England
Where do you live?
What you will study
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Types and sources of business data. -
Visualising and exploring data in Microsoft Excel. -
Descriptive analysis of datasets with one and two variables. -
Sampling from a population. -
Basics of probability theory. -
Randomness in business data and possible distributions of data. -
Big data and its significance in modern business. -
Principles of statistical estimation. -
Hypothesis testing and confidence intervals. -
Modelling relationships between variables. -
Linear regression. -
Index numbers. -
Introduction to forecasting. -
Using regressions to make forecasts.
You will learn
Vocational relevance
Teaching and assessment
Support from your tutor
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marking your assignments and offering detailed feedback to help you improve -
providing individual guidance, whether that’s for general study skills or specific module content -
guiding you to additional learning resources -
facilitating online discussions between your fellow students in the dedicated forums.
Assessment
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2 Tutor-marked assignments (TMAs) -
End-of-module assessment
What's included
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a week-by-week study planner -
module materials, including datasets to practice your analytical skills -
audio and video content -
assignment details and submission section -
online tutorial access.
Qualifications
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Certificate of Higher Education in Business Management (T27) -
Certificate of Higher Education in Mathematical Sciences (T14) -
Certificate of Higher Education Open (T09) -
Diploma of Higher Education in Business Management (W51) -
Diploma of Higher Education in Marketing and Business Management (W21) -
Diploma of Higher Education in Mathematical Sciences (W43) -
Diploma of Higher Education Open (W34) -
BA (Honours) Business Management (Q91) -
BA (Honours) Marketing and Business Management (R84) -
BA/BSc (Honours) Open degree (QD) -
BSc (Honours) Combined STEM (R28) -
BSc (Honours) Mathematics (Q31) -
BSc (Honours) Mathematics and its Learning (Q46) -
BSc (Honours) Mathematics and Statistics (Q36)
Future availability
Regulations
Entry requirements
Preparatory work
Computing requirements
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Primary device – A desktop or laptop computer with at least 8 GB of RAM and a quad-core processor (2.4 GHz minimum speed). It’s possible to access some materials on a mobile phone, tablet or Chromebook; however, they will not be suitable as your primary device. -
Peripheral device – Headphones/earphones with a built-in microphone for online tutorials. -
Operating systems – Windows 11 or the latest supported macOS. -
Internet access – Broadband or mobile connection. -
Browser – Google Chrome and Microsoft Edge are recommended; Mozilla Firefox and Safari may be suitable. -
Our OU Study app operates on supported versions of Android and iOS. -
Software – You will need to use Microsoft Excel and its Data Analysis ToolPak, which will be provided. It is important that your device can run this software.
If you have a disability
Course fee
| Start | End | Register by | England fee |
|---|---|---|---|
| 03 Apr 2027 | 30 Sep 2027 | 11 Mar 2027 | £2,044 |
Additional costs
Study costs
Ways to pay
Open University Student Budget Account
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Register now, pay later – OUSBA pays your module fee direct to the OU. You then repay OUSBA interest-free and in full just before your module starts. 0% APR representative. This option could give you the extra time you may need to secure the funding to repay OUSBA. -
Pay by instalments – OUSBA calculates your monthly fee and number of instalments based on the cost of the module you are studying. APR 5.1% representative.
Employer sponsorship
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Your employer just needs to complete a simple form to confirm how much they will be paying and we will invoice them. -
You won’t need to get your employer to complete the form until after you’ve chosen your module.
