Overview
Within this Data Analysis CertHE from The Open University UK, computing and data analysis play an important role in almost all private and public sector employment. The need to understand how to use IT and data to inform business decisions has never been more important.
It forms a foundation for further study or employment in the fields of mathematics, statistics, computing or data science.
Key facts:
- Introduces mathematical, statistical and computing techniques.
- Covers basic use of a range of appropriate software, including writing code in the Python language.
- Provides experience of carrying out data analysis and commenting on the results.
- Builds a solid foundation on which to continue on to a higher qualification in data science or employment in a wide range of sectors, including finance, government, health, education, the voluntary sector, business and commerce.
Career opportunities:
Data analysts and programmers are highly sought after in virtually all work places. The use of data analysis in social media, online commerce and government has revolutionised the digital economy, with employers across both the public and private sectors now recruiting data analysts and programmers to identify and solve complex business problems at the heart of strategic and operational decision making.
With further study or practical experience, students are well placed to develop their expertise in all areas of employment including business intelligence, management, biology, economics, education, engineering, environment studies, finance, government, logistics, medicine, meteorology, market research, sport and multinational businesses.
Programme Structure
Courses include:
- Analytics
- Big data
- Knowledge and understanding
- Cognitive skills
- Practical and professional skills
- Key skills
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
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Language
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Credits
Delivered
Campus Location
- Milton Keynes, United Kingdom
Disciplines
Data AnalyticsWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- There are no formal entry requirements to study this qualification, but it’s very important you’re well prepared to study mathematics at this level, and are able to read and write to a good standard of English. Ideally, you’ll also have some basic knowledge of computing.
- arithmetic of whole numbers, decimals and fractions (including negative numbers, powers and roots)
- algebraic manipulation, such as multiplying out brackets, factorising simple expressions, solving linear and quadratic equations, manipulating algebraic fractions and manipulating powers of variables
- percentages, ratio and proportion
- simple inequalities
- exponential functions, logarithms and the rules for manipulating them.
Tuition Fees
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International Applies to you
Applies to youNon-residents8184 GBP / year≈ 8184 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents7784 GBP / year≈ 7784 GBP / year
Funding
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Scholarships Information
Below you will find Bachelor's scholarship opportunities for Data Analysis.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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