll want a doctorate — and a really good maths doctorate will get you all sorts of interest from academia and finance — and might secure some of the highest salaries going for new leavers from university.
Statistics
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
The business and research sectors worry that the UK hasn't got enough people with good statistics skills, and as stats are at the heart of so much of the economy, and we only have a few hundred graduates a year in the discipline, this type of degree can be very useful and versatile. The finance industry is very popular with this group, and they're far more likely to be working in London than most other graduates. And who can blame them — statistics graduates starting work in London were earning an average of nearly £29k just six months after leaving university. There is also demand from the Scottish finance sector in Edinburgh and Glasgow - particularly in banking and insurance. But a good statistician can find work almost anywhere that data can be analysed - which, in an online world, is almost anywhere - and many industries struggle to find enough statisticians to fulfil demand, so stay flexible and you can find a variety of options.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Mathematics
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£24k
£26k
£32k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
Statistics
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£24k
£26k
£32k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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Teaching Excellence Framework (TEF):
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This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).
This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.
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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.
You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.
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Post-six month graduation stats:
This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.
It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.
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Graduate field commentary:
The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show
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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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