Mathematics and Statistics (Q36)
Open University
UCAS Code: Not applicable | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
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About this course
Gain extensive knowledge of probability and statistics. Combine this with pure mathematics or applied mathematics. This degree will equip you with problem-solving and decision-making tools. You’ll experience using statistical software and practise conducting and communicating statistical investigations. You’ll develop your understanding of big data, multivariate data analysis, regression analysis, and hypothesis testing, plus explore classical and Bayesian statistics. A mathematics and statistics degree can let you access to professional training or entry-level roles in various career areas, such as data analysis, finance, teaching, and statistics.
**Key features of the course**
- Accredited by the Institute of Mathematics and its Applications (IMA) and the Royal Statistical Society (RSS).
- Build expertise in analytical approaches, classical and Bayesian statistics, and the underpinning mathematical theory.
- Complement statistics with pure or applied mathematics to fit your needs and interests.
- Practise conducting and communicating statistical investigations and using professional software.
- Start at a point that suits your level of mathematical knowledge.
- Move to a different mathematics degree, if your aspirations change, even after you’ve started.
Modules
This degree has three stages, each comprising 120 credits.
In Stage 1, you’ll study four 30-credit modules from the default or intensive start.
In Stage 2, you’ll study two 30-credit statistics modules and one 60-credit module from the applied or pure mathematics route.
In Stage 3, you’ll study three 30-credit statistics modules and choose one 30-credit module from your chosen route.
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
Statistics
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
After graduation
We don't have more detailed stats to show you in relation to this subject area at this university but read about typical employment outcomes and prospects for graduates of this subject below.
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.
£29k
£30k
£35k
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.
£29k
£30k
£35k
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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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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