We use cookies to allow us and selected partners to improve your experience and our advertising. By continuing to browse you consent to our use of cookies. You can understand more and change your cookies preferences here.

Coventry University

Mathematics and Data Analytics

UCAS Code: 257A

Master of Science - MSci

Entry requirements


A level

A,B,B

to include Mathematics. 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

31

to include 5 points in Mathematics at Higher level.

Considered on an individual basis.

UCAS Tariff

128

We've calculated how many Ucas points you'll need for this course.

About this course


This course has alternative study modes. Contact the university to find out how the information below might vary.

Course option

4years

Full-time | 2019

Other options

5 years | Sandwich | 2019

Subjects

Mathematics

Numerical analysis

Big Data has become a major phenomenon in the 21st century world of business, rendering traditional data processing applications inadequate and increasing the demand for sophisticated data analysts who can collate, interpret and draw value from complex data sets.

Responding to this trend, our new integrated Master’s course brings together a range of mathematical, statistical and computational techniques, which incorporate probability, predictive analytics and advanced modelling to extract value and make sense of multiple sets and large amounts of data. As an integrated undergraduate and postgraduate course, you can qualify at Master’s Level.

One of the top 15 universities in the country (Guardian University Guide 2019), Coventry has a long tradition of teaching mathematics with a strong emphasis on its applications in practical situations.

**Year 1**
The first year lays the foundation of the mathematical and computational foundations on which the rest of the course builds, with an introduction to computing, data structures, probability and exploratory data analysis.

**Year 2**
During the second year, you we aim to strengthen your knowledge of the core mathematical methods, broadening the data analytic and statistical elements. 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.

We will provide training in R and SPSS, two of the leading commercial software packages for data entry and manipulation, exploratory data analysis, the creation of professional charts and tables and a variety of statistical analyses.

**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**
In the third year, you should continue to deepen your specialist knowledge and can opt to engage in a dissertation project, carrying out in-depth data analysis in a field that interests you, under the weekly supervision of our statisticians. Recent statistics project topics have included modelling of football data, medical data and environmental data, forecasting wine sales and credit risk modelling.

**Additional Year**
In the fourth and final year of the course, successful students should acquire knowledge of how to analyse more complex, high-volume, high-dimensional, structured and unstructured data from varying sources. You should also learn to create relevant software solutions to be used in data science.

Tuition fees

Select where you currently live to see what you'll pay:

England
£9,250
per year
EU
£9,250
per year
Northern Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

Coventry University

Department:

School of Computing, Electronics and Maths

TEF rating:

Calculate your living costs

See how much you'll need to live on at your chosen university, with our student budget calculator.

See your living costs
Read full university profile

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.

75%
low
Mathematics
75%
low
Numerical analysis

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

71%
Staff make the subject interesting
84%
Staff are good at explaining things
77%
Ideas and concepts are explored in-depth
80%
Opportunities to apply what I've learned

Assessment and feedback

Feedback on work has been timely
Feedback on work has been helpful
Staff are contactable when needed
Good advice available when making study choices

Resources and organisation

93%
Library resources
74%
IT resources
80%
Course specific equipment and facilities
79%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

95%
UK students
5%
International students
66%
Male students
34%
Female students
64%
2:1 or above
8%
Drop out rate

Most popular A-Levels studied (and grade achieved)

C
C
D

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.

£19,000
low
Average annual salary
100%
high
Employed or in further education
99%
high
Employed in a role where degree was essential or beneficial

Top job areas of graduates

60%
Business, finance and related associate professionals
10%
Teaching and educational professionals
8%
Sales, marketing and related associate professionals
What do graduate employment figures really tell you?

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.

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.

£19k

£19k

£25k

£25k

£28k

£28k

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.

Share this page

This is what the university has told Ucas about the criteria they expect applicants to satisfy; some may be compulsory, others may be preferable.

Have a question about this info? Learn more here

This is the percentage of applicants to this course who received an offer last year, through Ucas.

Have a question about this info? Learn more here

This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

Have a question about this info? Learn more here

Course location and department:

This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

Have a question about this info? Learn more here

Teaching Excellence Framework (TEF):

We've received this information from the Department for Education, via Ucas. This is how the university as a whole has been rated for its quality of teaching: gold silver or bronze. Note, not all universities have taken part in the TEF.

Have a question about this info? Learn more here

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).

We calculate a mean rating of all responses to indicate whether this is high, medium or low compared to the same subject area at other universities.

Have a question about this info? Learn more here

This information is from the Higher Education Statistics Agency (HESA).

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.

Have a question about this info? Learn more here

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.

Have a question about this info? Learn more here

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

Have a question about this info? Learn more here

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?

Have a question about this info? Learn more here